turbopuffer alternatives: 6 tools compared (October 2026)

Weaviate is an open-source vector database from Amsterdam that stores objects together with their vectors. Teams use it for semantic and hybrid search, retrieval-augmented generation and agent workflows, self-hosted or in Weaviate Cloud.

Key functions

• Semantic and hybrid search across objects and vectors
• Hosted embedding models billed per million tokens
• Query Agent turns natural-language questions into database operations

Compared with turbopuffer

• Has a free plan; turbopuffer does not.
• Targets companies under 50 employees, which turbopuffer does not.
• States no EU hosting option; turbopuffer has one.
• Starts higher: from $45 per month, turbopuffer from $16 per month.

Check before buying: Check which regions your plan offers, since Flex is limited to a smaller set of regions than Premium. SSO, SAML and HIPAA compliance are listed for the Premium tiers only. Vector dimension prices vary by provider, region and compression, so use the cost module in the console before committing. Request the data processing agreement from Weaviate B.V.

Zilliz offers Zilliz Cloud, a managed vector database built on the open-source Milvus engine. Development teams use it to store embeddings and run similarity, keyword and hybrid search behind RAG applications, recommendations and semantic search, on AWS, Google Cloud or Azure.

Key functions

• Vector, filtered, full-text and hybrid search with reranking for RAG and semantic search
• Three cluster types for real-time serving, large datasets or low-cost tiered storage
• On-demand compute for search and indexing jobs on external data in a data lake (public preview)

Compared with turbopuffer

• Has a free plan; turbopuffer does not.
• Starts higher: from $197 per month, turbopuffer from $16 per month.
• Strongest elsewhere: United States.

Check before buying: Check cost drivers early: Dedicated clusters price by cluster type and vector count, Serverless by usage, so model your data volume with the vendor's calculator. SSO, audit logs and private endpoints start with the Enterprise plan, and the vendor lists HIPAA readiness under Business Critical. US privacy rules for stored personal data, such as state laws and HIPAA, remain the buyer's task. The vendor publishes a sub-processor list in its trust center.

Chroma is an open-source embedding database for building retrieval into AI applications. Developers add documents, and Chroma embeds, indexes and searches them through a small API, locally or in the managed Chroma Cloud.

Key functions

• Handles tokenization, embedding and indexing when documents are added
• Similarity queries with filters on metadata and document content
• Chroma Cloud with serverless vector, hybrid and full-text search

Compared with turbopuffer

• Has a free plan; turbopuffer does not.
• Targets companies under 50 employees, which turbopuffer does not.
• Strongest elsewhere: United States.

Check before buying: If you self-host, plan persistence, backups and upgrades yourself, since the project releases new versions weekly. For Chroma Cloud, choose the EU region when data must stay in Europe and check the usage-based costs for writes, storage and queries. SOC 2 is listed for the Team plan, and single-tenant or BYOC clusters require Enterprise. Chroma publishes a data processing addendum and a sub-processor list for its cloud service.

BGE-M3 is an open embedding model for search and retrieval-augmented generation (RAG) that supports more than 100 languages and three retrieval methods, widely used as a building block for company knowledge search.

Key functions

• Dense, sparse and multi-vector retrieval in one model
• More than 100 languages
• Inputs of up to 8,192 tokens

Compared with turbopuffer

• Has a free plan; turbopuffer does not.
• Targets companies under 50 employees, which turbopuffer does not.
• Strongest elsewhere: China.

Check before buying: Self-hosting means your team runs, secures and updates the model, including GPU capacity, monitoring and patching. Check the license terms for commercial use and keep a record of which version you deploy. If outputs feed decisions about people, a human must stay in the loop. Changing the embedding model later means re-embedding all documents, so test retrieval quality on your own data first.

LanceDB is an open-source, embedded retrieval library and database for multimodal AI data. It stores vectors together with text, images and video in the Lance columnar format and runs locally or in the cloud without a separate server.

Key functions

• Vector search over very large datasets with GPU-assisted index building
• Full-text and SQL search next to vector search
• Stores vectors with images, video and other raw data, with automatic versioning

Compared with turbopuffer

• Has a free plan; turbopuffer does not.
• Targets companies under 50 employees, which turbopuffer does not.
• Strongest elsewhere: United States.

Check before buying: Decide whether the embedded open-source library fits, or whether you need LanceDB Cloud or Enterprise for managed operation; prices for these are available on request. If you store data on your own object storage, backups and access control stay with you. The Apache 2.0 license allows commercial use.

pgvector adds vector similarity search to PostgreSQL. Teams that already run Postgres can store embeddings in the same tables as their business data and query them with SQL, without adding a separate vector database.

Key functions

• Exact and approximate nearest-neighbor search over embeddings
• Single-precision, half-precision, binary and sparse vectors
• Distance metrics such as cosine, L2 and inner product directly in SQL

Compared with turbopuffer

• Has a free plan; turbopuffer does not.
• Targets companies under 50 employees, which turbopuffer does not.

Check before buying: Check that your Postgres version and hosting provider support the pgvector release you need. Very large vector collections can need index tuning and memory planning that a dedicated vector database handles differently. pgvector is published under the permissive PostgreSQL License; plan who maintains the extension in self-managed databases.