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October 28, 2019:
Fujitsu Australia Software Technology partners with Timescale to support cloud and on-premises enterprise adoption of PostgreSQL and time series workloads.
October 17, 2019:
Datanami recently caught up with Timescale co-founder and CEO Ajay Kulkarni at the Strata Data Conference in New York.
BusinessWire
September 26, 2019:
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.
BusinessWire
September 4, 2019:
Timescale was named a finalist in the category "Most Disruptive Startup".
Packt>Hub
August 22, 2019:
TimescaleDB announced yesterday that they are going distributed; this version is currently in private beta with the public version slated for later this year.
DZone
August 9, 2019:
Turn raw data into fixed time intervals for metric analysis and visualization.
DZone
July 15, 2019:
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.
DZone
July 11, 2019:
See a list of 4 time series databases to use in 2019.
DZone
July 1, 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.
DZone
June 28, 2019:
See how to ingest data from Apache Kafka to TimescaleDB.
InfoQ
June 27, 2019:
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.
TechRepublic
June 26, 2019:
Time series databases are on the rise, with TimescaleDB of particular interest to developers.
June 20, 2019:
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.
Database Trends and Applications
June 18, 2019:
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.
BusinessWire
June 18, 2019:
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.
IoT Agenda
June 3, 2019:
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.
SD Times
May 20, 2019:
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.
DZone
May 2, 2019:
Look into what causes high cardinality and why it's a common problem when dealing with time series data.
IoT Agenda
April 16, 2019:
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.
devconnected
April 11, 2019:
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.
Packt>Hub
April 3, 2019:
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.
SD Times
March 19, 2019:
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.
BusinessWire
March 18, 2019:
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.
DZone
March 14, 2019:
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.
Open Source Underdogs
March 11, 2019:
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.
Axios
January 30, 2019:
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.
The New Stack
January 30, 2019:
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.
BusinessWire
January 30, 2019:
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.
TechCrunch
January 29, 2019:
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.
VentureBeat
January 29, 2019:
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.
Fortune
January 29, 2019:
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.
Data Engineering Podcast
January 14, 2019:
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.
SD Times
December 21, 2018:
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.
Entrepreneur
December 20, 2018:
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.
December 7, 2018:
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.
Security Boulevard
December 6, 2018:
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.
High Scalability
December 5, 2018:
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.
ZDNet
December 3, 2018:
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.
TechTarget
November 30, 2018:
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.
insideBIGDATA
November 26, 2018:
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.
November 26, 2018:
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.
I Programmer
November 17, 2018:
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.
I Programmer
November 8, 2018:
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.
Packt
November 1, 2018:
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.
SD Times
October 31, 2018:
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.
BusinessWire
October 16, 2018:
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.
InfoQ
October 13, 2018:
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.
ZDNet
September 28, 2018:
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:
CIO.com
September 25, 2018:
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.
Packt>Hub
September 13, 2018:
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.
RTInsights
September 13, 2018:
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.
BusinessWire
September 12, 2018:
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.
Real World IoT Podcast
July 11, 2018:
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.
the ARCHITECHT Show
May 26, 2018:
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.
TechCrunch
April 21, 2018:
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.
ARC Advisory Group
March 6, 2018:
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.
Data Engineering Podcast
February 11, 2018:
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.
The Next Platform
January 25, 2018:
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.