TimescaleDB
TimescaleDB is an open-source time-series database built as a Postgres extension. Handles billions of rows with familiar SQL, advanced compression, and automatic partitioning. The database of choice for IoT, metrics, and financial data.
- Location
- New York, USA
- Raised
- $110M
- Stage
- Series C
- Founded
- 2017
- Category
- Open Source
- Funding
- VC-backed
- Team
- 100-250
Funding figures as of Jul 2025 · not independently verified
Founders of TimescaleDB
- Ajay Kulkarni
- Mike Freedman
Investors backing TimescaleDB
- Tiger Global
- Bessemer Venture Partners
- NEA
Frequently asked questions
What does TimescaleDB do?
TimescaleDB is an open-source time-series database built as a Postgres extension. Handles billions of rows with familiar SQL, advanced compression, and automatic partitioning. The database of choice for IoT, metrics, and financial data.
Where is TimescaleDB based?
TimescaleDB is based in New York, USA.
When was TimescaleDB founded?
TimescaleDB was founded in 2017.
How much has TimescaleDB raised?
TimescaleDB has raised $110M in their Series C round as of Jul 2025.
Who founded TimescaleDB?
TimescaleDB was founded by Ajay Kulkarni, Mike Freedman.
Who has invested in TimescaleDB?
TimescaleDB is backed by Tiger Global, Bessemer Venture Partners, NEA.
How TimescaleDB would pitch themselves
○ Auto-generated01Target customer
Developers + open-source communities + enterprises wanting an OSS-first tool in this category, with optional commercial support.
02Problem they solve
TimescaleDB is an open-source time-series database built as a Postgres extension. Handles billions of rows with familiar SQL, advanced compression, and automatic partitioning. The database of choice for IoT, metrics, an… The category has historically been served by tools that miss the modern workflow this product is built around.
03Key differentiator
TimescaleDB differentiates on time-series sql built on postgres. Backed by Tiger Global + Bessemer Venture Partners, $110M raised — the company has resources + validation to compound this thesis. Founded by Ajay Kulkarni + team.
04Go-to-market strategy
Growth-stage GTM — multi-channel revenue motion (direct enterprise sales, channel partnerships, marketplace listings). Vertical specialisation + verticalised AE teams targeting enterprise + mid-market.