Power scalable, performant, and resilient analytics solutions with Databricks.
While data analytics has become integral to business success across industries today, the business of data has grown equally complex and challenging. Mixed data is created across a variety of sources, and making it analytics-ready requires significant time and effort.
Analytics solutions now require agile architectures that promise performance and velocity by default, while taking care of other processes like quality and governance natively. This is exactly what Databricks does – combining data engineering, analytics, and AI capabilities in one scalable solution, Databricks enables organizations to rapidly modernize and optimize their data ecosystem.
Altysys brings specialized expertise in implementing Databricks to help businesses modernize legacy systems, manage data governance, and run advanced AI solutions to drive accelerated growth with data.
Elevate your analytics outcomes with state-of-the-art data and AI capabilities of Databricks.

Migration to databricks
Migrate from legacy data platforms to Databricks Lakehouse, enabling a data ecosystem that supports every enterprise analytics requirement.
Unity catalog migration
Migrate your existing data to Unity Catalog for centralized metadata management, versioning, and lineage tracking to ensure consistent, secure data access.

Data Modernization
Transform your data architecture with Databricks to exploit cloud-native capabilities, support high-performance analytics and scalable AI solutions.
AI & ML on Databricks
Accelerate AI adoption with Databricks’ integrated tools for machine learning and deep learning like MLflow tracking, model versioning, and automated scaling.
Benefits and Outcomes
Unleash transformative outcomes across Data and AI initiatives with Databricks.
- Enhanced performance: Achieve faster analytics processing by consolidating data on a unified Lakehouse, allowing rapid access to insights and accelerating data-to-decision cycles.
- Reduced governance complexity: Simplify compliance and secure data access with Unity Catalog, reducing data governance overheads.
- Scalable AI and ML capabilities: Leverage integrated tools like MLflow and scalable infrastructure to easily manage large-scale AI and machine learning projects.
- Centralized data management: Streamline operations and eliminate data silos with a centralized platform, fostering consistency and accuracy across all data assets.
- Cost-efficient modernization: Minimize costs by transitioning to cloud-native, serverless architecture that eliminates infrastructure management burdens.
- Enhanced collaboration: Enable seamless collaboration across teams by providing a unified environment for data engineering, analytics, and AI.
Ready to upgrade your analytics outcomes with Databricks?
Our Data and AI experts are ready to help.