Accelerate data into Databricks

Built to help data and analytics teams deliver on data integration demands at the speed of today's business

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Leading brands rely on Precog

Data and analytics teams choose Precog with Databricks

Maximize your Databricks investment with Precog's adaptive, intelligent data ingest platform. Power reporting, predictive analytics and agentic AI with organization-wide, semantically rich data without custom code or manual intervention.

Scale and speed

Easily scale connections to any SaaS API, including notoriously difficult enterprise apps, to get data fast

Analytics and AI-ready

Precog extracts complex data formats and normalizes them into SQL and AI-ready structures

Centralized management

Connect and manage all your data flows and monitor history and health from a single, unified platform

All your data directly in Databricks

Unlock the power of Databricks' Data Intelligence Engine with business-critical data from applications across the entire organization.

Make better decisions with complete data

Customer 360

Unify CRM, marketing, and support systems for complete visibility

Supply chain & procurement

Integrate SAP Ariba, Coupa, and other ERP data for real-time insight

Employee 360

Connect HR, finance, and IT to understand workforce trends

Compliance & audit

Trace lineage and relationships automatically across every dataset

Financial planning & analysis

Give CFOs real-time dashboards by harmonizing data from disparate systems

Inventory & WMS optimization

Improve visibility and efficiency across manufacturing, warehouse, and distribution

“Once you add this information together, it opens up a whole new level of reporting that gives [the business teams] insight… you could see all of the transactional data and where that root dollar came from.”

Chad Gilleland, IT Manager

Pink Lily

Integrate any SaaS API into Databricks

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News

Our latest articles & insights

Challenges of Manually Coding ETL Connectors for Application APIs

Whether a company builds ETL connectors in-house or relies on a third-party vendor, the challenges remain the same: it’s time-consuming, error-prone, and inefficient.

Biamp’s journey to AI- and ML-powered insight

The following conversation is with Mark Oakley, Enterprise Application engineer at Biamp, Chris Griffith, CEO, of StarPoint Technologies...

Three steps to improve warehouse capacity modeling

Accurate warehouse capacity modeling is a critical function of supply chain leaders. Read the top considerations and steps needed to improve.

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Stop wrestling with data integration and start delivering insights

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