apache/doris Alternatives

Direct MPP lakehouse/OLAP peer; choose it for a from-Doris-forked engine with strong query performance and broad ecosystem if Java is acceptable.

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.

Rust cloud-native data warehouse with analytics, search, and Python sandbox; choose it for S3-native lakehouse deployments.

Data Agent Ready Warehouse : One for Analytics, Search, AI, Python Sandbox. — rebuilt from scratch. Unified architecture on your S3.

Real-time columnar OLAP database with a huge ecosystem; choose it for extremely high-performance analytics, though its vector/lakehouse features are less complete than Doris's.

ClickHouse® is a real-time analytics database management system

Postgres-native search and analytics; choose it to keep application data, full-text, vector, and aggregations in one PostgreSQL deployment instead of adding Doris.

One Postgres for your application data, full-text search, vector retrieval, and aggregations. Home of the pg_search extension.

AI-native hybrid search database; choose it for dense/sparse/tensor/full-text retrieval in LLM apps when MPP lakehouse analytics are not needed.

The AI-native database built for LLM applications, providing incredibly fast hybrid search of dense vector, sparse vector, tensor (multi-vector), and full-text.

AI-native agent-storage database unifying vector/text/structured data; choose it for agent memory/search rather than BI/OLAP reporting.

The AI-Native Search Database. Best for agent storage, it unifies vector, text, structured, and semi-structured data into a single engine. This all-in-one database makes agents smarter, easier to run, and more stable.

Open-source search database with SQL, full-text, vector, and real-time indexing; choose it when you need SQL-capable search without lakehouse/MPP analytics.

Open-source search database for full-text, vector, and hybrid search with real-time indexing and SQL.

Postgres extension for real-time analytics; choose it to get columnar analytics on existing PostgreSQL tables instead of running a separate Doris cluster.

Real-time analytics on Postgres tables

Search-only engine; choose it for a lightweight API-first hybrid search experience when you don't need Doris's SQL/lakehouse analytics.

A lightning-fast search engine API bringing AI-powered hybrid search to your sites and applications.

Search-only engine; choose it for typo-tolerant in-memory full-text/vector search under GPL, not for OLAP/lakehouse workloads.

Open Source alternative to Algolia + Pinecone and an Easier-to-Use alternative to ElasticSearch ⚡ 🔍 ✨ Fast, typo tolerant, in-memory fuzzy Search Engine for building delightful search experiences

Vector database with metadata filtering; choose it for scalable pure vector search when no SQL analytics is required.

Weaviate is an open-source vector database that stores both objects and vectors, allowing for the combination of vector search with structured filtering with the fault tolerance and scalability of a cloud-native database​.

AI search platform with advanced ranking; choose it for large-scale personalized search, not for SQL/lakehouse analytics.

The AI search platform

In-process/search server for vector and lexical search; choose it for embedded lightweight search, not analytics.

SeekStorm: vector & lexical search - in-process library & multi-tenancy server, in Rust.

Embedded multimodal retrieval library; choose it for local/RAG retrieval inside an application instead of a server-side analytics database.

Developer-friendly OSS embedded retrieval library for multimodal AI. Search More; Manage Less.

In-browser/edge search and RAG library; choose it when you need a tiny full-text/vector search inside a JS app and no database server.

🌌 A complete search engine and RAG pipeline in your browser, server or edge network with support for full-text, vector, and hybrid search in less than 2kb.

Archived DuckDB-backed Postgres extension for data lake analytics; choose only for legacy PG lakehouse workloads and be prepared for no maintenance.

DuckDB-powered data lake analytics from Postgres

Timeseries lakehouse on DuckDB/Parquet; choose it for sub-second time-series queries, not general analytics/search.

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 ⭐

Dedicated vector database; choose it when you need massive-scale vector similarity search only, not SQL analytics.

Qdrant - High-performance, massive-scale Vector Database and Vector Search Engine for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

Lightweight vector-search infrastructure for AI; choose it for simple embedding retrieval, not for analytics or SQL workloads.

Search infrastructure for AI