A production-ready, modern PostgreSQL cloud

Timescale is the best time-series database: Powerful, fast, cost effective

Supercharged PostgreSQL

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

Trusted by great companies

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 scans across historical data

More than 100 built-in SQL hyperfunctions for faster 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

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

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

“Our queries are really fast, taking only 100 ms for a table with around 1.4 billion rows.“

Christian Halim, engineering manager at , one of Indonesia’s leading cryptocurrency trading platforms, how his team inserts 5 million data rows every 30 minutes, queries more than a billion data rows in 0.1 seconds, and automatically deletes a billion data rows per day.

Find the best time-series database for you

Timescale makes Postgres powerful, affordable, and worry free for time-series data.

Best-in-class PostgreSQL performance

Support provider

Timescale

Platform operator

Timescale

Automatic partitioning via hypertables for efficient indexes and faster ingest

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

Automated data management policies

Columnar storage format with fast scans

Native compression with 90%+ storage savings

Data retention policies

Scalability made easy

Disaggregated compute & storage

Capacity for 100s TB of uncompressed data

Dynamic compute resizing

High availability and reliability

Multi-AZ (availability zone) deployments for high availability

Continuous incremental backup and automated restore

Point-in-time recovery and branching

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

Robust security and compliance

SOC 2 Type 2 and GDPR compliance

Data encrypted at rest (both disk and backup)

Data encrypted in transit

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

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

	Self-managed TimescaleDB	Recommended Timescale Cloud (TSC)	Managed Service for TimescaleDB (MST) by Aiven

Support provider		Timescale	Timescale
Platform operator	You	Timescale	Aiven (partner)

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

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

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

Disaggregated compute & storage	Manual
Capacity for 100s TB of uncompressed data	Manual
Dynamic compute resizing
Dynamic disk storage with usage-based pricing
Dynamic I/O provisioning for high read / write performance	Manual
Tiered storage with low-cost infinite storage
Transparent queries across high-performance and low-cost tiers
Read replicas for read scaling	Manual
Connection pooling for connection scaling	Manual
Automated resource-aware parameter tuning
Terraform for infrastructure-as-code control

Multi-AZ (availability zone) deployments for high availability	Manual
Continuous incremental backup and automated restore	Manual
Point-in-time recovery and branching	Manual
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 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

SOC 2 Type 2 and GDPR compliance	N/A
Data encrypted at rest (both disk and backup)	Manual
Data encrypted in transit	Manual
Database SSL with fully verifiable certificate chains
Database role-based access control
Multi-factor authentication	N/A
Corporate SSO and SAML support	N/A
Secure networking including VPC Peering	N/A
Layered database "privilege escalation" protections
Secure SDLC practices, automated vulnerability scanning and code analysis, and third-party pen testing

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	N/A

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 for time-series workloads?

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