real-time OLAP analytics / lakehouse query engine
StarRocks is a distributed SQL query engine (OLAP database) built for sub-second analytics and lakehouse queries, with vectorized execution and real-time updates.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Choose it if you prefer a Rust-based cloud-native warehouse with similar performance and built-in AI features over StarRocks's Java-based MPP engine.
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
Choose it if you need the mature C++ ecosystem, extensive integrations, and single-node efficiency of ClickHouse.
ClickHouse® is a real-time analytics database management system
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Choose it if you're already on Postgres and want columnstore analytics without deploying a separate OLAP cluster.
Real-time analytics on Postgres tables
Choose it if you want a lightweight DuckDB-backed lakehouse with minimal infrastructure requirements.
GigAPI is a Timeseries lakehouse for real-time data and sub-second queries, powered by DuckDB OLAP + Parquet Query Engine, Compactor w/ Cloud-Native Storage. Drop-in FDAP alternative ⭐
Choose it if your analytics are predominantly time-series and you need high ingestion rates.
QuestDB is a high performance, open-source, time-series database
Choose it if you need a multi-model database that also handles OLTP transactions, rather than a dedicated OLAP-only engine.
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Choose it if you must stay on PostgreSQL and need continuous time-series aggregation, but be aware it's unmaintained.
High-performance time-series aggregation for PostgreSQL
These projects were analysed and named starrocks among their alternatives. The relationship is not symmetric — how starrocks rates them is a separate judgement, made when starrocks is analysed in its own right.
calls starrocks “Distributed MPP SQL analytics engine with strong standard SQL and primary-key updates; choose for Java-centric lakehouse analytics.”
ClickHouse® is a real-time analytics database management system
calls starrocks “Direct MPP lakehouse/OLAP peer; choose it for a from-Doris-forked engine with strong query performance and broad ecosystem if Java is acceptable.”
Apache Doris is a real-time analytics and hybrid search database for AI agents.
calls starrocks “Pick for best-in-class sub-second queries on data lakehouse formats and strong materialized view support, with a Java-based stack.”
Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.
calls starrocks “Choose when you need a high-performance distributed query engine for lakehouse analytics.”
DuckDB is an analytical in-process SQL database management system
calls starrocks “Choose for sub-second analytics and lakehouse query performance, especially with external tables.”
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.