TigerData
Time-series PostgreSQL database for high-volume sensor and machine data at petabyte scale.
| What is it | Time-series PostgreSQL database for high-volume sensor and machine data at petabyte scale. |
|---|---|
| Pricing | Paid |
| Free tier | No |
| Platform | Web Application |
| API | Yes |
| Works with | Claude AI |
| Best for | storing and querying sensor data from industrial equipment, monitoring energy grid metrics in real time |
| Domain registered | 2000 |
Data updated Aug. 1, 2026
What does TigerData do?
TigerData is a managed time-series database built on PostgreSQL, designed to handle massive volumes of sensor and machine data. It’s the same team behind TimescaleDB, and the service is purpose-built for industrial, energy, and robotics applications where data ingestion and query speed are critical. You get a standard Postgres interface — SQL, APIs, CLI, or UI — so there’s little learning curve if you already know the database.
The engine uses automatic time- and key-based partitioning to keep reads and writes fast, even at petabyte scale. A feature called Hypercore combines row storage for fast writes with columnar storage for analytics, plus built-in compression. Data can be tiered: hot data stays on SSD, while older data moves to cheap object storage. There’s also lakehouse integration — ingest from Kafka or S3, and replicate to Iceberg. More than 200 SQL functions are available specifically for time-series analysis, like downsampling, gap filling, and percentile calculations. You access everything through standard PostgreSQL clients, REST APIs, or the cloud console.
TigerData is best for teams that need to store and analyze high-frequency time-stamped data — think millions of readings per second from industrial sensors, energy meters, or robot controllers. It’s used by companies like Fluke, Flowco, and Axpo for infrastructure monitoring, grid analytics, and operational dashboards. If you already use Postgres and need to scale time-series workloads without switching to a proprietary system, this is a practical option.
Key features
What makes it stand outWho is TigerData for?
Who benefits most from this toolPricing
Performance
- 4 database services
- Up to 8 CPU and 32 GB memory per service
- Up to 16 TB disk storage per service
- Up to 5K IOPS, 250 MB/s throughput
- 1 VPC
- 1 IP Allow-list
- Single-node high-availability replicas
- Point-in-time-recovery to 3 days
- Performance Insights
- Basic support (9-5 ET)
Scale
Everything in Performance, plus:
- Unlimited database services
- Up to 32 CPU and 128 GB memory per service
- Up to 64 TB disk storage per service
- Up to 40K IOPS, 1,500 MB/s throughput
- Unlimited Tiered Storage
- Horizontal read scaling with read replicas
- AWS Transit Gateway
- Private endpoints
- Unlimited VPC
- Unlimited IP Allow lists
- SOC 2 report
- Multi-node high-availability replicas
- Point-in-time-recovery to 14 days
- Integrations with observability tools
Enterprise
Everything in Scale, plus:
- Up to 64 CPU and 256 GB memory per service
- Up to 64 TB disk storage per service
- Up to 80K IOPS, 2,000 MB/s throughput
- SAML Single-sign-on (SSO)
- HIPAA compliance
- Security questionnaire
- Cross-region backups for disaster recovery
- Enterprise SLAs
- Production support (24x7, 1 hour response time for Sev 1 issues)
- Integration and migration services
Trust & presence
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