Where Database Monsters Connect!

MongoDB vs ScyllaDB: Tractian’s Experience with Real-Time ML

8 minutes
Discover the latest trends and best practices impacting data-intensive applications. Register for access to all 30+ sessions available on demand.
Enter your email to watch this session from the ScyllaDB Summit 2024 livestream. You’ll also get access to all available recordings

In This NoSQL Presentation

Tractian, an AI-driven industrial monitoring company, recently discovered that their real-time ML environment needed to handle a tenfold increase in data throughput. In this session, JP Voltani (Head of Engineering at Tractian), details why and how they moved to ScyllaDB to scale their data pipeline for this challenge. JP compares ScyllaDB, MongoDB, and PostgreSQL, evaluating their data models, query languages, sharding and replication, and benchmark results. Attendees will gain practical insights into the MongoDB to ScyllaDB migration process, including challenges, lessons learned, and the impact on product performance.

JP Voltani, Director of Engineering, Tractian

JP Voltani is the Director of Engineering at Tractian.

ScyllaDB Summit 2024

What’s next for data-intensive applications

MongoDB vs ScyllaDB: Tractian’s Experience with Real-Time ML

8 minutes
Discover the latest trends and best practices impacting data-intensive applications. Register for access to all 30+ sessions available on demand.
Enter your email to watch this session from the ScyllaDB Summit 2024 livestream. You’ll also get access to all available recordings
<iframe style="border: 1px solid #CCC; border-width: 1px; margin-bottom: 5px; max-width: 100%;" width="595" height="485" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" allowfullscreen="allowfullscreen" class="optanon-category-C0003 " src="https://www.slideshare.net/slideshow/embed_code/key/upHcH9y6quPNhc” data-lf-form-tracking-inspected-laxoeakwmyoaoygd=”true” data-lf-yt-playback-inspected-laxoeakwmyoaoygd=”true” data-lf-vimeo-playback-inspected-laxoeakwmyoaoygd=”true” data-gtm-yt-inspected-12=”true”>
<iframe style="border: 1px solid #CCC; border-width: 1px; margin-bottom: 5px; max-width: 100%;" width="595" height="485" frameborder="0" marginwidth="0" marginheight="0" scrolling="no" allowfullscreen="allowfullscreen" class="optanon-category-C0003 " src="https://www.slideshare.net/slideshow/embed_code/key/upHcH9y6quPNhc" data-lf-form-tracking-inspected-laxoeakwmyoaoygd="true" data-lf-yt-playback-inspected-laxoeakwmyoaoygd="true" data-lf-vimeo-playback-inspected-laxoeakwmyoaoygd="true" data-gtm-yt-inspected-12="true">

In This NoSQL Presentation

Tractian, an AI-driven industrial monitoring company, recently discovered that their real-time ML environment needed to handle a tenfold increase in data throughput. In this session, JP Voltani (Head of Engineering at Tractian), details why and how they moved to ScyllaDB to scale their data pipeline for this challenge. JP compares ScyllaDB, MongoDB, and PostgreSQL, evaluating their data models, query languages, sharding and replication, and benchmark results. Attendees will gain practical insights into the MongoDB to ScyllaDB migration process, including challenges, lessons learned, and the impact on product performance.

JP Voltani, Director of Engineering, Tractian

JP Voltani is the Director of Engineering at Tractian.