SingleStore is a hybrid transactions/analytics processing (HTAP) database. In order to support both use cases, it makes compromises that hinder performance, ease of use and cost. Rockset, on the other hand, is purpose-built for real-time analytics in the cloud. With both compute-storage and compute-compute separation for real-time analytics, it achieves unmatched price performance.
Introducing Vector Search on Rockset: How to run semantic search with OpenAI and Rockset
Introducing Compute-Compute Separation for Real-Time Analytics
CTO Talk: Comparing Elasticsearch and Rockset Streaming Ingest and Query Performance
Rockset Beats ClickHouse and Druid on the Star Schema Benchmark (SSB)
Can I Do SQL-Style Joins in Elasticsearch?
Updates, Inserts, Deletes: Comparing Elasticsearch and Rockset for Real-Time Data Ingest
Rockset is purpose built for real-time analytics in the cloud, offering unparalleled speed and efficiency.
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-compute and compute-compute