Today, with TimescaleDB 2.0, we are marking a major milestone in our journey.
In that time, the TimescaleDB community has become the largest developer community for time-series data: tens of millions of downloads over 500,000 active databases organizations like AppDynamics, Bosch, Cisco, Comcast, Credit Suisse, DigitalOcean, Dow Chemical, Electronic Arts, Fujitsu, IBM, Microsoft, Rackspace, Schneider Electric, Samsung, Siemens, Uber, Walmart, Warner Music, WebEx, and thousands of others all in addition to the PostgreSQL community and ecosystem. Since launching 3.5 years ago, TimescaleDB has proven itself as the leading relational database for time-series data, engineered on top of PostgreSQL, and offered via free software or as a fully-managed service on AWS, Azure, and GCP. Being able to correlate it with technical metadata, business data, and outcomes is critical to understanding how your software, systems, operations, and business changes over time.īuilding that database has always been our mission: to help developers store and analyze time-series data in a fast, reliable, and cost-effective way, so that they can focus on their core application and delight their users. After all, your time-series data doesn’t exist in a vacuum.
What developers need is a new kind of database, purpose-built for time-series workloads while fully embracing the relational model. In addition, PostgreSQL is the fastest growing database over the last year (yes, growing faster than even MongoDB). Despite years of NoSQL hype, the top 4 databases in use today are all relational databases. As software continues to relentlessly penetrate our lives and businesses, time-series data is becoming even more ubiquitous and mission-critical.Īt the same time, relational databases, that old stalwart, are making a comeback as the database of choice for software applications. Whether you are monitoring your software stack, users, manufacturing line, home, vehicle, stock and cryptocurrency portfolio, air quality in your house, or just your health in the middle of a pandemic, you are collecting time-series data. See our announcement post for details – and continue reading this post to learn more about TimescaleDB 2.0, time-series data, and why we believe relational databases are the past and future of software development. ✨ Update: As of February 4, 2021, TimescaleDB 2.0 is officially Generally Available ✨. After two years of dedicated engineering and user feedback, TimescaleDB 2.0 is finally here, setting a new bar for time-series databases – and it’s completely free.
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