The Fastest Real-Time Analytics in Postgres
Run real-time queries and updates with a row-columnar engine built for speed.
The proof is in production.
This is real-life scale on a single Tiger Cloud service.
250T+
data points stored
1T+
metrics ingested daily
1PB+
of data volume
I’m using TigerData because it’s the same as PostgreSQL, but magically faster.
Co-founder at Nocodelytics
Test Real-Time Analytics Performance Yourself
Specialized databases might give you speed and scale — but they struggle with joins, mutability, and ACID guarantees.
TigerData gives you it all: blazing fast real-time analytics, high scale, and full SQL — built on PostgreSQL and ready to power your applications.
That’s why we created : a benchmark for real-time analytics as it happens in real apps — not just simplified, denormalized workloads.
Filter fast. Scan less. Execute in parallel.
TigerData filters out irrelevant data before the query even begins—eliminating time-based partitions and using metadata to skip over large blocks of data.
The rowstore handles high-ingest and point queries with speed, while the columnstore powers fast, parallel scans over compressed columnar data.
With vectorized execution and SIMD acceleration, even complex queries return in an instant.
