Orbit Analytics, a recognized provider of AI-driven enterprise reporting and analytics for Oracle applications, has announced a strategic partnership with Databricks, the Data and AI company, aimed at delivering faster, smarter, and more unified data intelligence for enterprises worldwide.
Through this collaboration, the Databricks Data Intelligence Platform is combined with Orbit Analytics’ direct-connect integration capabilities for Oracle Fusion, Oracle E-Business Suite (EBS), and other ERP environments. As a result, organizations can gain governed, timely insights across financial, operational, and strategic data while significantly reducing both implementation timelines and overall costs. Instead of dealing with fragmented systems, enterprises can now streamline analytics workflows across complex ERP landscapes.
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According to Rupesh Sharma, CEO of Orbit Analytics, this partnership directly addresses a growing enterprise challenge. “Modern enterprises face a critical challenge: unlocking near-real-time insights from complex ERP environments,” said Rupesh Sharma, CEO of Orbit Analytics. “By joining forces with Databricks, we’re simplifying that process. Customers can now use a single, scalable platform to unify ERP reporting, advanced analytics, and AI-driven decision making without the traditional data silos or latency that slow business responsiveness.”
As part of the collaboration, Orbit Analytics is introducing Data Pipelines, a purpose-built, ERP-aware pipeline framework designed to land curated ERP data directly into Delta Lake. Additionally, the framework ensures end-to-end governance through Unity Catalog, Databricks’ open and unified governance solution for data and AI. Consequently, data teams can move from source systems to analytics-ready tables in hours or days rather than weeks or months, all without stitching together multiple tools or custom integrations.
Moreover, customers will benefit from native integration with the Databricks Data Intelligence Platform. This allows teams to seamlessly ingest, transform, and analyze ERP data using SQL, Python, and AI models. At the same time, organizations can leverage Lakeflow Spark Declarative Pipelines, Unity Catalog, and AI/BI capabilities to extend Orbit Analytics’ prebuilt data models and modernize enterprise reporting at speed.
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The partnership delivers several advantages to joint customers, including native integration across Oracle ERP systems, Orbit Analytics, and Databricks; automated ERP data ingestion and transformation pipelines; enhanced AI-driven forecasting, anomaly detection, and financial planning; reduced total cost of ownership compared to traditional data warehouse architectures; and faster reporting deployments using Orbit’s prebuilt analytics templates.
A real-world example of this impact comes from the Metropolitan Atlanta Rapid Transit Authority (MARTA), one of the largest public transit agencies in the United States, serving more than 65 million passengers annually. MARTA needed to consolidate data from multiple systems, including Oracle Fusion ERP and HCM.
“One of the major challenges we faced was extracting data from Fusion ERP into Databricks using PVOs,” said Madhu Chava, Cloud Solutions expert, MARTA. “We onboarded Orbit Analytics, which has greatly simplified this process. The tool enables us to build pipelines seamlessly, extracting data from Oracle Fusion into Databricks. It is very user-friendly, significantly reduces development effort, and provides a wide range of source and destination adapters.”
Overall, the partnership between Orbit Analytics and Databricks highlights a shared commitment to helping enterprises transform ERP data into actionable business value faster, smarter, and at enterprise scale.
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