Timescale develops TimescaleDB, a PostgreSQL-based, SQL-compatible relational database optimized for time-series workloads. The company emphasizes developer experience and aims to be a data platform for developers building time-series applications. In the past two years Timescale has seen 7x community growth and 20x revenue growth, and serves over 500 paying customers plus tens of thousands of community users. Customers using TimescaleDB include Akamai, Cisco WebEx, Comcast, DigitalOcean, GE, IBM, Microsoft, Pfizer, Samsung, Schneider Electric, Uber, and Walmart. Timescale is remote-first with a global workforce and plans increased investment in product, engineering, and R&D, along with broader efforts to serve its community and grow the team. The company positions itself to address rising demand from IoT, observability, web3/crypto, and other time-series use cases. Timescale develops TimescaleDB, a purpose-built time-series database layered on Postgres that handles scalability, reliability and performance for time-oriented data. The company offers an open-source core while providing a managed cloud service as its primary revenue channel. Last year it made enterprise features free in the open-source product and is betting on a cloud-managed offering to drive monetization. Timescale reports over 2 million monthly active databases, which it views as a conversion funnel for its cloud service. The company is remote-first, with about 60 employees across 20 countries, and is based in New York City. CEO and co-founder Ajay Kulkarni frames the product as a category-defining relational database for time series. Timescale offers an open-source time-series database built on Postgres that emphasizes SQL compatibility while providing scalability for high-volume, time-indexed data. The product targets use cases across financial services, smart homes, self-driving cars and other data-intensive applications that require measuring how data changes over time. Timescale highlights its SQL-first approach and Postgres foundation as differentiators in a crowded database market. The project has seen rapid community adoption—more than one million downloads in just over 22 months—and counts customers such as Charter, Comcast, Hexagon Mining, Nutanix and TransferWise. The company is commercializing via a new enterprise/commercial license that adds sophisticated automation, lifecycle management (including moving older data to cheaper long-term storage), automated data reordering, and features to ease analytics. A managed cloud offering is on the roadmap for later this year, and the new funding will support product development and go-to-market expansion. Timescale is an open-source time-series database startup specifically designed for scale and complex queries. Co-founded by Ajay Kulkarni and Mike Freedman, the company has assembled a team of top researchers and industry veterans with experience building scalable systems. Timescale operates out of New York City, Stockholm and Los Angeles. The product is positioned to handle scale and complex queries for time-series data. The company plans to use the new capital to continue developing its solution and expand operations. It has raised more than $16M in total funding.

Total raised

$177M

Funding rounds

4

Latest round

Series C

Latest activity

Feb 2022