oci-benchmark-compare-e4-1 KVM testing on Ubuntu 20.04 via the Phoronix Test Suite. BlockVolume - AMD EPYC 7J13 64-Core: Processor: AMD EPYC 7J13 64-Core (8 Cores / 16 Threads), Motherboard: QEMU Standard PC (i440FX + PIIX 1996) (1.5.1 BIOS), Chipset: Intel 440FX 82441FX PMC, Memory: 64GB, Disk: 50GB BlockVolume, Graphics: bochs-drmdrmfb, Monitor: QEMU Monitor, Network: Red Hat Virtio device OS: Ubuntu 20.04, Kernel: 5.15.0-1042-oracle (x86_64), Vulkan: 1.1.182, Compiler: GCC 9.4.0, File-System: ext4, Screen Resolution: 1024x768, System Layer: KVM Apache CouchDB 3.3.2 Bulk Size: 500 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 866.82 |================================= Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 347.40 |================================= Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 13835647 |=============================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 343.08 |================================= Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 9978640 |================================ Apache CouchDB 3.3.2 Bulk Size: 300 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 589.45 |================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 49.35 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 48.54 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 38.05 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 31.60 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.24 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 183.53 |================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 50.50 |================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 2.12 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 2.62 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 2.20 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 5.30 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.38 |================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 183.85 |================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 4.15 |=================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 128 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 413.0 |================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 29.59 |================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1534103 |================================ Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 203.54 |================================= Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 14051591 |=============================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 50.29 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 49.09 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 37.83 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 33.42 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.38 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 182.63 |================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 50.71 |================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 46.39 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 47.02 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 38.18 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 37.32 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.29 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 183.43 |================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 49.21 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 47.00 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 47.67 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 38.37 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 33.19 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.35 |================================== Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 183.21 |================================= Apache Spark 3.3 Row Count: 40000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 50.17 |================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 95.12 |================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 63415381 |=============================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 134.25 |================================= Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11293262 |=============================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 141.00 |================================= Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 9274333 |================================ Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 139.20 |================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1711197 |================================ BlogBench 1.1 Test: Read Final Score > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 2493060 |================================ Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 26.71 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 25.95 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 20.82 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 15.15 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.25 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 183.42 |================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 28.45 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 25.18 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 24.49 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 18.95 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 14.33 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.41 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 182.80 |================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 26.82 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 25.10 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 23.46 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 19.21 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 14.76 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.41 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 181.63 |================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 26.29 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 25.54 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 23.01 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 19.41 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 14.50 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.25 |================================== Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 182.43 |================================= Apache Spark 3.3 Row Count: 20000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 26.10 |================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 23.65 |================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 74255934 |=============================== Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 115.87 |================================= Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 141422 |================================= Apache CouchDB 3.3.2 Bulk Size: 100 - Inserts: 3000 - Rounds: 30 Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 296.44 |================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 12.20 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 13.32 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 10.40 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 10.01 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.44 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 182.47 |================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 15.38 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 12.07 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 13.28 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 10.01 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 9.58 |=================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.29 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 182.81 |================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 1000 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 15.53 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 12.73 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 13.38 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 10.03 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 9.45 |=================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.37 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 183.33 |================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 15.84 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 12.18 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 12.52 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 10.13 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 9.89 |=================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.32 |================================== Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 181.82 |================================= Apache Spark 3.3 Row Count: 10000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 15.29 |================================== Apache CouchDB 3.3.2 Bulk Size: 500 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 259.88 |================================= Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 118.61 |================================= Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 346983 |================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 2.23 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 3.22 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 2.63 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 5.82 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.35 |================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 184.72 |================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 2000 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 4.55 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1.94 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 2.23 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 2.06 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 4.91 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.30 |================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 184.82 |================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 500 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 3.92 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Broadcast Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1.85 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Inner Join Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 2.09 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Repartition Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1.91 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Group By Test Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 4.45 |=================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Using Dataframe Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 11.46 |================================== Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - Calculate Pi Benchmark Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 182.69 |================================= Apache Spark 3.3 Row Count: 1000000 - Partitions: 100 - SHA-512 Benchmark Time Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 3.77 |=================================== OpenSSL 3.1 Algorithm: ChaCha20-Poly1305 byte/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 21555628533 |============================ OpenSSL 3.1 Algorithm: AES-256-GCM byte/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 31040289363 |============================ OpenSSL 3.1 Algorithm: AES-128-GCM byte/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 33942788230 |============================ OpenSSL 3.1 Algorithm: ChaCha20 byte/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 31733201033 |============================ OpenSSL 3.1 Algorithm: SHA512 byte/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 3485615440 |============================= OpenSSL 3.1 Algorithm: SHA256 byte/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 10489599133 |============================ Apache CouchDB 3.3.2 Bulk Size: 300 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 176.40 |================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 23.71 |================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 137384428 |============================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 272.51 |================================= Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 28571895 |=============================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 133.76 |================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1660385 |================================ Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 40.13 |================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1733365 |================================ Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 121.55 |================================= Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 542297 |================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 99.71 |================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1570267 |================================ Dragonflydb 1.6.2 Clients Per Thread: 10 - Set To Get Ratio: 1:1 Ops/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1711198.32 |============================= CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 1024 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 23736.0 |================================ CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 1024 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 21259.2 |================================ CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 1024 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 24923.4 |================================ CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 1024 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 27671.1 |================================ CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 512 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 25363.8 |================================ CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 512 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 26317.0 |================================ CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 512 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 22053.6 |================================ CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 256 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 21593.5 |================================ CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 512 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 29620.2 |================================ CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 256 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 30528.8 |================================ CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 256 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 26460.5 |================================ CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 256 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 25402.4 |================================ CockroachDB 22.2 Workload: KV, 10% Reads - Concurrency: 128 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 18970.6 |================================ CockroachDB 22.2 Workload: KV, 60% Reads - Concurrency: 128 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 25687.2 |================================ CockroachDB 22.2 Workload: KV, 50% Reads - Concurrency: 128 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 24060.1 |================================ CockroachDB 22.2 Workload: KV, 95% Reads - Concurrency: 128 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 30947.5 |================================ Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 41.33 |================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1691996 |================================ ebizzy 0.3 Records/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 566111 |================================= CockroachDB 22.2 Workload: MoVR - Concurrency: 512 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 402.9 |================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 256 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 408.8 |================================== CockroachDB 22.2 Workload: MoVR - Concurrency: 1024 ops/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 418.4 |================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 66.71 |================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 661597 |================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 123.11 |================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1385383 |================================ Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 33.35 |================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1379393 |================================ Apache CouchDB 3.3.2 Bulk Size: 100 - Inserts: 1000 - Rounds: 30 Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 92.26 |================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 21.01 |================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 889197 |================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 78.93 |================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 919687 |================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 111.81 |================================= Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 623862 |================================= Node.js V8 Web Tooling Benchmark runs/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 10.18 |================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 68.70 |================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1024249 |================================ Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 29.50 |================================== Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 624724 |================================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 Average Latency < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 66.09 |================================== Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 100 point/sec > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 270386 |================================= Perl Benchmarks Test: Pod2html Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 0.12812188 |============================= simdjson 2.0 Throughput Test: PartialTweets GB/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 3.25 |=================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 100 simdjson 2.0 Throughput Test: DistinctUserID GB/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 3.81 |=================================== simdjson 2.0 Throughput Test: TopTweet GB/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 3.77 |=================================== OpenSSL 3.1 Algorithm: RSA4096 verify/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 122472.6 |=============================== OpenSSL 3.1 Algorithm: RSA4096 sign/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 1880.2 |================================= simdjson 2.0 Throughput Test: Kostya GB/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 2.49 |=================================== Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Apache IoTDB 1.2 Device Count: 500 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 simdjson 2.0 Throughput Test: LargeRandom GB/s > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 0.86 |=================================== Perl Benchmarks Test: Interpreter Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 0.00098460 |============================= Apache IoTDB 1.2 Device Count: 800 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 100 SQLite 3.30.1 Threads / Copies: 1 Seconds < Lower Is Better BlockVolume - AMD EPYC 7J13 64-Core . 20.70 |================================== PostgreSQL 16 Scaling Factor: 100 - Clients: 500 - Mode: Read Only TPS > Higher Is Better etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 1000 Requests/sec > Higher Is Better etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 1000 Requests/sec > Higher Is Better etcd 3.5.4 Test: RANGE - Connections: 500 - Clients: 100 Requests/sec > Higher Is Better etcd 3.5.4 Test: RANGE - Connections: 50 - Clients: 1000 Requests/sec > Higher Is Better etcd 3.5.4 Test: RANGE - Connections: 100 - Clients: 100 Requests/sec > Higher Is Better etcd 3.5.4 Test: RANGE - Connections: 50 - Clients: 100 Requests/sec > Higher Is Better etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 1000 Requests/sec > Higher Is Better etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 1000 Requests/sec > Higher Is Better etcd 3.5.4 Test: PUT - Connections: 500 - Clients: 100 Requests/sec > Higher Is Better etcd 3.5.4 Test: PUT - Connections: 50 - Clients: 1000 Requests/sec > Higher Is Better etcd 3.5.4 Test: PUT - Connections: 100 - Clients: 100 Requests/sec > Higher Is Better etcd 3.5.4 Test: PUT - Connections: 50 - Clients: 100 Requests/sec > Higher Is Better Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 800 - Client Number: 400 Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400 Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400 Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 100 - Sensor Count: 200 - Client Number: 400 Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400 Node.js Express HTTP Load Test Requests Per Second > Higher Is Better Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 100 - Sensor Count: 500 - Client Number: 400 Apache IoTDB 1.2 Device Count: 200 - Batch Size Per Write: 1 - Sensor Count: 500 - Client Number: 400 Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 800 - Client Number: 400 Apache IoTDB 1.2 Device Count: 100 - Batch Size Per Write: 1 - Sensor Count: 200 - Client Number: 400 LevelDB 1.23 Benchmark: Hot Read Microseconds Per Op < Lower Is Better BlogBench 1.1 Test: Write Final Score > Higher Is Better BlockVolume - AMD EPYC 7J13 64-Core . 7694 |=================================== LevelDB 1.23 Benchmark: Sequential Fill Microseconds Per Op < Lower Is Better LevelDB 1.23 Benchmark: Random Delete Microseconds Per Op < Lower Is Better LevelDB 1.23 Benchmark: Seek Random Microseconds Per Op < Lower Is Better LevelDB 1.23 Benchmark: Random Read Microseconds Per Op < Lower Is Better LevelDB 1.23 Benchmark: Random Fill Microseconds Per Op < Lower Is Better LevelDB 1.23 Benchmark: Overwrite Microseconds Per Op < Lower Is Better LevelDB 1.23 Benchmark: Fill Sync Microseconds Per Op < Lower Is Better