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MemSQL (SingleStore) - Database
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MemSQL (SingleStore)

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description MemSQL (SingleStore) Overview

SingleStore (formerly MemSQL) is a distributed database that combines the best of SQL and NoSQL worlds. It supports both transactional and analytical workloads, offering high performance and scalability. SingleStore's unique architecture allows it to handle complex queries and real-time analytics simultaneously. It's suitable for applications requiring both operational and analytical capabilities.

insights Ranking position

MemSQL (SingleStore) ranks #47 of 92 in the Database ranking, behind Couchbase, ahead of Enterprise Graph Database Management System (e.g., Neo4j Aura Enterprise).

balance MemSQL (SingleStore) Pros & Cons

thumb_up Pros
  • check Fast analytical query performance
  • check Handles transactional analytics together
  • check Scales across commodity hardware
  • check MySQL protocol compatibility
thumb_down Cons
  • close Higher licensing costs
  • close Incomplete MySQL compatibility
  • close Self-hosted backups are complex

help MemSQL (SingleStore) FAQ

Why was MemSQL renamed to SingleStore?

The company rebranded from MemSQL to SingleStore in 2019 to reflect the database's broader capabilities beyond just in-memory processing. The new name emphasizes its ability to unify transactional and analytical workloads in a single, distributed database.

What is the primary use case for SingleStore?

SingleStore is primarily used as a distributed, highly scalable SQL database designed for real-time analytics and heavy transactional workloads. It is popular for HTAP (Hybrid Transactional/Analytical Processing) applications that require lightning-fast queries on massive datasets.

Does SingleStore support NoSQL formats?

Yes, while it relies on SQL for querying, SingleStore's architecture supports storing and querying JSON documents. This allows it to function as a highly performant document store for developers who need the flexibility of NoSQL.

How does SingleStore achieve its performance?

SingleStore achieves high performance by using an in-memory, lock-free architecture combined with extreme data parallelization. It compiles SQL queries into machine code to execute complex analytical queries at incredibly fast speeds.

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