How-to articles, white papers, webinars, videos and useful links to help you get the most out of CrateDB.
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.
Why does the industrial IoT need its own database?
The IIoT can cause a new manufacturing revolution... But in order to succeed, it requires the right tools.
An introduction to Crate DB Cloud on Azure
Our easily scalable, cost-effective database for industrial IoT and machine data—now built into Azure!
How to succeed in the age of Digital X
A discussion about how to save digitalization projects from failure, reviewing technologies and perspectives.
The Grand Quadrant of powerful databases
Learn about what to look for in the process of selecting the best database for your use-case.
The curious case of time-series data
What are time-series data? Are time series and sensor data the same? We talk about it in this webinar, including a demo on how to create a data pipeline with CrateDB Cloud for data ingestion and visualization.
Industry 4.0: the power of machine data for business success
Machine data is the holy grail of Industry 4.0. We talk about the data challenges in IIoT, and what can we do to tackle them in order to succeed in this new age of industrialization.
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.
Machine learning, time series and CrateDB
CrateDB is a robust database for machine learning and time-series data use cases. In this webinar, we show you why.
Working with CrateDB in the Azure IoT ecosystem
We (proudly) present the advantages of using CrateDB integrated into the Azure ecosystem, both on EDGE and in the Cloud.
Tips for a successful Smart Factory transition
Ready for the Industry 4.0? We discuss best practices for tackling the transformation right from the start—talking about people, technologies, and management.
The design of a time-series database
Best practices for working with time-series data fast, with horizontal scalability, and with SQL.
Working with machine data: SQL or Splunk?
A discussion providing a detailed comparison of SQL vs. Splunk for machine data use cases.
Is the future of NoSQL... SQL?
We believe NewSQL databases like CrateDB deliver the best of the NoSQL and traditional SQL worlds. Why do we think so? Find it out in this webinar!
How to scale your SQL database with Docker
Tips for making sure that your containerized databases are performing at their best.
Migrating to NewSQL: a guide
There is a modern way to deal with real-time machine data use cases. Follow the new path!
Does the IoT deed a specialized data stack?
Check out this discussion about the requirements of IoT use cases and make better decisions for your next data project.
Getting started with CrateDB: sensor data
This webinar explains everything you need to know about how to handle your sensor data with CrateDB. Put them to work!
Getting started with CrateDB: log data
Handling log data with CrateDB? This is the right place to start.
Open Machine Data Analysis Stack
An open machine data analysis stack with Docker, CrateDB & Grafana.