Turning the IIoT into reality: why the industry needs a specialized database
Many Industry 4.0 projects fail... But which are the real problems? And how can we make it work?
CrateDB Cloud on Azure: datasheet
Deploy within minutes, scale without limits, and pay-as-you-go. Purpose-built for putting your IoT data to work, no matter its size.
What is Machine Learning and why is it important for the industry?
Machine learning is the future of manufacturing... It is key to understand why.
6 things to know when dating a database
Your relationship with your database is key to building a happy future. Before committing to your database partner, there are some points you should consider... Your future self will thank you for it.
Time-series data: why manufacturers should care?
Why manufacturers should care about their time-series databases, right now.
CrateDB in a nutshell: 10 quick facts about CrateDB
Get introduced to our database with this short article!
Our technical promises
Even if we are constantly evolving, we will always stick to the values that made us build CrateDB in the first place.
CrateDB vs time-series databases
A short article outlining the characteristics of CrateDB in comparison with some of the most popular time-series databases.
Building IoT applications with open-source tools
Learn how to build IoT applications using an open-source stack: Apache Kafka, Apache Flink and CrateDB.
CrateDB: Technical overview
A detailed description of CrateDB's architecture. Find out more about how CrateDB is built!
From MySQL to CrateDB: migration guide
How to move your data from MySQL to CrateDB, in just a few steps.
Scalability in CrateDB: benchmark
Data showing how CrateDB scales linearly: its performance consistently improves as more nodes are added to the cluster.
CrateDB vs. PostgreSQL: benchmark
How do both databases compare in terms of performance?
CrateDB vs NoSQL
Short article outlining the different characteristics of CrateDB and the NoSQL databases MongoDB and Cassandra.