Tiger Cloud

Production Postgres That Doesn't Break

From the Creator of TimescaleDB, fully-managed, highly available, at petabyte scale

Trusted by

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

GOLD PARTNER WITHINDUCTIVE AUTOMATION

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

// 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.

Read the Fluid Storage Deep Dive

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.
Explore search on Postgres

[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 lakehouse

Connectors

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.

View integrations

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 Scale

Enterprise Trust

Contractual uptime SLAs, regional data isolation, and enterprise-ready compliance certifications.

I'm interested in production support

Start building or migrate today