Dallas, [5 June 2025] DataNimbus, a leading provider of AI-powered products and solutions, has officially joined the Databricks ecosystem as a validated Technology Partner. This milestone follows the successful validation of DataNimbus Designer—our visual, no-code ETL and AI orchestration product built natively on Databricks.
The validation process assessed Designer’s integration with core Databricks components including Unity Catalog, Notebooks, and Workflows, reinforcing both its technical innovation rigor and enterprise readiness. It reaffirms DataNimbus’ commitment to helping organizations modernize beyond legacy data systems and operationalize AI using the full potential of the Databricks Data Intelligence Platform.
With more than 35 global partners, DataNimbus empowers organizations across verticals, including industrial, healthcare, finance, and hi-tech, by building scalable, modern data and AI solutions. By integrating with Databricks tools, DataNimbus builds data-driven applications such as Demand Forecasting, Financial Planning and Analysis, Enterprise Document Management, Customer 360 platforms, LLM-powered insight engines, and automated decision systems, enabling customers to accelerate their AI journey with precision and control.
“At DataNimbus, we share Databricks’ vision of democratizing access to AI,” said Todd Eichler, VP of Solution Engineering and Sales at DataNimbus. “This partnership is a meaningful validation of our shared commitment to innovation and a recognition that our technical standards align with Databricks’ expectations.”
DataNimbus Designer is a visual, no-code pipeline builder that integrates natively with Databricks. Designer brings together, an intuitive drag-and-drop interfaces, a growing marketplace of prebuilt connectors and reusable blocks, and seamless integration with Unity Catalog, making it simple to build, monitor, and scale ETL/AI workflows entirely within the Databricks workspace. It addresses a key gap in the Databricks ecosystem, streamlining visual workflow design and accelerating pipeline creation without sacrificing control or flexibility. The platform reduces compute costs, and delivers up to 4x developer productivity, all within Databricks’ secure and governed environment.
What This Means for Databricks and DataNimbus Customers
Together, DataNimbus and Databricks provide a unified, governed, and scalable approach to operationalizing AI and data engineering, bridging the gap between code-centric workflows and intuitive visual orchestration and allowing companies to reduce both time-to-market and cost of ownership.
Customers currently using DataNimbus + Databricks have reported up to 50% faster pipeline development, 2x quicker insight generation, and significant reductions in operational complexity. With this validation, both new and existing users can be confident that DataNimbus solutions meet Databricks’ technical and strategic standards.
What sets DataNimbus Designer apart:
- Databricks-native architecture — Compute runs entirely within the Databricks environment, with full support for Unity Catalog and 1:1 mapping with Databricks Workflows.
- Ease of use meets engineering depth — No-code for analysts, bring-your-own-code (SQL, PySpark) for developers, and built-in debugging for faster production deployment.
- Flexible and modular — Marketplace of pre-built and customizable blocks, tailored for industry-specific use cases and internal systems.
Transparent pricing — Fixed pricing model based on production designs, eliminating surprises and simplifying scale.
As a validated Databricks partner, DataNimbus is uniquely positioned to help enterprises accelerate their journey from data to AI, without compromising on governance, performance, or flexibility. For more information about DataNimbus Designer or to schedule a demo, visit here.
About DataNimbus
DataNimbus is an AI products and services company that helps enterprises modernize legacy systems by building Databricks-native applications. With a focus on performance, reusability, and intelligent automation, DataNimbus unlocks the full potential of data and AI for global enterprises.
