Databricks
The database your AI agents deserve
- Data & Analytics
About Databricks
A unified analytics platform for data engineering, data science and data analytics. Data teams use it to build data pipelines, run large scale analytics and collaborate on notebooks. It holds enterprise data and artifacts including notebooks, pipelines and models, and access controls are essential to protect privacy and comply with regulations.
What Cakewalk Does With Databricks
Govern who on your team and which agents can access Databricks. Databricks connects to Cakewalk as an agent platform and accesses every connected app through one gateway address. Each action runs as the person who triggered it, checked against policy with an audit record.
Integration Capabilities
Databricks connects to Cakewalk through a single gateway address. From there it accesses the company's connected apps, with each request scoped to the person using it and checked against policy.
Use Cases
| Use Case | Description |
|---|---|
| One Security Layer for Every AgentAgent Platform | Connect Databricks once and it joins the same governance layer as every agent platform your team runs, under one audit log and policies you tune by person, app and action. |
| Each Person Gets Their Own AccessAgent Platform | When several people use Databricks, each one's agent acts with that person's own permissions, never a shared account. The same agent gives each person only the access they already have. |
