Timescale

Canvas Category Software : Cloud Computing : Data & AI

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Primary Location New York, New York, United States

Financial Status VC; NEA, Benchmark, Icon Ventures, Redpoint Ventures, Two Sigma Ventures, Tiger Global

Timescale is addressing one of the largest challenges (and opportunities) in databases for years to come: helping developers, businesses, and society make sense of the data that humans and their machines are generating in copious amounts. TimescaleDB is the only open-source time-series database that natively supports full-SQL, combining the power, reliability, and ease-of-use of a relational database with the scalability typically seen in NoSQL systems. It is built on PostgreSQL and optimized for fast ingest and complex queries. TimescaleDB is deployed for powering mission-critical applications, including industrial data analysis, complex monitoring systems, operational data warehousing, financial risk management, and geospatial asset tracking across industries as varied as manufacturing, space, utilities, oil & gas, logistics, mining, ad tech, finance, telecom, and more.

Assembly Line

How We Are Building a Self-Sustaining Open-Source Business in the Cloud Era

📅 Date:

🔖 Topics: Open Source

🏢 Organizations: Timescale


Back in 2018, Timescale first announced how we planned to build a self-sustaining open-source business in the cloud era and that we had started developing features under a new, source-available license called the Timescale License (TSL). At the time, the TSL was a radical idea: a source-available license that was open-source in spirit but that contained a main restriction: preventing companies from offering software licensed under the TSL via a hosted database-as-a-service.

The TSL, like the Elastic License before it and the Confluent Community License (coincidentally launched around the same time), are examples of what we call “Cloud Protection Licenses.” These licenses attempt to maintain an open-source spirit but recognize that the cloud has increasingly become the dominant form of open-source commercialization.

Read more at Timescale Blog

Exploring Manufacturing Databases with James Sewell

How United Manufacturing Hub Is Introducing Open Source to Manufacturing and Using Time-Series Data for Predictive Maintenance

📅 Date:

🔖 Topics: Manufacturing Analytics, MQTT

🏢 Organizations: Timescale, United Manufacturing Hub


The United Manufacturing Hub is an open-source Helm chart for Kubernetes, which combines state-of-the-art IT/OT tools and technologies and brings them into the hands of the engineer. This allows us to standardize the IT/OT infrastructure across customers and makes the entire infrastructure easy to integrate and maintain. We typically deploy it on the edge and on-premise using k3s as light Kubernetes. In the cloud, we use managed Kubernetes services like AKS. If the customer is scaling out and okay with using the cloud, we recommend services like Timescale Cloud. We are using TimescaleDB with MQTT, Kafka, and Grafana. We have microservices to subscribe to the messages from the message brokers MQTT and Kafka and insert the data into TimescaleDB, as well as a microservice that reads out data and processes it before sending it to a Grafana plugin, which then allows for visualization.

We are currently positioning the United Manufacturing Hub with TimescaleDB as an open-source Historian. To achieve this, we are currently developing a user interface on top of the UMH so that OT engineers can use it and IT can still maintain it.

Read more at Timescale Blog