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TimescaleDB
fully managed by OctaByte

TimescaleDB is an open-source database designed to make SQL scalable for time-series data. It is engineered up from PostgreSQL and packaged as a PostgreSQL extension, providing automatic partitioning across time and space (partitioning key), as well as full SQL support.

Start free TimescaleDB trial with OctaByte. Simple no-tricks Pricing, Scalable & Secure, just in $9.

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TimescaleDB dashboard

Benefits of TimescaleDB fully managed by OctaByte

Deploy a fully managed instance of TimescaleDB in just $9. You can relax knowing that we are taking care of installation, configuration, encryption, security, backups, live monitoring, software & OS updates.

Simple no-tricks pricing
Enjoy transparent and straightforward pricing with no hidden fees or complex terms.
No vendor lock-in
You can migrate your software and data to any where any time you want. With OctaByte you are totally free and in control.
Automated Updates
Let's save your business a lot of hassle, whilst ensuring that you get the performance and security benefits of regularly updated software and systems.
Encrypted Everything
All connections between your computer, the dashboard and your services are encrypted end-to-end with TLS, and all data is encrypted at rest.

TimescaleDB screenshots

TimescaleDB screenshot
TimescaleDB screenshot

TimescaleDB features Highlight

Supercharged PostgreSQL
With TimescaleDB, you can rely on the same PostgreSQL you're familiar with, with full SQL, rock-solid reliability, and a massive ecosystem.
Accelerated performance
You can achieve 10-100x faster queries than with PostgreSQL, InfluxDB and MongoDB, and benefit from native optimizations for time-series.
Massive scale
TimescaleDB allows you to write millions of data points per second per node. You can horizontally scale to petabytes, and need not worry about cardinality.
Relational & time-series combined
Since SQL JOINS are natively supported in TimescaleDB, data from different sources can be combined at query time (e.g. combining relational data stored in PostgreSQL tables with time-series data stored in TimescaleDB hypertables). This ability to store relational data alongside time-series data enables developers to simplify their stack, potentially reducing complex polyglot architectures to a single operational analytical database. This enables you to build more powerful applications.

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