Creators of TimescaleDB
Built for industrial, energy, and robotics systems.
Real life scale of a single TimescaleDB Instance
3 TRILLION
METRICS PER DAY
1 QUADRILLION
DATA POINTS STORED
3 PETABYTES
DATA VOLUME
// primitives
The foundational capabilities that power fast ingest, efficient storage, and real-time analytics at scale.
Time- and key-based partitioning for fast reads and writes.
Row storage for writes, columnar storage for analytics, with compression.
Hot data on SSD, colder data on low-cost object storage.
Ingest from Kafka and S3, replicate to Iceberg.
200+ SQL functions for time-based analytics.
Postgres-native access via SQL, APIs, CLI, and UI.
Hybrid retrieval with keywords, vectors, filters, and ranking.
We observed significant speed-ups, from 10x to 40x, depending on the query, range, and data frequency.
science research
From cloud infrastructure to industrial automation, Tiger Data works where your data already lives.
Use Tiger Data with your preferred cloud provider, and the wider Postgres ecosystem.
Meet security and operational requirements of production systems.
Secure
Encryption at rest and in transit, private networking, and access controls.
Reliable
High availability, automated backups, and point-in-time recovery.
Compliant
SOC 2 Type II, GDPR support, and enterprise security standards.
