Dev Q&A

Bringing the digital world to a conservative industry isn’t easy, but Newtrax is successfully doing it by using hypertables in TimescaleDB to prevent human and machine collisions in mines while optimizing profitability.

Read how the analytics company Nodecolytics is making their queries up to six times less costly by using wide tables instead of relational tables in TimescaleDB while ingesting and recording millions of events per day.

Read how United Manufacturing Hub is building an open-source Helm chart for Kubernetes that combines information and operational tools and technologies in the manufacturing field—and why they chose TimescaleDB over InfluxDB to do it.

Data scientist Andrew Engel relies on TimescaleDB and machine learning to build his time-series forecasting side project. The best part? It’s open source. Check out his two libraries so you can start solving time-series problems while quickly generating features directly within your database.

Read (and watch!) how Density is using IoT and TimescaleDB to solve a pressing problem, especially after the pandemic: how can companies with vast square footage optimize their space usage based on data-driven decisions?

Read how TimescaleDB and Grafana are helping ensure that the Wendelstein 7-X fusion reactor is cool enough for further experimentation by the Max Planck Institute for Plasma Physics team.

Known for its Ledger apps development, Zondax struggled to quickly process dozens of terabytes of blockchain data before finding TimescaleDB.

This blog post could almost have been written by the API that our friends at NLP Cloud created. But it wasn’t. 😎 Read how NLP Cloud monitors their API, which allows customers to add language AI to their apps in several programming languages without having to handle MLOps.

Our friends from CloudQuery join us to share how they've set up their data stack to extract, transform, and load cloud assets data into normalized PostgreSQL tables.

Our friends from Trading Strategy join us to share how they’ve set up their data stack to ingest, integrate and analyze data about thousands of crypto assets and smart contracts to power their decentralized trading service.

The authors of Build a Weather Station with Elixir and Nerves book join us to share how they combine Grafana and TimescaleDB to store and visualize IoT sensor data.

The creators of WsprDaemon share how they combine TimescaleDB & Grafana to allow amateur radio enthusiasts to analyze radio transmission data and understand trends - be it their own personal noise levels or much larger space weather patterns.