Postgres for time-series, real-time analytics, events, and agentic applications.
TimescaleDB, now under the TigerData umbrella, is a specialized open-source relational database built as an extension for PostgreSQL. It is engineered to handle the unique challenges of time-series data, offering high-performance ingestion and complex query capabilities that standard relational databases often struggle with. By leveraging the familiarity and robustness of PostgreSQL, TimescaleDB provides a powerful yet accessible solution for developers and organizations.
The platform extends PostgreSQL's capabilities with features like automatic partitioning, advanced compression, and continuous aggregates, making it highly efficient for storing and analyzing time-stamped data from various sources such as IoT devices, financial markets, and application logs. With the introduction of 'Agentic Postgres,' it's also evolving to support the specific data needs of AI agents and intelligent applications, positioning itself as a versatile data platform for modern, data-intensive workloads.
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