System/Integrations/Integration
Databricks
Data warehouse
Usage data that never leaves the lakehouse never reaches the rep who needs to see it before the call. Databricks holds the raw event and usage data teams land there, and Revenue Labs reads it and ties activity to the right account and deal.
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From source record to operating state
01 | The tool on its own
Tables, files, and notebooks in one lakehouse.
↓
02 | With AI bolted on
Genie answers questions over governed data.
↓
03 | A system that learns
Lakehouse data becomes live state.
The tool alone > AI bolted on > AI-native
What changes when Databricks feeds a system that learns
Three jobs Databricks already does, and what each becomes when its evidence joins live company, contact and deal state.
01 | The tool on its own
02 | With AI bolted on
03 | AI-native
Lakehouse tables
Tables, files, and notebooks in one lakehouse.
Databricks stores tables, files, and notebooks in a lakehouse. Data teams still define schemas, permissions, and usable joins.
Genie answers questions over governed data.
Genie answers within Databricks and depends on the supplied data model. The result is not resolved to a live deal across the stack.
Lakehouse data becomes live state.
Lakehouse usage, product, and pipeline evidence is associated with its matching company, contact, or deal.
SQL and notebooks
SQL and notebooks turn raw data into analysis.
SQL editors and notebooks let teams query and reshape data. The analyst still checks the query and decides which output matters to revenue.
Genie Code assists with SQL and code.
Generated queries remain an analyst's draft inside Databricks. They do not change the reasoning used by every capability.
Queries feed deal context.
The resulting signal sits beside conversations, support, and stages, where the next capability can use it without rebuilding the join.
Governance and lineage
Ownership, lineage, and access rules travel with data.
Governed tables carry ownership, lineage, and access rules. A data owner still defines business meaning and reviews exceptions.
Genie explains a result in natural language.
Query explanations stay tied to governed tables and the query. They are not checked against closed-deal results.
Closed deals show which rows matter.
Closed outcomes are compared with warehouse evidence that preceded them, while the source remains read-only.
Runs on it
Capabilities that act on connected evidence
BUILT FOR SECURITY, CONTROL AND SCALE
Connect data securely, capture every agent's activity, and enforce permissions with ease.
Learn about our security →CERTIFIED + COMPLIANT WITH:
ISO 27001:2022
GDPR
CCPA
Data Protection Act 2018
The GTM teams that learn fastest will win.
Connect your stack to a system that learns.