Denodo Earns Databricks Validation for AI and Analytics Integration
Working Together, Both Technologies Enable Greater Trust and Agility for Joint Customers
Denodo, a frontrunner in information administration, introduced that it has achieved the Databricks Validated Partner designation, reinforcing the rising collaboration between the 2 firms to assist enterprises speed up AI and analytics on ruled, trusted information.
The Denodo Platform, a logical information administration answer, underwent rigorous technical validation by Databricks, assessing its compatibility, interoperability, efficiency, and safety alignment with the Databricks Data Intelligence Platform. This included testing integration with Unity Catalog because the governance spine for lakehouse belongings. This technical evaluation confirms that Denodo meets Databricks’ requirements for associate interoperability, giving clients confidence that the 2 platforms work collectively to unify entry to information throughout hybrid and multicloud environments, whereas implementing constant governance and accelerating time-to-insight for AI and superior analytics initiatives.
Denodo and Databricks at the moment serve greater than 150 joint clients globally, empowering enterprises to unlock the total worth of their information by a safe structure comprising a bodily lakehouse optimized by logical information administration and integration that allows sooner, extra assured AI adoption.
“Earning validated associate standing from Databricks displays our continued dedication to delivering worth and belief to our clients,” stated Suresh Chandrasekaran, Executive Vice President at Denodo. “Together with Databricks, we’re serving to organizations modernize their information ecosystems to allow them to use ruled, real-time information to energy agentic AI innovation and obtain higher enterprise outcomes.”
Through this collaboration, joint clients have benefited from:
- Higher ROI: An unbiased analyst (Veqtor8) discovered that firms gained larger returns when combining their information lakehouses with the Denodo Platform.
- Modernized Data Infrastructures: Power AI functions and self-service use circumstances with ruled information drawn from distributed information sources and delivered in actual time.
- AI with guardrails: Retrieval augmented era (RAG) and agentic workflows retrieve solely permitted information utilizing Unity Catalog-governed lakehouse belongings, semantically unified through Denodo’s semantic layer even throughout sources exterior to the enterprise, whereas offering clear lineage.
- One semantic view of all information: Denodo virtualizes ERP and SaaS information, APIs, and on-premises techniques into ruled views that Databricks SQL, notebooks, and ML pipelines can use instantly with out mass lift-and-shift.
- Hybrid and multicloud by design: Keeps information the place it lives – Azure, AWS, GCP, or on-premises, whereas standardizing scalable compute on Databricks. Simplified integration throughout hybrid and multi-cloud environments whereas minimizing information copies.
- Unified governance: Unity Catalog governs lakehouse belongings; Denodo enforces equal insurance policies throughout non-Databricks sources, guaranteeing constant entry and fine-grained information protections.
- Tool selection with out coverage drift: Power BI, Tableau, and different functions join by Denodo to ruled views, whereas Unity Catalog retains lakehouse governance constant.
- Lower value and danger: Fewer brittle pipelines and duplicate datasets, lowered egress, and constant coverage enforcement throughout instruments lowers operational danger.
- Accelerated adoption and phased migration: With a unified semantic view of all information, organizations can instantly construct new workloads inside a semantically unified framework, transfer workloads to the lakehouse in steps, and leverage Denodo to attach lakehouse and exterior information with Unity Catalog-aligned governance as sources and use circumstances develop.
This rising partnership underscores the shared focus of Denodo and Databricks on serving to clients modernize their information architectures and speed up enterprise worth by the mixed energy of the Databricks Data Intelligence Platform and the Denodo Platform. Independent analysis by Veqtor8 discovered that organizations utilizing Denodo alongside their information lakehouses realized information supply 10x sooner and lowered information engineering effort by 75%. Together, Denodo and Databricks present a confirmed basis for trusted, AI-ready information, serving to clients obtain measurable impression with higher agility and decrease value.
“As a part of a research with Veqtor8, I lately evaluated the everyday ROI that firms acquired, once they utilized a logical information administration layer on high of a knowledge lakehouse, and on common, their ROI was a staggering 345% larger,” stated Andrew Milroy, chief analyst at Veqtor8 and lead writer of this research. “This partnership is promising for firms searching for essentially the most superior information administration answer that can be essentially the most cost-effective.”
To be taught extra about how Denodo and Databricks assist organizations unlock the total potential of their information, go to the Denodo web site, and learn our newest joint buyer story.
The submit Denodo Earns Databricks Validation for AI and Analytics Integration first appeared on AI-Tech Park.
