The Challenge
Your business stack is diverse—CRM, marketing automation, customer success tools, finance platforms, and custom applications all need data. Looker sits at the center as your analytics layer, but getting data from Looker into other systems typically requires:
- Manual data exports — CSV downloads that go stale immediately and require re-exporting
- Custom API development — Engineering time spent building and maintaining bespoke Looker API integrations
- Expensive ETL tools — Data pipeline infrastructure that adds cost and complexity
- Delayed sync cycles — Batch processes that mean downstream tools always work with yesterday’s data
The result is a fragmented data ecosystem where every tool has a different version of the truth—and your engineering team spends significant time on data plumbing instead of product development.
The Autohive Solution
Autohive’s GoogleLooker integration acts as the connective layer between your Looker instance and every other tool in your stack. By programmatically accessing your LookML models and executing queries within automated workflows, you can push the right data to the right place at the right time—no custom development required.
Programmatic Model and Query Access
Access your LookML models, explores, dimensions, and measures directly from workflows. Build cross-platform pipelines that pull data from Looker and push it into any connected tool—CRM records, marketing segments, financial dashboards, or custom applications.
Real-Time Data Sync
Replace batch export cycles with event-driven data flows. When a trigger fires—a CRM update, a form submission, a scheduled time—Autohive queries Looker and delivers fresh results immediately to downstream systems.
No-Code Pipeline Building
Build cross-platform data pipelines using Autohive’s workflow builder without writing Looker API code. Marketing teams can pull customer cohort data. Sales operations can retrieve forecasts. Product teams can embed analytics without direct Looker API expertise.
Benefits
- Eliminate manual exports — Replace CSV downloads with automated, real-time data flows
- Reduce engineering burden — Build data pipelines without custom API development
- Fresh data everywhere — All connected tools work from current Looker data, not stale exports
- Single source of truth — Looker remains the canonical data layer; downstream tools consume from it automatically
- Faster integration — Connect Looker to new tools in hours, not weeks
How It Works
- Identify your data flow — Determine which Looker data needs to reach which downstream tools and when
- Build your workflow — Use Autohive’s workflow builder to define the trigger, query, and destination
- Configure the query — Specify the LookML model and explore, or write a raw SQL query for the data you need
- Map to destination — Connect the query output to your CRM, marketing platform, or custom application
- Deploy and monitor — Activate your pipeline and track data flow across your entire stack in real time
Getting Started
- Sign up at app.autohive.com
- Connect the GoogleLooker integration from the marketplace
- Connect your other business tools (CRM, marketing platform, etc.)
- Build a cross-platform workflow using Looker as your data source
- Deploy your agents and let data flow automatically across your stack
Powered by the GoogleLooker Integration on Autohive


