Create beautiful data with MariaDB SkySQL and Apache Zeppelin
See how easy it is to use containers to integrate BI tools with your MariaDB SkySQL database. Here we walk through using Apache Zeppelin to integrate with SkySQL to visualize your data (row-based or column-based) using a variety of tables, graphs and charts.
See Columnar Storage for Analytics in Action and Get an Overview of MariaDB Community Server 10.5
MariaDB Community Server 10.5 adds ColumnStore as a pluggable storage engine, making analytics available to millions of users for free. See why columnar storage is so fast and useful for analytics, and how to configure it.
Updated MariaDB Images Available on Docker
The 10.5 release of MariaDB Community Server which includes ColumnStore columnar storage engine is now available as an image on […]
How to connect Python programs to MariaDB
We previously blogged about using Python to connect to MariaDB servers using the MySQL Python package. In June 2020, MariaDB […]
Getting Started with MariaDB SkySQL and Smart Transactions
MariaDB SkySQL is the only database-as-a-service (DBaaS) that supports transactions, analytics and smart transactions (HTAP) for MariaDB. For developers, this […]
Installing MariaDB Server on Mac OS X with Homebrew
Back in 2016, we blogged about deploying MariaDB 10.1.16 on Mac OS X with Homebrew. Homebrew now includes MariaDB 10.4, […]
Create beautiful data with MariaDB SkySQL and Apache Zeppelin
This blog post was refreshed in July 2020 to reflect the latest version of Apache Zeppelin 0.9.0. Read the latest […]
Getting Started with MariaDB SkySQL for Analytics
MariaDB recently announced SkySQL, the first DBaaS (database-as-a-service) to unlock the power of the MariaDB Platform. You’re likely familiar with […]
Launching an Application with MariaDB SkySQL
Today we announced the immediate availability of MariaDB SkySQL, the first DBaaS (database-as-a-service) to unlock the full power of MariaDB […]
Part 2: Image Classification with MariaDB Server and TensorFlow – a Tutorial
Formatting the Data for TensorFlow Part 1 of this blog series demonstrated the advantages of using a relational database to […]