We Continue to be Impressed by the Speed of SingleStore
February 27, 2024

We Continue to be Impressed by the Speed of SingleStore

Jon Milsom | TrustRadius Reviewer
Score 10 out of 10
Vetted Review
Verified User

Overall Satisfaction with SingleStore

We use SingleStore to ingest, store, and process data from our hardware player trackers. The challenge is the amount of data (hundreds of millions of rows) and being able to query it quickly.
  • Fast ingest via Pipelines
  • Standard SQL syntax
  • Fast query times
  • The dashboard should show a list of recent backups (you have to run a query to get this information right now)
  • We could not run our application using a standard relational database, i.e. Product would not be feasible without SingleStore
  • Our developers already know SQL, so nothing new to learn, lower cognitive load for our team
SingleStore is the fastest database we have ever used. (We have experience with MySQL, PostgreSQL, and MongoDB).
We have not taken advantage of this as we only use SingleStore on a greenfield project. That said, we are using SingleStore ONLY as a database AND session store. We would normally operate a separate Redis (Elasticache) instance for session storage.
We knew early on that MySQL (Amazon Aurora) would not be suitable for this workload as it cannot query our time series data as fast as SingleStore. We also use MongoDB Atlas for another application but we could not achieve the raw speed we saw from SingleStore. Our technical staff have used SQL for many years, if we used MongoDB they would need to learn the MongoDB query and aggregation syntax.

Do you think SingleStore delivers good value for the price?

Yes

Are you happy with SingleStore's feature set?

Yes

Did SingleStore live up to sales and marketing promises?

Yes

Did implementation of SingleStore go as expected?

Yes

Would you buy SingleStore again?

Yes

SingleStore is well suited to handling tables with huge numbers of rows and being able to query these. It does its own thing with auto-incremented primary keys, so it may be difficult to migrate legacy MySQL applications with large numbers of tables.