Going From Transactional To Analytical And Self-managed To Cloud On One Database With MariaDB
Data Engineering Podcast
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Using MariaDB as a Data Architecture Engine?
MariaDB can be used to power analytical workloads or build derived data products. There's just a lot of advantages, I would say, to having it centralized. People will misconstrue because maybe they used it once in college, and maybe they used the old one.
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Summary
The database market has seen unprecedented activity in recent years, with new options addressing a variety of needs being introduced on a nearly constant basis. Despite that, there are a handful of databases that continue to be adopted due to their proven reliability and robust features. MariaDB is one of those default options that has continued to grow and innovate while offering a familiar and stable experience. In this episode field CTO Manjot Singh shares his experiences as an early user of MySQL and MariaDB and explains how the suite of products being built on top of the open source foundation address the growing needs for advanced storage and analytical capabilities.
Announcements
- Hello and welcome to the Data Engineering Podcast, the show about modern data management
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- Your host is Tobias Macey and today I’m interviewing Manjot Singh about MariaDB, one of the leading open source database engines
Interview
- Introduction
- How did you get involved in the area of data management?
- Can you describe what MariaDB is and the story behind it?
- MariaDB started as a fork of the MySQL engine, what are the notable differences that have evolved between the two projects?
- How have the MariaDB team worked to maintain compatibility for users who want to switch from MySQL?
- What are the unique capabilities that MariaDB offers?
- Beyond the core open source project you have built a suite of commercial extensions. What are the use cases/capabilities that you are targeting with those products?
- How do you balance the time and effort invested in the open source engine against the commercial projects to ensure that the overall effort is sustainable?
- What are your guidelines for what features and capabilities are released in the community edition and which are more suited to the commercial products?
- For your managed cloud service, what are the differentiating factors for that versus the database services provided by the major cloud platforms?
- What do you see as the future of the database market and how we interact and integrate with them?
- What are the most interesting, innovative, or unexpected ways that you have seen MariaDB used?
- What are the most interesting, unexpected, or challenging lessons that you have learned while working on MariaDB?
- When is MariaDB the wrong choice?
- What do you have planned for the future of MariaDB?
Contact Info
- @ManjotSingh on Twitter
Parting Question
- From your perspective, what is the biggest gap in the tooling or technology for data management today?
Closing Announcements
- Thank you for listening! Don’t forget to check out our other shows. Podcast.__init__ covers the Python language, its community, and the innovative ways it is being used. The Machine Learning Podcast helps you go from idea to production with machine learning.
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Links
- MariaDB
- HTML Goodies
- MySQL
- PHP
- MySQL/MariaDB Pluggable Storage
- InnoDB
- MyISAM
- Aria Storage
- SQL/PSM
- MyRocks
- MariaDB XPand
- BSL == Business Source License
- Paxos
- MariaDB MongoDB Compatibility
- Vertica
- MariaDB Spider Storage Engine
- IHME == Institute for Health Metrics and Evaluation
- Rundeck
- MaxScale
The intro and outro music is from The Hug by The Freak Fandango Orchestra / CC BY-SA
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