Databases for Lakehouse

Fully managed cloud data warehouse with separate storage and compute, now spanning AI and apps.

Google's serverless, pay-per-query data warehouse built on Dremel and Colossus.

In-process columnar SQL database: the SQLite of analytics, running inside your app or notebook.

AWS's MPP columnar data warehouse, available as provisioned RA3 clusters or Serverless.

Serverless cloud data warehouse built on DuckDB, with hybrid local-plus-cloud execution.

Extensible Rust query engine library on Apache Arrow for building databases and data systems.

Serverless SQL warehouses on the Databricks lakehouse, powered by the Photon C++ engine.

Real-time MPP analytical database with MySQL compatibility, search indexes and lakehouse access.

MPP OLAP database with a fast vectorized engine, real-time upserts and native lakehouse queries.

Rust-built cloud data warehouse on object storage, open source with a managed Databend Cloud.

Streaming lakehouse table format with LSM-based upserts and changelogs, born in Apache Flink.

Postgres extension that mirrors tables into Iceberg columnstores for real-time analytics via DuckDB.

Columnar streaming storage for Flink with primary-key tables and tiering into the lakehouse.

Low-latency analytical database with a Postgres-compliant dialect, as cloud service or self-hosted Core.

Azure analytics service combining MPP dedicated SQL pools, serverless SQL and Spark.

T-SQL warehouse in Microsoft Fabric that stores every table as Delta Parquet in OneLake.

Commercial cloud and enterprise distribution of Apache Doris from its core maintainers.

IBM's MPP analytics edition of Db2 with BLU columnar acceleration, as software or SaaS.

Spark's SQL and DataFrame engine for large-scale batch, streaming and lakehouse processing.

Fast distributed SQL query engine for federated analytics across lakes and databases.

The original MPP data warehouse, now VantageCloud with open table formats and in-database analytics.

Distributed SQL query engine from Meta for interactive queries over data lakes and many sources.

The original SQL-on-Hadoop warehouse, now mostly valued for its Metastore and Iceberg support.

Low-latency MPP SQL engine for Hadoop, Kudu and Iceberg tables, developed largely by Cloudera.

Serverless AWS query service running Trino-based SQL directly over data in S3.

An Apache-licensed, Postgres-compatible streaming database that stores state on S3 and writes Iceberg.

Postgres extensions from Snowflake that read and write Iceberg tables and lake files, executed via DuckDB.

PostgreSQL extension that embeds DuckDB's vectorized engine for fast analytics and data-lake queries.

Rust-native, Spark Connect-compatible engine for SQL, DataFrame and streaming jobs without the JVM.

Iceberg-native lakehouse query engine with reflections for acceleration, owned by SAP since 2026.

Activeloop's tensor-native data engine for AI: vectors, multimodal data and versioning on object storage.

Lakehouse compute engine that runs SQL on Iceberg, Delta and Hudi in your own cloud account.

Open-source MPP warehouse forked from Greenplum and rebased on a newer PostgreSQL kernel.

Zero-ETL graph query engine that runs Cypher and Gremlin directly on your lakehouse and SQL tables.

A Rust stream processor with SQL pipelines, now owned by Cloudflare and powering Cloudflare Pipelines.

Self-driving Oracle Database on Exadata: auto-patching, auto-scaling, and Select AI, on OCI and other clouds.

Commercial Trino platform: self-managed Starburst Enterprise and the Starburst Galaxy SaaS.

Embedded, serverless retrieval database on the Lance columnar format for multimodal AI data.

An incremental SQL engine grounded in DBSP theory that updates any SQL query from changes only.

Databricks' serverless Postgres built on Neon tech, with branching and sync to Delta tables in Unity Catalog.

Oracle's managed MySQL with an in-memory columnar engine for analytics, lakehouse, ML and vector search.

Crunchy Data's developer-friendly managed Postgres across AWS, GCP and Azure, now owned by Snowflake.