Databricks Select Partner for Data + AI
As a proud Databricks Select Partner, we help enterprises harness the power of the lakehouse platform for data and AI. Through our BladeBridge partnership, we streamline legacy code migration to Databricks, enabling faster, seamless modernization.
Our Competencies
Migration Routes to Databricks
We accelerate ETL and SQL migrations to Databricks using configurable conversion routes. From Informatica, DataStage, and Talend to Oracle, Teradata, and Snowflake, we modernize legacy systems into Databricks PySpark/SQL or integrate with external orchestration layers.
Data Strategies
We bridge the gap between business and technical stakeholders by mapping critical data elements to consumer needs. Our facilitated sessions establish a shared language, ensuring data is delivered with context, clarity, and accountability.
Medallion Architecture Design
We design optimized Medallion Architectures on Databricks, ensuring data moves seamlessly from raw to actionable. Our approach delivers performance-ready insights at the right grain, balancing efficiency with cost-effectiveness to maximize business value.
Strategy to Execution
We help organizations deploy data as a strategic asset, embedding cultural change and best practices. With CI/CD automation and co-execution, we ensure smooth adoption, reliable delivery, and long-term success of Databricks data projects.
Databricks Partner Credentials & Specializations
As a Databricks Brickbuilder member, Ness is a certified and trusted partner for accelerating the migration of legacy ETL and EDW to Databricks. This certification guarantees that Ness provides proven solutions and accelerators that de-risk migration decisions while enabling businesses to modernize, standardize, optimize, and transform their legacy business logic into cloud-native architectures.
With this validation, Ness stands as an industry leader, recognized for its expertise in best practices that prepare customers for the future. By leveraging Databricks, Ness empowers businesses to unlock the full potential of their data, drive innovation, and maximize value for all stakeholders.
Case Studies
Data Modernization Trends for the AI Era: A 2026 Guide
Key Takeaways: The corporate narrative around digital transformation has hit a hard wall. For years, enterprises treated data modernization as an…
Data Governance Maturity Model: A Practical 2026 Assessment Guide
Most enterprises don’t have a governance problem. They have a trust problem. For years, organizations treated data governance as a compliance…
How to Choose a Salesforce Product Development Outsourcing Partner?
Key Takeaways: Most Salesforce partners can implement Salesforce. Very few can build a commercial-grade AI product on Salesforce.
Snowflake Consulting Services: Detailed Breakdown
The market for Snowflake consulting services is divided into two camps. The first still sells migration. The second sells business outcomes.
Cloud Modernization Strategy: A Business-First Roadmap to AI Readiness
Most cloud modernization programs fail for a simple reason: they modernize technology without modernizing business capability. Boards approve multi-million-dollar cloud investments…
Data Modernization Strategy: 7 Pillars for AI Readiness
In 2026, the honeymoon phase of enterprise AI is over. Boards no longer want proofs-of-concept. They want measurable business outcomes. CEOs…
Let’s Engineer What’s Next. Together.
Partner with us to build intelligent solutions faster and smarter — we’re ready when you are.