SingleStore

SingleStore (formerly MemSQL) is a distributed, MySQL-wire-compatible SQL database that handles transactional, analytical and vector-search workloads in one engine, available as managed cloud (Helios) or self-managed/BYOC deployments.

DatabasesSelf-hosted
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Published Updated

CategoryDatabases
AccessSelf-hosted
PricingFreemium
APIAvailable
Overview

What is SingleStore?

SingleStore is a distributed relational database, originally launched as MemSQL in 2011 and rebranded in 2020. It combines row and column storage so transactional and analytical queries can run against the same tables, and it supports vector indexing and full-text search for AI application workloads. It is wire-compatible with MySQL and, more recently, MongoDB-style document queries. It is not itself an open-source project, though it publishes open-source client libraries and tools under the singlestore-labs GitHub organization.

Read the full overview

Sources checked 27 September 2026: official website, documentation, pricing.

Why teams use it

Key capabilities

  • Unified engine: transactional and analytical (HTAP) queries against the same data, plus vector and full-text search.
  • Compatibility: MySQL wire protocol, so many existing drivers and BI tools connect without changes.
  • Deployment: Helios managed cloud (with a free single-workspace tier and usage-based pricing) or self-managed/BYOC for teams that must control infrastructure.
Core areas

Real-time analytics, high-throughput transactional workloads, and vector search for AI/RAG applications are the product's core areas. Validate query patterns, expected concurrency and migration effort from an existing OLTP or warehouse stack before committing.

Positioning

Shortlist SingleStore when a team wants to avoid stitching together a separate OLTP database, an analytical warehouse and a vector store for one application. It fits real-time analytics and AI-search use cases built on existing MySQL-oriented tooling; teams with no HTAP or vector requirement will find simpler, cheaper single-purpose databases sufficient.

Why it matters

Consolidating transactional, analytical and vector workloads into one database can cut pipeline complexity, but it also concentrates risk in a single system. Pilot with a real workload and compare the all-in cost against a specialized-database stack before switching.

Deployment & technical details

Technical details

Access
Self-hosted
Source model
Other license
Founded
2011
Headquarters
San Francisco, USA
Pricing model
Freemium
API
Available
Check with the publisher

Official resources

Before you shortlist

What to verify for your environment

Start from the users, systems and operating responsibilities the tool needs to support.

  • Confirm current features, licensing and support terms with the publisher.
  • Validate deployment, data location, access control, backup and recovery requirements.
  • Test integrations, export paths and a representative operational workflow before committing.
Community experience

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