cloud-native OLAP database / data warehouse with hybrid search
Databend is a cloud-native data warehouse engine in Rust for analytics, vector/full-text search, and AI agent workloads, with S3 storage and serverless architecture.
Same problem, same approach. Swapping one for another is a config change, not a rewrite.
Pick for battle-tested high-performance columnar analytics with a vast ecosystem, especially if you don't need built-in Python UDFs or S3-native lakehouse features.
ClickHouse® is a real-time analytics database management system
Pick for best-in-class sub-second queries on data lakehouse formats and strong materialized view support, with a Java-based stack.
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
Pick for an Apache-licensed real-time analytics database with hybrid search and a rich ecosystem, if you prefer Apache governance.
Apache Doris is a real-time analytics and hybrid search database for AI agents.
Solves the same problem with a different architecture or at a different layer. Expect to rewrite the integration.
Use when you need real-time analytics on existing Postgres tables without a separate warehouse; it's a Postgres extension rather than a standalone engine.
Real-time analytics on Postgres tables
Use when you want full-text/vector search and analytics inside Postgres without adding a separate warehouse engine.
One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.
Use when you want a distributed SQL database with Lucene-powered search and IoT-friendly features, and can accept a Java-based engine.
CrateDB is a distributed and scalable SQL database for storing and analyzing massive amounts of data in near real-time, even with complex queries. It is PostgreSQL-compatible, and based on Lucene.
Use for in-process embedded analytics with zero server overhead, when your workload fits in a single machine.
DuckDB is an analytical in-process SQL database management system
An earlier or more limited way to do the job. Still the right call when you need something small, proven, or CPU-only.
Pick for time-series analytic workloads with high ingestion rates, but you lose Databend's general warehouse and AI search capabilities.
QuestDB is a high performance, open-source, time-series database
These projects were analysed and named databend among their alternatives. The relationship is not symmetric — how databend rates them is a separate judgement, made when databend is analysed in its own right.
calls databend “Rust cloud-native data warehouse with analytics, search, and Python sandbox; choose it for S3-native lakehouse deployments.”
Apache Doris is a real-time analytics and hybrid search database for AI agents.
calls databend “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.”
The world's fastest open query engine for sub-second analytics both on and off the data lakehouse. With the flexibility to support nearly any scenario, StarRocks provides best-in-class performance for multi-dimensional analytics, real-time analytics, and ad-hoc queries. A Linux Foundation project.
calls databend “Rust-based cloud-native warehouse built for object storage; choose when you want decoupled compute/storage with MySQL-compatible SQL.”
ClickHouse® is a real-time analytics database management system
calls databend “When you want a cloud-native data warehouse on object storage with unified analytics/search/AI capabilities, but don't need Influx's specialized time-series features.”
Scalable datastore for metrics, events, and real-time analytics
calls databend “Choose Databend when you want a cloud-native analytics warehouse on object storage with separate compute and storage; it lacks QuestDB's dedicated time-series features and has a younger ecosystem.”
QuestDB is a high performance, open-source, time-series database
calls databend “Choose for cloud-native analytics on S3 with a unified warehouse/search/AI pipeline.”
OceanBase is the unified distributed database for the AI era — open-source, multi-model, one engine for your most demanding workloads.