diff --git a/README.md b/README.md index 4b528166..5cc79523 100644 --- a/README.md +++ b/README.md @@ -199,6 +199,109 @@ Now the new benchmark is easy to use and the results for any system can be repro We also introduced the [Hardware Benchmark](https://benchmark.clickhouse.com/hardware/) for testing servers and VMs. +## Systems Included + +- [x] ClickHouse +- [x] ClickHouse on local Parquet files +- [x] ClickHouse operating like "Athena" on remote Parquet files +- [x] ClickHouse on a VFS over HTTPs on CDN +- [x] MySQL InnoDB +- [x] MySQL MyISAM +- [x] MariaDB +- [x] MariaDB ColumnStore +- [x] MemSQL/SingleStore +- [x] PostgreSQL +- [x] Greenplum +- [x] TimescaleDB +- [x] Citus +- [x] Vertica (without publishing) +- [x] QuestDB +- [x] chdb +- [x] DuckDB +- [x] DuckDB over local Parquet files +- [ ] DuckDB operating like "Athena" on remote Parquet files +- [x] MonetDB +- [x] mapD/Omnisci/HeavyAI +- [x] Databend +- [x] DataFusion +- [x] ByteHouse +- [x] Doris/PALO +- [x] SelectDB +- [x] Druid +- [x] Pinot +- [x] CrateDB +- [ ] Spark SQL +- [x] Starrocks +- [ ] ShitholeDB +- [ ] Hive +- [x] Hydra +- [ ] Impala +- [ ] Hyper +- [x] Umbra +- [x] SQLite +- [x] Redshift +- [x] Redshift Serverless +- [ ] Redshift Spectrum +- [ ] Presto +- [ ] Trino +- [x] Amazon Athena +- [x] Bigquery (without publishing) +- [x] Snowflake +- [ ] Rockset +- [ ] CockroachDB +- [ ] CockroachDB Serverless +- [ ] Databricks +- [ ] Planetscale (without publishing) +- [ ] TiDB (TiFlash) +- [x] Amazon RDS Aurora for MySQL +- [x] Amazon RDS Aurora for Postgres +- [ ] InfluxDB +- [ ] TDEngine +- [x] MongoDB +- [ ] Cassandra +- [ ] ScyllaDB +- [x] Elasticsearch +- [ ] Apache Ignite +- [x] Motherduck +- [x] Infobright +- [ ] Actian Vector +- [ ] Manticore Search +- [x] Vertica (without publishing) +- [ ] Azure Synapse +- [ ] Starburst Galaxy +- [ ] MS SQL Server with Column Store Index (without publishing) +- [ ] Dremio (without publishing) +- [ ] Exasol +- [ ] LocustDB +- [ ] EventQL +- [ ] Apache Drill +- [ ] Apache Kudu +- [ ] Apache Kylin +- [x] S3 select command in AWS +- [x] Kinetica +- [ ] YDB +- [ ] OceanBase +- [ ] Boilingdata +- [x] Byteconity +- [ ] DolphinDB +- [x] Oxla +- [ ] Quickwit +- [x] AlloyDB +- [x] ParadeDB +- [x] GlareDB +- [ ] Seafowl +- [ ] Sneller +- [x] Tablespace +- [x] Tembo +- [x] Cloudberry +- [ ] Daft +- [x] Pandas +- [x] Polars + +By default, all tests are run on c6a.4xlarge VM in AWS with 500 GB gp2. + +Please help us add more systems and run the benchmarks on more types of VMs. + ## Similar Projects Many alternative benchmarks are applicable to OLAP DBMS with their own advantages and disadvantages.