Timescale, the creators of the category-defining relational database for time-series TimescaleDB, today announced major improvements to Timescale Cloud, the industry’s leading fully-managed time-series cloud database-as-a-service. To support its global customers, Timescale Cloud is now available in 76 cloud regions across Amazon Web Services, Microsoft Azure, and Google Cloud Platform and nearly 2,000 different CPU configurations, providing customers even more flexibility and control over their data. Organizations across industries, ranging from Fortune 500 enterprises to innovative startups, rely on Timescale Cloud to analyze their mission-critical systems and business performance – and today’s enhancement will fuel even more growth and adoption.
Time-series data is everywhere: whenever organizations need to understand how and why something changes over time, they need to analyze time-stamped (or “time-series”) data. Common scenarios include application metrics and cloud infrastructure monitoring, fleet management and other Internet of Things scenarios, financial data analysis, and more.
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 degradations, and much more.
“In the past few years, time-series data has exploded as one of the fastest growing categories of data workloads. At the same time, most developers still prefer relational databases, and more and more organizations are moving to the cloud. Timescale Cloud is an industry-changing product that sits at the intersection of all these trends, and it has quickly become the leading managed service for time-series data. With this expansion to even more global regions, we continue our commitment to delivering the best possible product to developers, and we’re thrilled to continue to earn the business of forward-thinking organizations worldwide.” – Ajay Kulkarni, CEO Timescale
TimescaleDB provides the scalability and performance necessary to capture, store, and analyze relentless streams of time-series data, the analytical tools to make sense of how this data changes, and built-in features to reduce compute and storage costs by up to 94%. Additionally, since it’s based on PostgreSQL – a proven technical foundation for enterprises worldwide – organizations that choose TimescaleDB are able to leverage their existing skills, tools, and teams. Specifically, TimescaleDB customers use full SQL (ranked among the top 3 most popular programming languages) to query their data, access the wide ecosystem of PostgreSQL development and operations tools, and get the confidence that comes with standardizing on a database with over 30 years of active development and a strong reputation for reliability, feature robustness, and performance.
Timescale Cloud – a cloud-hosted version of TimescaleDB – launched last year as the first fully-managed multi-cloud time-series database, enabling organizations to get all the benefits of TimescaleDB, with worry-free operations and the ability to grow, shrink, and migrate workloads with ease as business needs demand (see full launch announcement).
With today’s announcement, Timescale Cloud is even more powerful, offering the widest cloud vendor and region support, analytical capabilities, and scale of any managed service for time-series data (see full announcement for details about cloud region availability, Timescale customers, and more). Based on customer feedback and to ensure Timescale Cloud meets the needs of developers and organizations around the world, Timescale Cloud now includes fine-grained options for CPU and disk storage, allowing customers to incrementally scale up or down in a vast array of regions, with CPU options ranging from 2 up to 72 CPUs and storage ranging from 20GB to 10TB (equivalent to 150TB+, thanks to TimescaleDB’s best-in-class compression – for detailed information about compression benchmarks, see this blog post).
What Timescale Cloud customers have to say
Everactive focuses on optimizing customer experience for their revolutionary batteryless sensors, not scaling their database
“We have over 100 million rows of data in development and production, and we needed a database that could handle this volume, while also allowing us to use our internal teams and resources. We evaluated several options, and Timescale Cloud was the clear winner: we get to use SQL and leverage tools already available in PostgreSQL, but don’t have to worry about database administration or scalability. We can set it and forget, freeing up our engineers to work on optimizing our customers’ experience.” – Clayton Yochum, Data Science Staff Engineer at Everactive – a technology company revolutionizing Industrial IoT with batteryless sensors.
When I Work reduces their monitoring footprint and costs by combining Prometheus with Timescale Cloud
“Timescale Cloud has dramatically reduced our monitoring footprint and costs from our previous tools, with simple pricing that allows our developers to collect more custom metrics than ever before. We rely on Prometheus to collect key metrics from each environment, while Timescale aggregates and alerts on them in real-time – something most Prometheus aggregators do not guarantee – and its basis on Postgres allows us to rely on the existing, exhaustive documentation and depth of tooling for that platform. Timescale Cloud provides the uptime we need for constant monitoring, and the Timescale team has continued to be responsive to problems and questions, while simultaneously delivering new features at an incredible pace.” – Sean Sube, DevOps Engineer at When I Work – a popular SaaS platform for employee scheduling, time and attendance, hiring, and more.
Blue Sky tackles global climate change with advanced geospatial and time-series analytics
“Timescale Cloud is a great place to start working with time-series data, and I strongly recommend it to developers. With Timescale Cloud, you can adjust the system to meet your needs in terms of scale and flexibility…the possibilities are endless! It is truly a cutting-edge technology that has expedited our mission of commanding the space of environmental data.” – Kshitij Purwar, CTO at Blue Sky Analytics – a startup that’s on a mission to use geospatial data to fight climate change (read more about how Blue Sky Analytics uses data to power their platform).
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Timescale develops TimescaleDB, the category-defining open-source relational database for time-series data, and Timescale Cloud, a cloud-hosted version of TimescaleDB and the leading fully-managed database for time-series. TimescaleDB offers developers the reliability, performance, scale, and advanced analytical capabilities they need to store and analyze mission-critical data, with the flexibility to run across all three major cloud providers and 75 regions. With over 500K active databases deployed worldwide,Timescale customers span all industries and use cases, including: cloud infrastructure monitoring and metrics, SaaS product analytics, media and entertainment, Internet of Things, and more. Timescale is a remote-first company with a global workforce and is backed by Benchmark Capital, New Enterprise Associates, Icon Ventures, Two Sigma Ventures, and other leading investors. For more information, visit www.timescale.com or follow @TimescaleDB.