Integration

Run SQL queries and manage jobs on Databricks without exports, scripts, or stale data

With the Databricks integration in Aptlystar, you can:

12 operations0 triggersAuth: api-key

About Databricks

Databricks is a unified data analytics platform built on Apache Spark, providing a collaborative environment for data engineering, data science, and machine learning.

What teams automate with Databricks

Execute SQL queries: Run SQL statements against Databricks SQL warehouses with support for parameterized queries and Unity Catalog
Manage jobs: List, trigger, and monitor Databricks job runs programmatically
Track run status: Get detailed run information including timing, state, and output results
Control clusters: List and inspect cluster configurations, states, and resource details
Retrieve run outputs: Access notebook results, error messages, and logs from completed job runs

How teams use Databricks

Connect to Databricks to execute SQL queries against SQL warehouses, trigger and monitor job runs, manage clusters, and retrieve run outputs. Requires a Personal Access Token and workspace host URL.

Read full documentation

What can you do with the Databricks integration?

What can you do with the Databricks integration? Databricks is a unified data analytics platform built on Apache Spark, providing a collaborative environment for data engineering, data science, and machine learning. Databricks combines data warehousing, ETL, and AI workloads into a single lakehouse architecture, with support for SQL analytics, job orchestration, and cluster management across major cloud providers. With the Databricks integration in Aptlystar, you can: AptlyStar exposes 12 operations so teams can automate end-to-end processes without maintaining brittle scripts.

Automate & integrate Databricks

Compose Databricks with the rest of your stack using visual workflows and agents.

Read & query data

Pull live records, search entities, and keep downstream systems up to date.

Get Statement
List Warehouses
List Jobs
Get Job

Manage lifecycle

Archive, delete, merge, and reconcile records with guardrails and approvals.

Cancel Run

Automate on events

React to webhooks and polling triggers the moment something happens.

Execute SQL
Run Job

Databricks notify & orchestrate

Trigger downstream actions, alerts, and hand-offs when something changes.

Get Run
List Runs
Cancel Run

Databricks analyze & report

Aggregate metrics, export datasets, and feed BI or agent summaries.

Cancel Run
Get Run Output
List Clusters

Databricks automate on events

React to webhooks and polling triggers the moment something happens.

List Clusters
Get Cluster

Build Databricks agents

Ship AI workflows that read, decide, and act on Databricks — with guardrails and human approvals where you need them.

Databricks job runner

Build a scheduled workflow that triggers a Databricks job daily, polls until completion, writes the run status and metrics to a control table, and pages on failure.

Explore templates

Databricks cluster cost guard

Create a scheduled workflow that lists Databricks clusters hourly, flags clusters that are running while idle, and posts a Slack alert with the candidates to shut down so the platform team can reclaim spend.

Explore templates

Databricks notebook scheduler

Build a workflow that runs a parameterized Databricks notebook, captures the outputs as files, and posts the result to a chosen Slack channel for review.

Explore templates

Databricks ML feature freshness

Create a scheduled workflow that runs SQL against Databricks feature tables to check the latest update timestamp per feature, alerts when a critical feature has stale data, and writes the alert details to a tracking tabl...

Explore templates

Databricks model evaluator

Build a workflow that runs a Databricks ML model evaluation job on the latest data, captures the metrics, writes results to a model-registry table, and pings Slack on regression.

Explore templates

Databricks Delta Lake compactor

Create a scheduled workflow that runs OPTIMIZE and VACUUM on Databricks Delta Lake tables weekly, captures the size and performance delta, and writes a maintenance report.

Explore templates

Ready to solve your Databricks integration challenges?

Connect Databricks once, then reuse the same blocks across agents, workflows, and templates.

Start for free Browse templates

Challenges AptlyStar solves

Keep Databricks in sync with the rest of your stack

Teams lose hours copying data between Databricks and CRMs, inboxes, and spreadsheets. AptlyStar connects Databricks to 12+ operations so updates flow automatically.

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Scale Databricks automations without custom glue code

One-off scripts break when APIs change. Use visual workflows, retries, and typed blocks so Databricks automations stay maintainable as you grow.

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Give AI agents secure, scoped access to Databricks

Agents need live Databricks context without over-permissioned keys. Connect credentials once, apply guardrails, and let agents act through audited workflow runs.

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Featured Databricks templates

Ready-to-use workflow templates that include Databricks, just like in the app.

Databricks job runner

Build a scheduled workflow that triggers a Databricks job daily, polls until completion, writes the run status and metrics to a control table, and pages on failure.

Browse templates

Databricks cluster cost guard

Create a scheduled workflow that lists Databricks clusters hourly, flags clusters that are running while idle, and posts a Slack alert with the candidates to shut down so the platf...

Browse templates

Databricks notebook scheduler

Build a workflow that runs a parameterized Databricks notebook, captures the outputs as files, and posts the result to a chosen Slack channel for review.

Browse templates

Databricks ML feature freshness

Create a scheduled workflow that runs SQL against Databricks feature tables to check the latest update timestamp per feature, alerts when a critical feature has stale data, and wri...

Browse templates

Databricks model evaluator

Build a workflow that runs a Databricks ML model evaluation job on the latest data, captures the metrics, writes results to a model-registry table, and pings Slack on regression.

Browse templates

Databricks Delta Lake compactor

Create a scheduled workflow that runs OPTIMIZE and VACUUM on Databricks Delta Lake tables weekly, captures the size and performance delta, and writes a maintenance report.

Browse templates