Industrial IoT data is getting harder to manage. More sensors. More data types. More operational decisions that cannot wait for a batch window. And most databases — built for a different era — are not keeping up.
In this session, Dr. Johannes Held, Principal at Dataciders, joins Gregor Bauer, VP of Customer Engineering at CrateDB, for a direct conversation about what breaks in production, why high-cardinality time-series data is the hardest problem to solve, and how Dataciders is solving it for industrial clients today.
Topics include:
- Why classic architectures fail at data volume and variety — and what the failure looks like in practice
- How CrateDB handles high-cardinality time-series data without pre-aggregation or proprietary query languages
- What drop-in PostgreSQL compatibility means for real-world adoption speed
- How to keep a database that scales as requirements change — without a migration project every three years
- Data sovereignty and European deployment considerations for regulated industrial environments