SingleStore vs Turbopuffer: Vector Databases Comparison
Compare SingleStore and Turbopuffer side by side. Both are tools in the Vector Databases category.
The short answer
Choose SingleStore if unified platform combining transactional, analytical, and vector workloads.
Choose Turbopuffer if up to 100x cost reduction compared to traditional vector databases.
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Quick Comparison
| Category | Vector Databases | Vector Databases |
| Website | singlestore.com | turbopuffer.com |
Pros & Cons: SingleStore vs Turbopuffer
- +Unified platform combining transactional, analytical, and vector workloads
- +Co-located vector data with relational data for powerful SQL queries
- +Multiple vector index types (FLAT, IVF_FLAT, IVF_PQ, HNSW_FLAT, HNSW_PQ)
- +MySQL and MongoDB wire protocol compatibility for easy integration
- +Proven at scale with 100+ Fortune 500 customers
- −More complex than dedicated vector databases for pure vector search use cases
- −Pricing not transparently published
- −May have higher learning curve for teams unfamiliar with distributed SQL
- −Recent acquisition may lead to product changes
- +Up to 100x cost reduction compared to traditional vector databases
- +Sub-10ms p50 latency with serverless auto-scaling
- +No namespace limits unlike competitors
- +Enterprise compliance (HIPAA, SOC 2, CMEK) on standard plan
- +Trusted by major companies: Notion, Cursor, Linear, PlayerZero
- −$64/month minimum spend makes it less suitable for small experiments
- −Relatively new platform with smaller community
- −Limited documentation compared to more established solutions
- −Object storage architecture may have latency trade-offs for some use cases
How to Choose a Vector Databases Tool
Key criteria to evaluate when comparing Vector Databases solutions:
About SingleStore
SingleStore is a real-time, unified, distributed SQL database that combines transactional, analytical, and vector data workloads in a single platform. MySQL and MongoDB wire protocol-compatible, SingleStore enables organizations to scale from one to one million customers, handling SQL, JSON, full text, and vector workloads all in one unified platform. Unlike traditional vector databases, SingleStore stores vector data in relational tables alongside other types of data, allowing easy querying of extended metadata and other attributes with the full power of SQL. The system supports both semantic search using FLAT, IVF_FLAT, IVF_PQ, IVF_PQFS, HNSW_FLAT, and HNSW_PQ vector indexes, with dot product and Euclidean distance for similarity matching. Founded in 2011 and headquartered in San Francisco, SingleStore serves hundreds of customers including 100+ Fortune 500, Forbes Global 2000, and Inc. 5000 brands. The company was acquired by Vector Capital in September 2025.
About Turbopuffer
Turbopuffer is a serverless vector and full-text search database trusted by leading companies including Notion, Cursor, Linear, and PlayerZero. Founded in 2023 by ex-Shopify engineers Simon Eskildsen and team, Turbopuffer reached $1 million in ARR within a year of launch and now operates profitably with only 22 employees while powering billions of vectors. The platform features serverless architecture with automatic scaling, sub-10ms p50 latency, support for billions of vectors, full-text search, hybrid search, and metadata filtering. TurboPuffer achieves up to 100x cost reduction compared to traditional vector databases by storing data on object storage like S3 at $0.02 per GB instead of in-memory at $2+ per GB. Turbopuffer has no enforced namespace limits and includes enterprise-grade compliance features like HIPAA BAA, SOC 2, and CMEK even on the non-enterprise plan. Query prices have been reduced by up to 94%, making it 10x-100x cheaper than alternatives with usage-based pricing.
What is Vector Databases?
Purpose-built databases for storing, indexing, and querying high-dimensional vector embeddings used in semantic search, RAG, and recommendation systems.
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