Summary:
Tiger Data adds petabyte scale support
Why It Matters:
The product is moving away from general AI messaging to focus on high-volume data handling. This targets large enterprise users who need to manage massive amounts of sensor and telemetry data.
What Changed:
- The main headline changed from "PostgreSQL for Time Series & AI" to "Time-Series PostgreSQL at Petabyte Scale."
- Added specific scale metrics: 1 quadrillion data points, 3 petabytes of volume, and 3 trillion metrics per day.
- Updated the hero section to target specific data types: live telemetry, sensor, event, and tick data.
- Replaced general case studies with industry-specific examples from Oil & Gas, Manufacturing, and Telecommunications.
- Added "Lakehouse integration" as a core feature, highlighting support for Kafka, S3, and Apache Iceberg.
- Changed "Start for free" buttons to "Start a free trial" and "Contact sales."