Timescale Cloud
High-performance PostgreSQL for time-series and analytics
Build better time-series applications faster, at a fraction of the cost
Perform at scale
- Write millions of data points per second.
- Up to 1000x faster time-series queries thanks to hypertables and query planner improvements.
- Millisecond response times for complex aggregate queries with continuous aggregates.
Keep costs under control
- 90% storage savings via best-in-class compression algorithms.
- Automatically store data at varying granularities to reduce storage footprint via data retention policies and continuous aggregations.
- More performance from less compute and storage resources, thanks to purpose-built optimizations for time-series and analytics workloads.
Build better applications faster
- More than 100 built-in SQL hyperfunctions for complex analytics in fewer lines of code, such as count approximations, statistical aggregates, and downsampling.
- Schedule background jobs in the database to automate common tasks, such as tracking billing or exporting data.
- Get world-class technical consultancy and support at no extra cost.
Focus on your application, not your database
- Automatic backups, upgrades, and failover.
- High availability in one click with multi AZ.
- Flexible scaling with independent compute and storage.
Relax. It’s just PostgreSQL.
- Built on a Postgres foundation— not a new database or a fork.
- 100% SQL, not “SQL-like”.
- All the reliability and dependability of Postgres with its entire ecosystem of tools and connectors.
“Timescale lets us manage our gigantic throughput of data in what appear at first to be simple, singular SQL tables. Because it's Postgres, there are no surprises in terms of how to query the data later and it's a lot easier to build new functionality on top of our core database layer than with similar products.”
Adam Inoue, Software Engineer at Messari
Read this Developer Q&A
“We decided to go ahead and install Timescale on our infrastructure since it’s built on top of PostgreSQL. We went from having to wait a couple of weeks to process a few dozens of terabytes to only 1-2 days. Timescale is a critical part of our ecosystem because it helps us provide fast and responsive services in real time”
Ezequiel Raynaudo, Zondax
Read this Developer Q&A
“One of the Timescale features that has had the most impact on our work is continuous aggregations. It changed our dashboards from sluggish to lightning fast. It used to take minutes to run some long-term data queries. Now, almost all queries for long-term data are subsecond.”
John Eskilsson, Edeva
Read this Developer Q&A
“Given CloudQuery uses PostgreSQL under the hood, supporting historical snapshots in a scalable way usually involves using partitioning. Timescale’s create_hypertables feature allows us to do just that in a simple and effective way giving our users a transparent and automated way to manage their data while still maintaining scalability.”
Ron Eliahu, CloudQuery
Read this Developer Q&A
“Less costs + performance >> “After implementing Timescale, our AWS cloud costs went down about 35% because it is cheaper to run than the AWS OpenSearch we used before. In addition, the query performance improved dramatically, a majority of queries take under 100ms to complete.”
Ken Ahrens, Speedscale
Read this Developer Q&A
“The greatest Timescale feature for us is the ability to automatically downsample data thanks to continuous aggregates.”
Julien Salinas, NLP Cloud
Read this Developer Q&A
Cloud Features
Time-series analytics
Automatic partitioning via hypertables
Built-in flexible time bucketing
Continuous aggregations
Advanced analytical functions
Full SQL
Join time-series and relational tables
Optimized time-based constraint exclusion
Full ecosystem of PostgreSQL plug-ins
Data lifecycle management
+90% storage reduction via compression
Automated data retention policies
Automated downsampling
User-defined actions
Automated data reordering on disk
Operational management
AWS, Microsoft Azure, Google Cloud Platform
Choice of 76 deployment options
Independent compute and storage
Up to 16TB
Storage autoscaling
Instant pause/resume
High availability via multi-AZ replicas
Database forking
Automated backup and recovery
Automated upgrades via maintenance windows
Metrics export via Datadog, CloudWatch
Highly-rated support team available for consultative advice
Security and Compliance
Role-based access control
Data encrypted at rest and in transit
Advanced network security - VPC peering, IP whitelisting
Data compliance
Multiple payment methods
Cloud Features
Time-series analytics
Automatic partitioning via hypertables
Built-in flexible time bucketing
Continuous aggregations
Advanced analytical functions
Full SQL
Join time-series and relational tables
Optimized time-based constraint exclusion
Full ecosystem of PostgreSQL plug-ins
Data lifecycle management
+90% storage reduction via compression
Automated data retention policies
Automated downsampling
User-defined actions
Automated data reordering on disk
Operational management
AWS, Microsoft Azure, Google Cloud Platform
Choice of 76 deployment options
Independent compute and storage
Up to 16TB
Storage autoscaling
Instant pause/resume
High availability via multi-AZ replicas
Database forking
Automated backup and recovery
Automated upgrades via maintenance windows
Metrics export via Datadog, CloudWatch
Highly-rated support team available for consultative advice
Security and Compliance
Role-based access control
Data encrypted at rest and in transit
Advanced network security - VPC peering, IP whitelisting
Data compliance
Multiple payment methods
