Alternatives to Databend

Apache Doris: an open-source real-time SQL database that unifies OLAP analytics, full-text search, and vector search in one engine.

Open-source search infrastructure for AI that keeps vectors, metadata and indexes on cheap object storage.

Open-source distributed SQL database unifying transactions, HTAP analytics, and native vector search for AI agents.

Vespa AI is an open-source, distributed search and serving engine that runs vector, text, and structured retrieval with machine-learned ranking in the same

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

Open-source vector database for billion-scale similarity search, hybrid retrieval, and RAG

Warehouse-native AI analytics runtime for governed apps, agents, and reporting on live cloud data.

Vespa is an open-source distributed search and AI platform that unifies vector, text, and structured retrieval with machine-learned ranking in one engine.

pgvector adds open-source vector similarity search to Postgres so you keep embeddings next to your relational data.

Fully managed vector lakebase for billion-scale AI search, RAG, and recommendations, built on open-source Milvus.

NodeDB fuses vector search, graph, document, columnar, key-value, full-text, sparse array, and CRDT into one universal database engine

AI-native spreadsheet and managed warehouse that turns your GTM data into trusted revenue answers

Open-source agentic data assistant: your LLM connects to databases, writes SQL and code, and runs analysis in sandboxes

AI-native data platform that folds ingestion, warehouse, BI, and AI agents into one private deployment in your own cloud.

In-memory graph database that supplies structured context to AI systems and runs real-time graph analytics on the same engine.

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.

AI-native graph database running vector similarity and OpenCypher traversal in one query for GraphRAG pipelines.

Open-source context retrieval layer that syncs your apps and databases and answers AI agent queries with grounded, real-time data.

Fully managed vector database and knowledge platform for AI retrieval, with Pinecone Nexus compiling enterprise data into governed knowledge for agent queries.

Multimodal retrieval platform that turns video, image, audio and document files in your own object storage into searchable, timestamped scenes.

Quadratic is an AI spreadsheet where the grid runs Python, SQL, JavaScript, and formulas against live data sources.

Warehouse-native CDP and agentic marketing platform that activates customer data across 300+ ad, CRM and lifecycle tools without copying it out of Snowflake or

Open-source RAG engine with built-in ETL, hybrid search and agentic retrieval for enterprise AI agents.

Chat2DB is an open-source AI SQL client that turns plain English into queries across 40+ database engines, with query execution kept on your machine.

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

Granica cuts data lake storage and compute costs and keeps long-running AI agents from losing their place — all inside your own cloud.

Open-source multimodal lakehouse that keeps curation, feature engineering, hybrid search, and training on one Lance table.

Open-source vector search engine in Rust for hybrid retrieval, metadata-filtered search, and AI agent memory — self-hosted or managed.

Excel-native FP&A software that turns data from 600+ sources into governed, AI-ready financials for mid-market finance teams