Alternatives to Doris

Databend is an open-source, cloud-native data warehouse in Rust that runs BI analytics, vector search, full-text search and geospatial on

Open-source RAG engine with built-in ETL, hybrid vector/BM25 search and visual agent orchestration for enterprise AI agents.

Vespa is an open-source AI search platform for hybrid vector, text, and tensor retrieval with machine-learned ranking.

Vespa AI is an open-source AI search platform for hybrid vector, text and structured retrieval with ML ranking in one query pass.

TiDB is a distributed SQL database for AI agents that unifies ACID transactions, HTAP analytics, and native vector search in one engine.

Lance is an open lakehouse format for multimodal AI, pairing a file format, table format, and catalog spec with hybrid vector and full-text search on object

NodeDB is a universal database engine that unifies vector, graph, document, columnar, key-value, full-text, sparse arrays, and CRDT in one binary over plain

Milvus is an open-source vector database for billion-scale similarity search, hybrid retrieval, and lake-native RAG workloads

LanceDB is an open-source multimodal lakehouse that keeps curation, feature engineering, hybrid search, and training on one Lance table.

pgvector brings open-source vector similarity search to Postgres so embeddings live next to your relational data.

ClickHouse is an open-source columnar OLAP database for real-time analytics at petabyte scale.

ShannonBase is a MySQL 8.4-compatible open-source HTAP database that adds an in-memory column store, vector search, and in-database ML to

Pinecone is a managed vector database and knowledge engine for RAG, semantic search, and agent retrieval.

Agentic AI research workflows that turn multi-source text into source-linked, audit-ready reports at enterprise scale.

Amazon SageMaker unifies data, analytics, and AI on AWS — build, train, and deploy ML models on fully managed infrastructure.

Open-source Microsoft Research RAG that builds a knowledge graph and community summaries from your documents, then queries them in four modes.

Zilliz Cloud: a fully managed vector database on Milvus for billion-scale AI search, RAG, and recommendations.

Apache 2.0 search infrastructure for AI that keeps vectors, indexes and metadata on cheap object storage.

Open-source Python framework that incrementally keeps AI agent context fresh by reprocessing only changed data.

Open-source in-process vector database from Alibaba — install one Python package, query millions of vectors in seconds.

Xberg is an open-source content intelligence engine that extracts 107 document, web, code, image and audio formats into clean Markdown,

Open-source context retrieval layer that syncs your apps and databases so AI agents query live business data in natural language.

TopK is a unified retrieval engine that runs multi-vector, dense, sparse, regex, and metadata-filtered search in one query, billed per unit of usage.

Open-source wire protocol suite that standardizes LLM, vector, graph, and embedding calls so you swap providers in config, not code

Generate privacy-safe synthetic data with MOSTLY AI's Apache v2 SDK and TabularARGN engine.

OpenAgents is an open-source language agent platform for data analysis, 200+ plugins and autonomous web browsing.

Chat2DB turns plain English into SQL across 40+ databases in an open-source AI SQL client that keeps query execution on your own machine.

Open-source, self-hosted agentic data assistant that connects to your databases, writes SQL and code, and runs analysis in sandboxes

Qdrant is an open-source vector search engine for filtered, hybrid vector search and RAG at scale.

Microsoft's open-source, code-first Python framework for building stateful, data-intensive conversational AI agents.