Stream data from Marketo to Databricks
Move data from Marketo to Databricks in minutes using Estuary. Stream, batch, or continuously sync data with control over latency from sub-second to batch.
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- 30-day free trial


- 200+Of connectors
- 5500+Active users
- <100msEnd-to-end latency
- 7+GB/secSingle dataflow
How to integrate Marketo with Databricks in 3 simple steps
Connect Marketo as your data source
Set up a source connector for Marketo in minutes. Estuary supports streaming (including CDC where available) and batch data capture through events, incremental syncs, or snapshots — without custom pipelines, agents, or manual configuration.
Configure Databricks as your destination connector
Estuary supports intelligent schema handling, with schema inference and evolution tools that help align source and destination structures over time. It supports both batch and streaming data movement, reliably delivering data to Databricks.
Deploy and Monitor Your End-to-End Data Pipeline
Launch your pipeline and monitor it from a single UI. Estuary guarantees exactly-once delivery, handles backfills and replays, and scales with your data — without engineering overhead.

Marketo connector details
Designed for marketing teams and data engineers, the Marketo connector from Estuary brings campaign, lead, and engagement data from Marketo into Flow collections. By connecting directly to the Marketo REST API, it ensures reliable synchronization of marketing data for reporting, analytics, and automation.
- Syncs leads, campaigns, programs, lists, and activity data
- Authenticates using Client ID, Client Secret, and Domain URL
- Supports incremental updates from a defined start date
- Built for efficient API-based capture and continuous availability

Databricks connector details
Estuary’s Databricks connector materializes Flow collections into tables in a Databricks SQL Warehouse. Data changes are first written to a Unity Catalog Volume and then applied transactionally to Databricks tables, ensuring reliable delivery of real-time updates. This connector supports both standard merges and delta updates for high-performance CDC workflows.
- Real-time CDC data sync from Flow collections into Databricks tables
- Choice of standard (merge) or delta updates to optimize performance and costs
- Native integration with Databricks Unity Catalog for secure, managed storage
- Flexible sync scheduling to balance freshness and warehouse costs

See how Launchmetrics uses Databricks
Spend 2-5x less
Estuary customers not only do 4x more. They also spend 2-5x less on ETL and ELT. Estuary's unique ability to mix and match streaming and batch loading has also helped customers save as much as 40% on data warehouse compute costs.

Marketo to Databricks pricing estimate
Estimated monthly cost to move 800 GB from Marketo to Databricks is approximately $1,000.
Data moved
Choose how much data you want to move from Marketo to Databricks each month.
GB
Choose number of sources and destinations.
Why pay more?
Move the same data for a fraction of the cost.



Estuary in action
See how to build end-to-end pipelines using no-code connectors in minutes. Estuary does the rest.
What customers are saying
Why Estuary is the best choice for data integration
Estuary combines streaming and batch data movement capabilities into a unified modern data pipeline. This approach simplifies building and operating pipelines like Marketo to Databricks without custom code or orchestration.

Increase productivity 4x
With Estuary companies increase productivity 4x and deliver new projects in days, not months. Spend much less time on troubleshooting, and much more on building new features faster. Estuary decouples sources and destinations so you can add and change systems without impacting others, and share data across analytics, apps, and AI.
Getting started with Estuary
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Make sure you read through the documentation, especially the get started section.
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I highly recommend you also join the Slack community. It's the easiest way to get support while you're getting started.
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Frequently Asked Questions
Is this integration suitable for production workloads?
Yes. Estuary pipelines are designed for production use, with exactly-once delivery semantics, automated backfills, and continuous operation at scale.
Can I control where my data runs and is processed?
Yes. Estuary offers multiple deployment options, including fully managed SaaS, private deployments, and bring-your-own-cloud (BYOC). This allows teams to control where their data plane runs and meet security, compliance, and networking requirements. Learn more about Estuary's security and deployment options.
Can I build this Marketo to Databricks integration manually?
Yes, it's possible to build a manual pipeline using custom scripts, scheduled jobs, or open-source tools. However, manual approaches typically require ongoing maintenance, custom error handling, schema management, and operational overhead. Estuary simplifies this by providing a managed pipeline with built-in reliability, scaling, and monitoring.
DataOps made simple
Add advanced capabilities like schema inference and evolution with a few clicks. Or automate your data pipeline and integrate into your existing DataOps using Estuary's rich CLI.








































