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Timescale — Analytical Databases · fobi

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Timescale

Timescale builds TimescaleDB, a time-series database extension for PostgreSQL optimized for IoT, monitoring, and event data. Raised $110M Series C in 2022. Time-series is a large vertical workload. Competes with InfluxDB and Prometheus for observability use cases.

The most successful time-series database that preserves full SQL compatibility, making time-series analytics accessible without new tooling.

timescale.com Analytical Databases

United Statesprivate

At a glance

Total raised

$165.6M

last round series c

Headcount

51-200

approximate · public range

Headquarters

New York

United States

Founded

2015

11 years active

Status

Private

Analytical Databases

Latest valuation

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Date	Stage	Amount	Valuation	Lead investors
Feb 1, 2022	Series C	$109.5M	$1B	—
May 5, 2021	Series B	$40M	—

AI bull / bear

Bull case

Timescale's bet on PostgreSQL is its single biggest strategic advantage. PostgreSQL is the fastest-growing database in the world by adoption, and by building as an extension rather than a fork, Timescale gives users time-series capabilities without abandoning the SQL tooling, ORMs, and ecosystem they already depend on. That switching cost advantage is real — enterprises evaluating InfluxDB face a rewrite of their query layer, while Timescale requires zero migration of skills. The $110M Series C raised in 2022 provided substantial runway to build out cloud services (Timescale Cloud) and features like continuous aggregates and tiered storage that close the performance gap with purpose-built time-series engines. As IoT, observability, and financial tick-data workloads explode, the addressable market for time-series databases expands beyond monitoring into analytics-heavy use cases where SQL fluency matters most. Timescale occupies the only position that combines time-series performance with full PostgreSQL compatibility — a niche that gets more valuable as data volume grows and teams demand unified tooling.

Bear case

Timescale faces a brutal competitive squeeze from both sides. In the observability market — its largest beachhead — Prometheus is effectively free and deeply embedded in the Kubernetes ecosystem, while Grafana Labs has built a massive open-source community around Loki and Mimir that reduces the need for a separate time-series database entirely. InfluxDB, despite its own struggles, has raised over $100M and retains a strong brand in IoT and sensor data. The more existential threat is PostgreSQL itself — as the core database adds native partitioning, incremental materialized views, and WAL improvements, the marginal value of Timescale's extension shrinks with every major PG release. Meanwhile, cloud vendors Azure (Data Explorer) and AWS (Timestream) are aggressively competing with managed services that abstract away the database layer entirely. Timescale must sell hard against free alternatives while defending an extension layer that PostgreSQL could eventually render unnecessary — a business model that gets harder to sustain, not easier.

Generated by deepseek-v4-flash · June 2, 2026Refreshes quarterly · see disclosures

Timescale

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Funding history

How they make money

Founder backgrounds

Ajay Kulkarni

Mike Freedman

AI bull / bear

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TimescaleDB

Timescale Cloud

pgai

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