PostgreSQL ++ for time series and events | Timescale
Engineered to handle demanding workloads, like time series, vector, events, and analytics data. Built on PostgreSQL, with expert support at no extra charge.
Timescale is a cloud-native time-series database engineered to handle the demanding workloads of modern applications. It is built on PostgreSQL, offering the reliability and flexibility of the world's most advanced open-source relational database, combined with the scalability and performance needed for time-series data. Timescale is designed for developers and businesses that require fast, efficient, and scalable data storage and analysis for time-series data, such as IoT, monitoring, and event data.
135000
4500 / day
150000
5000 / day
00:03:45
2.8 page per visit
40%
-
Domain Rating
-
Domain Authority
-
Citation Level
2015
English, etc
Key Features of the Site
Hypertables
Automatically partitions time-series data across time and space for improved performance and scalability.
Continuous Aggregates
Pre-computes and stores aggregate data to speed up queries on large datasets.
Data Retention Policies
Automatically drops old data based on user-defined policies to manage storage efficiently.
Full SQL Support
Leverages the full power of SQL for querying time-series data, including joins, window functions, and more.
High Availability
Ensures data is always available with built-in replication and failover capabilities.
Scalability
Easily scales out to handle increasing data volumes and query loads.
Security
Provides robust security features, including encryption at rest and in transit, and role-based access control.
Integration
Seamlessly integrates with popular tools and platforms, including Grafana, Prometheus, and more.
Time-Series Functions
Offers specialized functions for time-series data analysis, such as time_bucket and first/last.
Open Source
TimescaleDB, the core database engine, is open source, allowing for community contributions and transparency.
Additional information
Headquarters
New York, USA
Founders
Michael J. Freedman, Ajay Kulkarni, and others
Website
https://www.timescale.com
Community
Timescale has a vibrant community of developers and users, with active forums, Slack channels, and meetups.
Documentation
Comprehensive documentation is available for users to get started with Timescale, including tutorials, API references, and best practices.
Pricing
Timescale offers a variety of pricing plans, including a free tier for small projects and startups, and enterprise plans for large-scale deployments.
Awards
Timescale has received numerous awards and recognitions for its innovative approach to time-series data management.
HTTP headers
Security headers report is a very important part of user data protection. Learn more about http headers for timescale.com