A lot of O&G projects succeed in the pilot stage and fail in the rollout.

The pilot scope is small: few data sources, short time frames, and simple queries. The rollout is not: more deployments means more tags, longer retention times and more demands on the data. A database that worked at 100 tags/s breaks at 10,000.

One reason for the failures is that PoC conditions rarely stress the data infrastructure. Just like the equipment being sent to the field, every database has a performance envelope, and IIoT systems push three dimensions of it simultaneously:

• Storage: 10,000 tags at 1Hz generates 315 billion rows per year. Data volume grows multiplicatively with tags, frequency, and retention time.
• Ingest rate: Field sensors stream continuously, 24/7. Fall behind once and the backlog rarely recovers before data is lost or the system fails.
• Query degradation: Aggregate queries slow linearly as history grows. Milliseconds at PoC become minutes at production scale.

This on-demand webinar brought to you by Tiger Data and World Oil covers how to map your database performance envelope before deployment, keep an eye on it as the data grows, and how TimescaleDB’s time-based partitioning, columnar storage, and continuous aggregates expand that envelope without adding infrastructure complexity.