Timescale Launches Industry’s First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale

Timescale Launches Industry’s First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale

Latest update brings advanced customization options and a multi-node, petabyte-scale database for time-series analysis to developers everywhere – for free.

Timescale, the creators of TimescaleDB the category defining relational database for time series announced the availability of TimescaleDB 2.0, a major update that organizations and developers have eagerly anticipated. New features and enhancements include: multi-node capabilities for petabyte-scale deployments, fully free licensing for TimescaleDB software, and numerous capabilities that give users more flexibility and control over their data. It has been a big year for the company, who recently announced the expansion of its Timescale Cloud offering to 75+ cloud regions – the most of any hosted service for time-series data. Today’s news underscores Timescale’s commitment to its community and developer experience, further strengthening its position as the leading time-series database.

Time-series data is everywhere: whenever organizations need to understand how and why something changes over time, they need to analyze time-stamped data. Common scenarios include application metrics and cloud infrastructure monitoring, fleet management and other Internet of Things use cases, financial data analysis, and more.

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With the near-universal adoption of cloud computing and accelerated digital transformation in every line of business, understanding how and why systems, behavior, and metrics change is increasingly critical to organizations of all sizes as they seek to forecast sales, perform capacity planning, analyze website performance, and much more.

TimescaleDB 2.0 marks the industry’s first multi-node relational time-series database for time-series, building on one of TimescaleDB’s existing innovations, the hypertable. Hypertables automatically partition data into many sub-tables, while giving the illusion of one single, continuous table – allowing for fast querying, easy management, and a smaller storage footprint. Hypertables distributed across multiple nodes (new functionality in TimescaleDB 2.0) give organizations even greater horizontal scalability and performance.

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TimescaleDB 2.0 continues to embrace its open community with a completely free software licensing model that gives users access to all features, the “right to repair and modify” source code to suit their needs, and the ability to deploy TimescaleDB in their own infrastructure. All functionality is now available for free in a single GitHub code repository under the updated Timescale License.

“Once considered a niche reserved for finance and IoT scenarios, time-series workloads now permeate every industry and use case for one simple reason: everyone wants to make data-driven decisions faster. This requires capturing data at the highest fidelity possible – and this is where TimescaleDB shines. We’re laser-focused on helping developers store and analyze time-series data in a fast, reliable, and cost-effective way; with TimescaleDB 2.0, we introduce even more scale and flexibility, setting a new bar for time-series databases, so that developers and organizations focus on their core applications and on delighting their users.” – Ajay Kulkarni, CEO Timescale.

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