TimescaleDB

TimescaleDB is an open-source time-series SQL database optimized for fast ingest and complex queries. It's built as a PostgreSQL extension and offers automatic partitioning across time and space, making it ideal for handling large-scale time-series data.

PostgreSQL ++ for time series and events

Engineered to handle demanding workloads, like time series, vector, events, and analytics data. Built on PostgreSQL, with expert support at no extra charge.

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Key Features

• Scalability: Automatic partitioning of data across time and space ensures efficient data management, even as datasets grow.
• Full SQL Support: Enjoy the full capabilities of SQL for querying and managing data without learning a new query language.
• Real-Time Aggregation: Provides real-time insights into data with continuous aggregates and hyperfunctions.
• Compression: Offers significant storage savings through advanced columnar compression techniques.
• High Availability: Ensures data reliability with built-in replication and failover capabilities.
• Data Retention Policies: Easily manage data lifecycle with automated policies for downsampling and retention.
• Seamless Upgrades: Upgrade your database without downtime or performance hits.
• Broad Ecosystem: Integrates with the vast ecosystem of PostgreSQL tools, extensions, and resources.
• Managed Service Option: Timescale Cloud offers a fully-managed service for those preferring not to administer their own database instance.
• Vibrant Community: Join an active community with forums, Slack channels, and extensive documentation to help you succeed with TimescaleDB.

TimescaleDB Screenshots

Suggested Developer Use Cases

• Data Analytics Platforms: Integrate TimescaleDB to manage large volumes of analytics data for business intelligence tools, providing faster insights with less overhead.
• IOT Systems: Use TimescaleDB to store and analyze sensor data from IoT devices, leveraging its time-series optimization for real-time monitoring and reporting.
• Fintech Applications: Incorporate TimescaleDB into fintech solutions to handle high-frequency trading data, ensuring robust performance during peak demand.