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Timescale has announced it has appointed Virginia Liu as its Chief Marketing Officer, reporting to Ajay Kulkarni, CEO of Timescale. As global CMO, Ms. Liu will oversee functions including developer advocacy, community engagement, growth marketing, brand and corporate communications.

Today, Timescale - the creators of Timescale Cloud, the cloud-native PostgreSQL for time series, analytics, and events — announced the private beta launch of a consumption-based, low-cost object storage layer built on Amazon S3. Timescale Cloud customers can now store an infinite amount of data to power their applications, paying only for what they store.

Timescale has announced the appointment of Mr. Jason Montgomery as Vice President, Sales. Mr. Montgomery will be responsible for driving revenue growth and ensuring the continued success and support of Timescale customers across diverse industries.

Timescale announces the results of its 2022 State of PostgreSQL survey

Timescale has announced the appointment of Kerri Damm as Chief Financial Officer with effect from June 20, 2022. Kerri joins Timescale as the company continues to see unprecedented growth in its business and the continued maturation of its business model.

Today, Timescale - the creators of TimescaleDB, the industry-leading relational database for time-series built in PostgreSQL - announced the full availability of OpenTelemetry support in Promscale. Promscale is the unified observability backend for Prometheus metrics and OpenTelemetry traces powered by SQL built on TimescaleDB and PostgreSQL.

The funding, led by new investor Tiger Global, will fuel Timescale’s thriving business, with 20x revenue growth and 7x community growth in the past two years, and over 500 paying customers today.

The funding, led by new investor Tiger Global, will fuel Timescale’s thriving business, with 20x revenue growth and 7x community growth in the past two years, and over 500 paying customers today.

Today, Timescale, the creators of TimescaleDB - the category-defining relational database for time-series - announced the release of support for OpenTelemetry traces in Promscale, the observability backend for metrics and traces powered by SQL.

Timescale, the creators of TimescaleDB - the category-defining relational database for time-series - announces the release of the new Timescale Cloud, the easiest and most scalable way for developers to collect and analyze their time-series data.

The team at Timescale posted a detailed primer about the design principles and decisions behind its new hyperfunctions on the popular TimescaleDB.

Timescale announces $40M Series B as cloud adoption of its category-defining relational database for time-series accelerates.

Timescale grabs $40M Series B as it goes all in on cloud version of time series database

"Read how Timescale plans to double down on its commercial product development with its new cash infusion, led by Redpoint Ventures, including new features to easily manage petabyte-scale deployments and an observability platform for developers.

Timescale CEO Ajay Kulkarni shares why time-series databases are so hot - and will only become more ubiquitous - and expands on the company's open core, free licensing model.

Timescale CEO Ajay Kulkarni expands on Timescale Cloud’s recent expansion to more global regions, Timescale's growth and why time-series data is hotter than ever, plus what’s next for the industry.

Timescale announces major improvements to Timescale Cloud, the leading time-series cloud database-as-a-service. To support its global customers, Timescale Cloud is now available in 75+ AWS, Azure, and GCP regions and nearly 2,000 CPU configurations - offering unparalleled scale and flexibility.

Fujitsu Australia Software Technology partners with Timescale to support cloud and on-premises enterprise adoption of PostgreSQL and time series workloads.

Datanami recently caught up with Timescale co-founder and CEO Ajay Kulkarni at the Strata Data Conference in New York.

The “Most Disruptive Startup” award was given to Timescale, developer of TimescaleDB, the easiest, fastest, and most reliable place to store and analyze time-series data.

Timescale was named a finalist in the category "Most Disruptive Startup".

TimescaleDB announced yesterday that they are going distributed; this version is currently in private beta with the public version slated for later this year.

Turn raw data into fixed time intervals for metric analysis and visualization.

In this post, we examine why the pendulum today is swinging back to SQL and what this means for the future of the data engineering and analysis community.

See a list of 4 time series databases to use in 2019.

In the context of IoT, developers can use a Raspberry Pi to serve as a prototype for larger-scale edge initiatives. Here, we are interested in exploring how to run edge hardware, push time-series data from that hardware into a TimescaleDB, and configure a visualization of that data in Grafana.

See how to ingest data from Apache Kafka to TimescaleDB.

Timescale announced the availability of Timescale Cloud, a fully managed version of their time series database on Azure, GCP, and AWS. It provides time series analysis functions, scale up and down, visualization integration with tools like Grafana and Tableau, and data encryption.

Time series databases are on the rise, with TimescaleDB of particular interest to developers.

Timescale, the company behind the leading open-source time-series SQL database TimescaleDB, announces the general availability of Timescale Cloud, the on-demand and managed cloud service that makes it easy to work with time-series and IoT data.

Timescale, the company behind the open-source time-series SQL database TimescaleDB, is releasing Timescale Cloud , an on-demand and managed cloud service that makes it easy to work with time-series and IoT data.

Timescale, the company behind the leading open-source time-series SQL database TimescaleDB, announces the general availability of Timescale Cloud, the on-demand and managed cloud service that makes it easy to work with time-series and IoT data.

There have been years of hype generated around innovative IoT technologies that we previously never imagined possible. From connected fitness equipment to industrial smart gloves to intelligent water management systems — the possibilities now seem endless.

Freedman is a Princeton University professor known for his work in the design and deployment of self-organizing geo-distributed systems. Freedman has shown how to build scalable, performant, and autonomous distributed systems for modern heterogeneous deployments and realistic workloads and is known for his systems like CoralCDN, JetStream and TimescaleDB.

Look into what causes high cardinality and why it's a common problem when dealing with time series data.

Data is the lifeblood of any IoT application. In other words, IoT companies rely on their data to improve operations, provide better user experiences, make smarter business decisions and ultimately fuel growth.

Ranked n°15 last year, TimescaleDB is making huge progress in the rankings this year. Why? Well if you ask me, they provide a very solid and scalable alternative to InfluxDB.

TimescaleDB promises better performance due to more efficient algorithms and performance oriented data structures. Another significant advantage of TimescaleDB is automatic table partitioning, which improves performance and (combined with Zabbix) delivers fully automatic management of historical data.

Timescale has announced a new partnership with Microsoft Azure to support TimescaleDB on Azure Database for PostgreSQL. This will enable customers to deploy production-ready instances of TimescaleDB on Azure.

Timescale, the company behind the leading open-source time-series SQL database, announces that it has partnered with Microsoft Azure to introduce support for TimescaleDB on Azure Database for PostgreSQL. Customers can now deploy fully-managed, production-ready instances of TimescaleDB’s open-source offering on Azure.

In almost every industry, there is a digital transformation underway that is driven by IoT and Big Data. What’s important to recognize is that IoT isn’t about things; it’s about the data those things collect. Organizations rely on this data to provide better user experiences, to make smarter business decisions, and, ultimately, fuel their growth.

Ajay Kulkarni, CEO, and Michael Freedman, CTO, are the Co-Founders of Timescale, a time-series SQL database optimized for fast analytics and complex queries. Timescale is deployed for mission-critical applications for organization’s in manufacturing, space, oil & gas, logistics, mining, finance, telecom and more. In this episode, Ajay and Michael discuss Timescale’s licensing and the evolution of open source.

Timescale, a New York-based open-source time-series database, raised $15 million in Series A1 funding. Icon Ventures led, and was joined by return backers Benchmark, NEA and Two Sigma Ventures.

Amid a chorus of opinions about the future of open source licensing, time-series database vendor Timescale has released its latest version with a multilayered licensing model.

Timescale, the company behind the leading open-source time-series SQL database, announces it has raised $15 million in a Series A1 financing led by Icon Ventures with participation from existing investors Benchmark, NEA, and Two Sigma Ventures. Combined with its earlier rounds of financing, Timescale has raised over $31 million to help organizations utilize the power of time-series data to analyze the past, monitor the present, and predict the future.

It’s a big day for Timescale, makers of the open-source time-series database, TimescaleDB. The company announced a $15 million investment and a new enterprise version of the product.

Timescale, a New York startup founded by Ajay Kulkarni and Mike Freedman, is on a mission to build open source database software for time-series data — i.e., data from internet of things (IoT) devices, financial platforms, and DevOps tools that is largely immutable and partitioned across both space and time.

Timescale, a New York-based operator of an open-source time-series SQL database, raised $15 million in Series A1 funding. Icon Ventures led the round, and was joined by investors including Benchmark, NEA, and Two Sigma Ventures.

The past year has been an active one for the timeseries market. New products have been launched, more businesses have moved to streaming analytics, and the team at Timescale has been keeping busy.

Open-source companies are tired of being pushed around by cloud providers and technology giants. As a result, these companies are taking measures into their own hands with the development of new software licenses for their projects.

In the newest episode of Entrepreneur Network partner Jason Saltzman's series Resilience (now in its second season), Ajay Kulkarni, co-founder and CEO of Timescale, sits down with Satlzman to talk about the about his business and its place in modern-day society.

TimescaleDB is an open-source, time-series database that’s capable of handling huge volumes of machine-generated data, ingesting millions of data points per second, scaling up to tens of terabytes of data and tables with hundreds of billions of rows, and processing complex queries faster than other time-series databases.

This post describes the requirements that we have to work with, how we use TimescaleDB to store and retrieve time series data, and the tooling we’ve developed to manage our infrastructure.

This post describes the requirements that we have to work with, how we use TimescaleDB to store and retrieve time series data, and the tooling we’ve developed to manage our infrastructure.

Amazon Timestream is a new time series database that, as the name implies, is optimized for time series data. While time series data is hardly new, IoT has pushed the urgency for more efficient storage and retrieval of time series data to the front burner. InfluxData and Timescale are among a series of new time series database providers whose introductions have invaded our inbox over the past year.

Built-for-purpose databases target general ones, especially in the cloud. At re:Invent 2018, AWS added time-series and transaction ledger databases to expand its line.

Managing time-series data, such as that generated by financial service systems or Internet of Things networks, can be a challenge. Timescale has developed TimescaleDB, a time-series database that is optimized for fast data ingest and complex queries.

More organizations will opt for deploying open-source software and as a result, legacy software vendors will suffer,” said Mike Freedman, CTO of Timescale and Professor of Computer Science at Princeton University.

Catch up with everything that appeared on I Programmer last week. TimescaleDB, an open-source PostgreSQL extension for time-series that is optimized for fast ingest and complex queries, has been released as production ready by its developers.

TimescaleDB, an open-source PostgreSQL extension for time-series that is optimized for fast ingest and complex queries, has been released as production ready by its developers.

On Tuesday, the team at Timescale announced the official production release of TimescaleDB 1.0. Two months ago, the team released its initial release candidate. With the official release, TimescaleDB 1.0 is now the first enterprise-ready time-series database that supports full SQL and scale.

TimescaleDB 1.0 is now officially production ready. Originally introduced as an initial release candidate a few weeks ago, the database is the result of over two years of effort.

Timescale, the company behind the first open-source time-series database powered by PostgreSQL, announces a first-class integration with Grafana Labs for time-series data exploration and visualization.

The European Space Agency Science Data Center (ESDC) switched to PostgreSQL with the TimescaleDB extension for their data storage. ESDC’s diverse data includes structured, unstructured and time series metrics running to hundred of terabytes, and querying requirements across datasets with open source tools.

Ajay Kulkarni, CEO and co-founder at TimescaleDB, said he loves innovation in data analytics, and is glad that Google is taking time-series data seriously:

Step 3 [in the evolution] is the AI and machine learning world where you can predict everything that’s going to happen,” explained Ajay Kulkami, co-founder and CEO of time-series database company Timescale.

TimescaleDB has helped businesses across the world with mission-critical applications such as industrial data analysis, complex monitoring systems, operational data warehousing, financial risk management, geospatial asset tracking, and more.

The company, jointly headquartered in Sweden and the U.S., announced the release of version 1.0 against the backdrop of the Strata Data Conference in New York.

Timescale, the company behind the first open-source time-series database powered by PostgreSQL, announced the first release candidate for TimescaleDB 1.0. This milestone signifies TimescaleDB’s maturity and readiness as an enterprise time-series database designed to support full SQL and scale.

On this week’s episode of the Real World IoT Podcast, host Ken Briodagh discusses the management of IoT data with Co-Founder and CEO of Timescale, Ajay Kulkarni, as well as Mike Freedman, Co-Founder and CTO of Timescale.

n this episode of the ARCHITECHT Show, Timescale founders (and TimescaleDB creators) Ajay Kulkarni and Mike Freedman discuss their company, which began life as an internet of things platform, and the popular time-series database that serves as its foundation.

In many ways, Timescale is how you build a database in 2018. Rather than starting de novo, the team decided to build on top of Postgres, a popular open-source SQL database.

Net of another funding event, it seems Timescale and InfluxData may be staging a repeat of the recent CloudEra/Hortonworks battle among big data startups.

In this episode the founders of TimescaleDB, Ajay Kulkarni and Mike Freedman, discuss how Timescale was started, the problems that it solves, and how it works under the covers. They also explain how you can start using it in your infrastructure and their plans for the future.

And while they are by no means alone in this market, the open source TimescaleDB that they let loose on the world last summer is getting traction and on the rise, in part because of the growing popularity of the PostgreSQL database engine that it overlays with time series capabilities and enhanced scalability.