Apache Druid was originally developed to deliver real-time analytics capabilities for the ad tech industry. It’s inherently complex, requires both expertise and operational effort to maintain and demands manual tuning to achieve performance. Rockset, in contrast, is cloud native, fully managed, and delivers sub-second SQL out of the box.
Less Compute per Query
Rockset separates storage, ingest and query compute so you don’t need to overprovision resources for your workload. Furthermore, Rockset can save up to 100x on storage costs by using SQL-based rollups.
Faster Query Performance
Rockset is 1.12 times faster than Druid with the same hardware configuration based on results from the Star Schema Benchmark (SSB)
Faster Development Time
Rockset is cloud-native, saving your team from needing to manage clusters, nodes, shards and indexes. Furthermore, Rockset’s Converged Index enables ad-hoc analytics without performance tuning so teams realize real-time analytics 20x faster.
If you want flexible and easy real-time analytics, check out Rockset.
Here are four reasons why:
Creation of search, columnar and row indexes at ingest time
SQL search, aggregations and joins on semi-structured data
Efficient inserts, updates and deletes
Independent scaling of storage and compute in the cloud