SingleStore Pricing

“It can scale significantly, although its in-memory usage does mean the cost of scaling to data size is higher, so I believe for very large data sets (double-triple digit TBs) where less performance... … Vertica, Snowflake, SQL Server, Azure Data Warehouse, PowerBI, Aerospike, etc.

From what I've seen MemSQL is well worth the cost when latency and data freshness needs are high, i.e. you need a...”

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When data scales up, the cost of maintaining a big cluster with memory keep increasing (both the infrastructure cost and licensing cost) becomes high.”

“SSO integration was initially challenging - they are already improving this Cost - each tier literally doubles in price.”

“No engineering overhead for maintaining the db so no makes up for the price in a way We are able to provide better analytics to our customers - providing more value.”

“Budget-Constrained Projects - Not the best fit for projects with limited funding due to its cost structure.
2.”

“The problem is that when there's a need to support more than a few TBs the price is very expensive and therefore it will be harder to use for applications in production when sub-second (less than...”

“Integrating the pipelines and the DB engine simplifies the solution architecture, which means less infrastructure is needed, less license cost, and shorter development cycle.”

“Lower price plans for their paid solution A longer period of time to use the free credits More Node support within self-managed.”

“For our use case we have tens of schemas on each cluster, each has 16/60/120 DB partitions, which made the upgrade much more expensive than we thought, storage wise.”

“We found SingleStore to have better performance and to be much less expensive.”

“However you still have to provision big clusters, which sometimes it's more expensive than having traditional technologies and it's difficult to create business cases for our customers Time.”