The rapid evolution of data and AI can make it hard to keep up. However, navigating this landscape with the right partners makes all the difference. With Databricks, Hexaware helps simplify your enterprise’s journey from data to intelligence, ultimately driving business impact.
At the Databricks Data+AI Summit 2025, a host of strategic insights on the platform’s new features were unveiled for everyone in enterprise analytics. Whether you’re a business analyst, data engineer, data scientist, data leader, or executive, Databricks’ latest innovations are designed to make your work easier and more impactful.
As a sponsor of the summit, here’s a recap on how enterprises can use the new Databricks features in data platform modernization initiatives and adopt AI analytics at scale—ensuring fast integration and better value from enterprise analytics.
Business Analysts and Executives: Easier, Reliable Dashboards and Insights
If you’re a Business Analyst, or if you need insights to put things in motion, you’ll love how Databricks is making it easier to get the answers you need without waiting for technical teams. Business Analysts and executives often face delays waiting for technical teams to prepare data or build dashboards. The new tools aim to make your life easier by putting the power of data directly in your hands.
Databricks One
This code-free workspace lets you query data and create dashboards without writing a single line of SQL. Imagine asking questions like, “What drove Q3 revenue growth?” and getting real-time, governed answers. It’s all about empowering you for faster data-driven decision-making without relying on engineers. Learn more about Databricks One here.
Unity Catalog Metrics
Consistency is key in data governance! This feature ensures that everyone in the enterprise uses the same definitions for metrics like “customer churn.” No more conflicting reports, just trusted, reliable data for your analysis. Learn all about Unity Catalog Metrics here.
Data and AI Engineers: Faster Ways to Simplify, Automate, and Scale
Data and AI engineers are the backbone of any data-driven enterprise, but managing pipelines, migrations, and architecture can be tedious. Data Engineers, your life just got a whole lot easier. Databricks introduced tools to streamline data workflows and reduce manual effort.
Databricks Lakeflow
Building ETL pipelines just got easier. Lakeflow Connect revolutionizes data ingestion by offering a point-and-click interface to seamlessly connect to a wide range of data sources. Learn more about Databricks Lakeflow here.
Lakeflow Designer
Also, with Lakeflow, you can define pipelines declaratively. Lakeflow Designer offers a no-code, drag-and-drop interface. This means you can visually design data ingestion and transformation flows, automate orchestration, and reduce bottlenecks. Learn more about Lakeflow Designer here.
Lakebridge
Migrating from legacy data warehouses to Databricks can be a daunting task, but Lakebridge automates up to 80% of the process. It handles schema translation, SQL conversion, and validation, so you can focus on optimizing the new environment rather than slogging through manual tasks. Learn more about Databricks Lakebridge here.
Lakebase
By unifying transactional and analytical workloads, Lakebase provides real-time insights into operational efficiency and other key metrics. It eliminates complex, custom ETL pipelines and ensures transactional data is integrated into analytics and AI-driven applications, allowing you to make faster, more informed decisions. Learn more about Lakebase here.
Data and AI Scientists: Cost-friendly Experimentation, Optimization, and Governance
Data Scientists thrive on experimentation, but budget constraints and lifecycle management challenges can slow you down. Databricks introduced tools to help you innovate faster and manage AI workflows more effectively.
Agent Bricks
Agent Bricks accelerates AI adoption, driving innovation and competitive advantage. Agent Bricks automates the creation of AI agents for tasks like data extraction or decision support, optimized for enterprise data with minimal setup. Learn more about Agent Bricks here.
MLflow 3.0
Managing AI pipelines can be tricky, especially with generative AI. MLflow 3.0 unifies traditional ML, deep learning, and GenAI development in a single platform, eliminating the need for separate specialized tools. It introduces features like prompt registries and agent observability, giving you full control over AI lifecycle management. Track prompt versions, monitor performance, and reduce issues like hallucinations—all in one place. Learn more about MLFlow 3.0 here.
Data Community: Access for Everyone to Databricks for Free
Last but not least, the Databricks Free Edition is designed to benefit the entire data community, including those outside traditional technology careers. This no-cost, serverless workspace is perfect for anyone curious about data and AI, providing access to advanced tools without financial or infrastructure barriers.
From students to researchers and innovators, it’s an incredible resource for skill-building and hands-on learning. They can explore machine learning, analytics workflows, and more, gaining experience with industry-grade technology for free. It’s like having a personal lab to test ideas, run experiments, and prototype solutions.
Databricks is fostering a culture of exploration and learning across diverse communities. This is a step forward in ensuring that anyone, regardless of their background, can contribute to and benefit from the evolving world of data and AI.
Databricks Data to Intelligence with Hexaware
The Databricks Data+AI Summit 2025 truly delivered something for everyone. Whether you’re analyzing data, building pipelines, experimenting with AI, or making strategic decisions, these new tools are designed to make your work more efficient and impactful.
So, which feature are you most excited to explore? Let’s get started!
