See how SingleStore stacks up against other leading databases

Built for fast ingest, high concurrency, low latency queries to help you transact, analyze and contextualize data in real time. Available in the cloud, on Kubernetes or on-premises.

Document-oriented database that stores your records as key-value pairs.

Relational DBMS

Non-relational or NoSQL

SingleStore Helios

MongoDB Atlas

Multi-model: SQL for CRUD; Support for vector search, full text, time-series and geospatial data. SingleStore Kai™ for MongoDB® achieves 100x-1,000x faster analytics for MongoDB apps.

Document-oriented NoSQL model lacks the relational set of capabilities required for analytics

100x faster analytics with no query or application changes

Data typically needs to be moved to another database for analytics, which can be costly and time-consuming. It also requires writing queries in a different language.

Scale-out architecture efficiently and quickly responds to growing workloads leveraging commodity hardware — without add-ons or specialized tuning expertise.

Offers secondary indexes; however,the indexes don't scale with sharding and the system is suboptimal at loading large amounts of random data, as the underlying file format is not truly efficient.

Transparent pricing model with a simple, single-product subscription for all of your workloads which is easy to manage and patch, and delivers maximum performance on a familiar SQL data model at a reasonable cost

Additional costs for OLAP database and ETL tooling required to prepare and move data for analytics and machine learning use cases.