CERNARI VS GLEAN · ENTERPRISE SEARCH

Different problem. Respectfully different tool.

Glean is excellent at on-demand retrieval across documents, Slack, Drive and wikis. Cernari does something different — it watches operational systems continuously and emits proactive signals.

Glean

Enterprise search

What they do well

Indexes unstructured knowledge across documents, chat, drives, wikis. Strong personalization. Answer-with-citation.

Where the shape ends

Reactive — you have to ask. Optimized for knowledge workers who already know what to look up. Less suited to time-series operational watch.

Cernari

Operational Intelligence Engine

Where Cernari fits

Cernari is the proactive, cross-system, operational layer above your data foundation. It watches Fabric / Snowflake / Databricks / BigQuery semantic models — not document blobs.

Glean retrieves what exists; Cernari signals what is emerging.
Glean works on documents; Cernari works on operational time-series.
Different sales motions, different buyers, fully compatible.

When to use Glean

When your problem is "I cannot find the document / decision / answer that already exists somewhere."

When to use Cernari

When your problem is "I will not know to ask, but the system should have told me."

Compatible alongside each other?

Yes — many enterprises run Glean for knowledge retrieval and Cernari for operational signal. No category overlap.

See Cernari on your foundation.

30-minute walkthrough on your Fabric, Snowflake, Databricks or BigQuery workspace. We respect your existing stack — Cernari adds the proactive operational layer the others don't.

Book a demo All surfaces