Move your data from Looker with your free account
Capture data from Looker and deliver it to your destinations using Estuary's pre-built connectors. Build pipelines for real-time, incremental, or batch data movement based on connector capabilities.
- <100ms to batch
- 200+ connectors
- Managed data pipelines
Looker connector details
Estuary’s Looker connector captures metadata and configuration data from Looker via the Looker API, allowing you to analyze dashboards, models, and user permissions in data collections. It provides scheduled syncs of Looker assets to support governance, auditing, and analytics visibility.
- Captures dashboards, folders, users, roles, and LookML models
- Uses Looker API credentials (Client ID and Secret) for authentication
- Supports configurable sync intervals for periodic updates
- Ideal for metadata management and analytics observability
How to connect Looker to your destination in 3 easy steps
- 1
Connect Looker as your data source
Securely connect Looker and choose the objects, tables, or collections you need to sync.
- 2
Prepare and transform your data
Apply transformations and schema mapping as data moves whether you are streaming in real time or loading in batches.
- 3
Deliver to your destination
Continuously or periodically deliver your data to the destination you choose, based on the capabilities and configuration of your pipeline.
Trusted by data teams worldwide
All data connections are fully encrypted in transit and at rest. Estuary also supports private cloud and BYOC deployments for maximum security and compliance.
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HIGH THROUGHPUT
Distributed, event-driven architecture scales for demanding data workloads.
DURABLE COLLECTIONS
Store data as it moves so you can transform, replay, and deliver it downstream.
FLEXIBLE LATENCY
From <100ms CDC and real-time streaming to scheduled batch, depending on connector capabilities.
From <100ms to batch
Estuary supports CDC, real-time streaming, incremental syncs, and scheduled batch across its connector ecosystem. Capture data from Looker using the cadence supported by the connector, then transform and deliver it to the destinations your team uses.
- Connect Looker to warehouses, databases, data lakes, search platforms, and event systems through Estuary-supported destinations.
- Capture once and reuse Looker data across transformations and multiple downstream destinations without rebuilding source extraction.
See where you can send Looker data:
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Pipelines as fast as Kafka, easy as managed ELT/ETL, cheaper than building it.
Feature Comparison
| Estuary | Batch ELT/ETL | DIY Python | Kafka | |
|---|---|---|---|---|
| Price | $ | $$-$$$$ | $-$$$$ | $-$$$$ |
| Latency | <100ms to scheduled | 5min+ | Varies | <100ms |
| Ease | Analysts can manage | Analysts can manage | Data Engineer | Senior Data Engineer |
| Scale | ||||
| Maintenance Effort | Low | Medium | High | High |
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