TigerData is

Postgres
made Powerful

More than 3.2M active TigerData databases power apps across IoT, crypto, dev tools, and finance—all built on PostgreSQL. We use PostgreSQL for everything; we built our cloud so you can too.

Relational

For , TigerData provides dynamically scalable compute and more memory even at the base. Plus you only pay for what you store.

Time series & analytics

For that ingest and query high volumes of data, TigerData queries up to 350x faster, ingests 44% faster, and saves 95% storage over RDS.

Vector / AI

For that need fast search with high recall on millions of vector embeddings, TigerData offers a vector engine.

Trusted by great companies

Supercharged PostgreSQL

  • Automated dynamic data partitioning
  • Hybrid row-columnar storage
  • Advanced compression techniques
  • Incremental up-to-date materializations
  • Policy-driven data management

TigerData vs vanilla PostgreSQL

Powerful enough for real-time time-series, events, and analytics data

  • TigerData runs 1,000x faster queries
  • TigerData reduces storage utilization & costs by 90%
  • TigerData was designed to store & analyze real-time data

High-performance data analysis

  • Millions of data points per second
  • Up to 1,000x better query performance compared to vanilla PostgreSQL
  • Millisecond response times for complex aggregate queries
  • Fast scams acrpss jostproca; data
  • More than 100 built-in SQL hyperfunctions for faster data analysis
High-performance data analysis

Infinitely scalable

  • Dynamically scale compute and storage independently, only paying for what you use
  • Scale query capacity with read replicas and connection pools
  • Store infinite data by with transparent data tiering
  • Easily store 100s of TBs across data tiers, and still query as standard SQL tables
Infinitely scalable

Cost-effective and flexibly priced

  • Save money with high compression rates—customers see up to 95% compression
  • Only pay for what you store with usage-based storage
  • Custom storage optimizations for time-series data and analytics
  • Automated data retention policies and continuous aggregations
  • Simplified billing, without hidden data transfer, cost-per-query, cost-per-data-scanned or backup charges
Cost-effective and flexibly priced

Worry free

  • Everything you love about PostgreSQL—excellent dev experience and a rich ecosystem of database extensions, tools, and connectors
  • Continuous incremental backup/recovery, point-in-time forking/branching, zero-downtime upgrades, and multi-AZ high availability
  • No more running out of storage space, managing disk allocations, or getting stuck in the wrong CPU/memory configuration
  • Top-notch consultative support to unblock any hurdles—at no extra cost
Worry free

“The best feature of TimescaleDB: it's all PostgreSQL, always has been. All your tools, all the existing libraries, and your code already work with it. I’m using TimescaleDB because it’s the same as PostgreSQL but magically faster.“

Florian Herrengt, co-founder, Nocodelytics

Find the best PostgreSQL database service for you

TigerData makes Postgres powerful with fast and affordable database features and worry-free cloud services.

Best-in-class PostgreSQL performance

Automatic partitioning via hypertables for efficient indexes and faster ingest

Automatic materialized data aggregations for real-time dashboards and APIs

Faster analytical queries through time/partition-oriented constraint exclusion

Faster limit and distinct queries via ordered appends, skip scans, and other custom planner optimizations

Accelerated scans via segmented columnar storage

Vectorized query execution via SIMD for faster queries

Specialized vector indexes for AI applications

Flexible analysis with Full SQL

Full ecosystem of PostgreSQL features, connectors, and drivers

JOIN time-series and event tables with relational tables

Rich timestamp and timezone support

Flexible time bucketing for time-oriented analysis

Hyperfunctions, including advanced interpolation, approximation, and visualization functions

Geospatial and vector data types

Automated data management policies

Columnar storage format with fast scans

Native compression with 90%+ storage savings

Data retention policies

Data tiering policies

Data reordering for efficient disk scans

Data downsampling for efficient historical analysis

Background job scheduler and user-defined actions

Scalability made easy

Disaggregated compute & storage

Capacity for 100s TB of uncompressed data

Dynamic compute resizing

Dynamic disk storage with usage-based pricing

Dynamic I/O provisioning for high read / write performance

Tiered storage with low-cost infinite storage

Transparent queries across high-performance and low-cost tiers

Read replicas for read scaling

Connection pooling for connection scaling

Automated resource-aware parameter tuning

Terraform for infrastructure-as-code control

High availability and reliability

Multi-AZ (availability zone) deployments for high availability

Continuous incremental backup and automated restore

Point-in-time recovery and branching

Regular database and disk snapshots to enable fast restore

Rapid recovery for all services by fast database restart and remote disk remount

Unique memory guard protections to avoid database out-of-memory crashes

Decoupled control and data planes for greater resilience

Commercial service level agreements (SLAs)

Automated upgrades and software patching

Automated upgrades during configurable maintenance windows to reduce the risk of security vulnerabilities and ensure up-to-date database services

Zero-downtime TimescaleDB and PostgreSQL minor upgrades

PostgreSQL major version upgrades use a forking workflow and disk snapshots to minimize downtime and risk

HA-replica-aware coordinated upgrades

Fleet-wide version and stability monitoring with staged roll-out/roll-back upgrades

Robust security and compliance

SOC 2 Type 2 and GDPR compliance

Data encrypted at rest (both disk and backup)

Data encrypted in transit

Database SSL with fully verifiable certificate chains

Database role-based access control

Multi-factor authentication

Corporate SSO and SAML support

Secure networking including VPC Peering

Layered database "privilege escalation" protections

Secure SDLC practices, automated vulnerability scanning and code analysis, and third-party pen testing

Deep observability

Operational visibility into your databases to understand performance, uncover regressions, and optimize performance

Insights for automated query summaries and statistics

Per-query drill downs into execution times, row results, plans, memory buffer management, and cache performance

In-console metric visualization and system logs

Native metrics and log exporters to AWS Cloudwatch and DataDog

Top-notch support and operations

Follow-the-sun 24x7 support model staffed across APAC, EMEA, and NASA

Production support with Severity 1 responsiveness

Architectural reviews, data modeling and query optimization assistance, feature testing, and migration support

On-call 24x7 operational monitoring and control

Customer Satisfaction (CSAT) scores regularly above 98%

Ready to experience PostgreSQL made powerful and worry free?

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