Speed without sacrifice for time-series workloads.
Data points stored
Of data volume
Metrics per day
This is real-life scale on a single Tiger Data service.
Automatic partitioning
Time- and key-based partitioning for fast reads and writes.
Automatic partitioningOil & Gas
Flowco
Tiger Data has freed up time for my team to focus on other objectives. It has increased our velocity to ship our roadmap faster. We are realizing 66% monthly cost savings.
Matt Owens, Principal Software Engineer, Flowco
Manufacturing
Pfiefer & Langen
We finally unified our real-time and historical data. Now we seamlessly stream from TimescaleDB into Iceberg, giving our analysts the power to explore, model, and act on data across S3, Athena, and Tiger Data.
Maxwell Carritt, Lead IoT Engineer, Pfiefer & Langen
Telecommunications
Speedcast
We stitched together Kafka, Flink, and custom code to stream data from Postgres to Iceberg. It worked, but it was fragile and high-maintenance. Tiger Lake replaces all of that with native infrastructure. It’s the architecture we wish we had from day one.
Kevin Otten, Director of Technical Architecture, Speedcast
Utilities
Axpo
Before we used Tiger Data, we had our data in MSSQL. We connected 2 power plants to our system, and after half a year, the databases were completely full and the whole system crashed. Now with Tiger Data, we connected more than 20 different systems to our database and the performance is still quite good.
Emanuel Joos, Lead Software Engineer, Axpo.
Use Tiger Data with your preferred cloud provider, and the wider Postgres ecosystem.
See all integrationsMeet security and operational requirements of production systems.
View securitySecure
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.