Sub-second analytical queries.
Real-time OLAP engine for sub-second analytics on streaming and batch data. Columnar storage with materialized views.
< 100 ms
Latency
100K+
QPS
Real-time
Data
Columnar
Storage
Analytics, real-time.
Sub-100ms. 100K QPS. Streaming ingest.
Sub-100ms queries
P99 query latency under 100ms.
100K+ QPS
Handle 100K+ concurrent analytical queries.
Real-time ingest
Sub-second data freshness from streams.
Materialized views
Pre-computed aggregations for instant results.
SQL interface
Standard SQL with JOIN, GROUP BY, and windows.
Multi-dimensional
Flexible dimensions and metrics modeling.
Getting started
Launch your first instance in three steps. CLI, console, or API โ your choice.
ur data olap create dashboard-engine \
--source=kafka:events \
--dimensions=region,product,dateOLAP patterns.
Real-time dashboards and ad tech.
Suggested configuration
< 100ms ยท 100K QPS ยท Real-time
Estimate your costs
Create detailed configurations to see exactly how much your architecture will cost. Pay for what you use, down to the second.
Configuration 1
OLAP Engine
Node Resources
Data & Backups
Plan & Commitment
Cost details
Sub-second analytics on petabyte-scale data.
Works seamlessly with
Frequently asked questions
Analytics, real-time.
Sub-100ms. 100K QPS. Streaming ingest.