Snowflake was designed for batch analytics, which is too slow and expensive for modern data apps. Rockset, in contrast, is built for real-time analytics: sub-second analytics on real-time data, without the need for additional ETL tools.
Faster Query Performance
Rockset delivers sub-second query latency by automatically indexing all your data in multiple ways. Snowflake relies on time-consuming scans and has significant query planning overhead that adds 100ms of latency to each query.
Lower Cost Per Query
For low latency, high concurrency data apps, cost per query matters more than cost per GB as your app scales. Rockset enables compute-efficient analytics by using indexes instead of scans.
Lower Data Latency
Snowflake loads data in “micro-batches” via Snowpipe, making it available to users within minutes. Rockset has native, built-in data connectors that ensure data can be queried within 2 seconds of being generated.
As you modernize your data stack to build more data applications, use Rockset to increase analytics speed and decrease costs.
Here are four reasons to use Rockset for real-time analytics:
Reduce cost to query by 65%
Increase query speeds by 135%
Reduce data latency to one second
100% serverless and built in the cloud