Tiger Cloud
Production Postgres That Doesn't Break
From the Creator of TimescaleDB, fully-managed, highly available, at petabyte scale
Durability by the numbers
Durability by the numbers
99.9% uptime SLA
Monthly guarantee for HA Replicated services (Enterprise). Public SLA. Real-time status page.
110,000+ IOPS
Single-volume read throughput on Fluid Storage. 1.4 GB/s bandwidth. Synchronously replicated on every write.
Up to 14-day PITR
Point-in-time recovery via pgBackRest. Weekly full backups, daily incrementals, continuous WAL retention. Optional cross-region.
// Production-ready without the operational pain.
Scale TimescaleDB with performance you can trust
TimescaleDB hypertables turn any Postgres table into a table automatically partitioned by time or id for fast ingest and predictable queries at massive scale.
How it works
- Time/id partitioning; partition skipping at query planning time
- Efficient index-only scans; supports skip-scan patterns on composite indexes
Tiger Cloud Advantage
One-click hypertable creation; streaming from Kafka, S3 and other Postgres databases into hypertables; hypertable monitoring and exploration; partition size recommendations.
Learn more about Automatic PartitioningHow it works
- Time/id partitioning; partition skipping at query planning time
- Efficient index-only scans; supports skip-scan patterns on composite indexes
Tiger Cloud Advantage
One-click hypertable creation; streaming from Kafka, S3 and other Postgres databases into hypertables; hypertable monitoring and exploration; partition size recommendations.
Learn more about Automatic Partitioning// Coming soon
Fluid Storage
A storage layer Postgres never had. Your workloads will notice. Fluid Storage is a distributed block layer that gives Postgres capabilities it was never designed to have. More throughput, true elasticity, and no wasted storage at any scale.
No duplicated data
One copy of your data, replicated synchronously across block servers before every write is acknowledged. A single source of truth that is always consistent and always protected, without paying for mirrored volumes.
True elasticity
Volumes expand and contract automatically with your workload. No manual resizing, no cooldown windows, no paying for capacity you don't use. Storage scales to 128TB and beyond.
Local SSD cache
Frequently accessed data is served from local SSD, so your most demanding queries never wait on network round-trip. 400K+ IOPS without the high cost.
// native search
Search, built into Postgres
Run keyword, vector, and hybrid search where your data already lives in Tiger Cloud. No separate search service, no sync pipelines, and no extra infrastructure to manage.
- Keyword + semanticUse BM25, vectors, or both together in one database.
- Less to operateNo duplicated data, no ETL pipeline, no extra search cluster.
- Built for productionLower latency, lower complexity, and fewer moving parts from dev to scale.
[fig. 01]
Tiger Cloud Postgres
Application data
Keyword search (BM25)
Full-text search on transactional data.
Vector search
Store and query embeddings in Postgres.
Hybrid search
Combine keyword and vector results in one system.
Always in sync with your data sources
TimescaleDB is built in the open. Join thousands of developers, engineers, and data scientists pushing the boundaries of what's possible with PostgreSQL.
Tiger Lake
Tiger and your lakehouse always in sync so analytics and agents share one truth.
Sync your lakehouseConnectors
Stream data with SQL and keep Kafka, S3, and Tiger in sync without brittle pipelines.
See connectors in action[fig. 02]
One Platform, Every Layer
CUSTOMER FACING APPS, APIS, DASHBOARDS, AGENTS
INTERNAL REPORTING, ANALYTICS, ML TRAINING, AGENTS
OPERATIONAL DATABASE
LAKEHOUSE / WAREHOUSE
OPEN STORAGE (S3 TABLES + ICEBERG)
Plug into your tech stack
Use Tiger Data with your preferred cloud provider, and the wider Postgres ecosystem.
Enterprise-ready by default
Meet security and operational requirements of production systems.
24/7 Support
Round-the-clock coverage with global Postgres experts and guaranteed enterprise response times.
Run Postgres at ScaleEnterprise Trust
Contractual uptime SLAs, regional data isolation, and enterprise-ready compliance certifications.
I'm interested in production support