Timescale

Timescale began in 2015 as an effort to build an IoT platform for continuously arriving sensor data. Its founders describe choosing PostgreSQL as a reliable, extensible foundation and developing TimescaleDB so PostgreSQL could handle machine data at scale. The company’s current website presents Tiger Data as the operational data layer for the physical world and describes TimescaleDB as its core database technology. The product approach centers on keeping operational and time-series data in PostgreSQL rather than requiring separate databases and synchronization pipelines. The company describes capabilities including automatic time- and key-based partitioning, row-columnar storage, compression, tiered storage, time-series functions, and PostgreSQL-native access. Its site presents use cases across IoT, industrial automation, oilfield services, and other systems that depend on live machine telemetry. It also describes Tiger Cloud as a managed service and TimescaleDB Enterprise as an option for plant-floor deployments, with TimescaleDB remaining open source at the core. The company says thousands of companies use its products and identifies CERN among its customers. It reports raising $180 million, but the supplied evidence does not identify its headquarters, legal ownership, or a public listing. The company’s present public-facing brand is Tiger Data, while Timescale and TimescaleDB remain central product and technology names.

Timescale says it began in 2015, initially building an IoT platform. Its founders encountered a recurring challenge: sensor and machine data arrived continuously and grew in volume, while existing database approaches forced a choice between reliable transactions and time-series scale. Splitting operational records and time-series data across systems could add infrastructure and pipelines and risk inconsistencies. The company chose PostgreSQL as its foundation and built TimescaleDB to extend PostgreSQL for machine-data workloads. The product has been presented as a way to handle time-series data alongside the relational records that provide operational context. The company describes automatic time- and key-based partitioning, row-columnar storage, compression, tiered storage, and more than 200 SQL functions for time-based analytics. Its current homepage presents workloads including factories, wells, grids, and fleets, and describes ingestion, storage, and querying of live and historical data within PostgreSQL. The company’s current identity and product portfolio use the Tiger Data name. Its About page describes Tiger Cloud as the managed offering and TimescaleDB Enterprise as a deployment for the plant floor, while saying TimescaleDB remains open source at its core. The same page reports 3 million databases and more than 2,000 companies, and says the company has raised $180 million. It names Ajay Kulkarni as founder and CEO and Mike Freedman as founder and CTO. The supplied sources do not establish a headquarters, exact funding dates, or a corporate ownership structure.

• 2015

  Company begins as an IoT platform effort

• Tiger Data presents a managed and enterprise product portfolio

A PostgreSQL-based operational data platform for time-series and physical-world machine data, designed to keep telemetry and related operational records together.

• TimescaleDB

  A PostgreSQL-based database extended for time-series and machine-data workloads, with features such as partitioning, compression, and time-series SQL functions.

• Tiger Cloud

  The company’s managed database service.

• TimescaleDB Enterprise

  The company’s TimescaleDB offering for plant-floor deployments.

• Build on PostgreSQL rather than split operational and time-series data across databasesOther

• Unconfirmed

  Timescale launches Timescale Cloud[5]Timescale推出Timescale Cloudithome.com.tw

  Timescale launched Timescale Cloud, a cloud database service for relational and time-series workloads with multi-node TimescaleDB support.

Read more

1. 1Time-Series PostgreSQL at Petabyte Scaletigerdata.com
2. 2Who We Are and What We Believe In | Tiger Datatigerdata.com
3. 3Postgres for Oilfield services | Tiger Datatigerdata.com
4. 4Changelog | Tiger Data Docstigerdata.com
5. 5Timescale推出Timescale Cloudithome.com.tw