Helping unleash the life-saving power of smart data
Enabling the high potential of IoT in life sciences
IoT can transform the world of life sciences and, in doing so, radically improves healthcare outcomes. Efficiencies and insights from IoT are already helping to improve lives.
The promise of IoT is more data – and, more importantly, the insights that data brings. Life sciences are now on track to become the fastest-growing segment of the entire IoT market. Annual compound growth of over 15%, no less.1
Today, life science professionals have many data points at their fingertips and with the right tools can speed up innovations and discoveries.
The SolutionCrateDB enables organisations to make the most out of the complexity of smart data and can be an integral part of digital innovation across every level of the life sciences value chain, from R&D to manufacturing.
Our distributed database technology improves the flow of information going into data systems, while our next-generation management software optimises the insights delivered.
The design of a time-series database
Best practices for working with time-series data fast, with horizontal scalability, and with SQL.
6 things to know when buying a house (for your data)
Big decisions require big thinking. Before jumping into buying a house for your data — in other words, a database — consider these little tips. Your future self will thank you later.
Time-series data in manufacturing
Interested in industrial time-series? This white paper answers all your questions, diving deep into the topic.
Start your CrateDB experience now
Get started with CrateDB Cloud and launch a 30-day trial cluster.
Designed to handle the complexity of high-end time series workloads in real-time, CrateDB Cloud is a fully managed database-as-a-service. Secured, scaled and operated by the engineers that built CrateDB.
Why CrateDB Cloud?
The power of CrateDB
Fully managed service
Secure in the cloud
CrateDB is the leading open source, distributed SQL database for relational and time‑series data. It combines the familiarity of SQL with the scalability and data flexibility of NoSQL.
SQL for machine data
Industrial time series database
Easy IoT tool integrations