Accelerate Data Innovation with Dataplatr: Your Trusted Databricks Consulting Partner

Innovation starts with data, and Dataplatr makes that innovation faster, smarter, and scalable. As a trusted Databricks consulting partner, Dataplatr helps enterprises move from data chaos to data clarity—using the full power of the Databricks Lakehouse Platform to transform raw data into real business value.
Strategic Partnership with Databricks
As a committed Databricks consulting partner, Dataplatr uses deep platform expertise to help businesses harness the full power of the Databricks ecosystem. From data engineering and lakehouse architecture to ML model deployment and performance optimization, our team works closely with clients to implement customized solutions that align with their data strategy and growth goals.
Why Dataplatr is Your Go-To Databricks Partner
As a certified Databricks partner, Dataplatr brings years of technical expertise and strategic insight to every engagement. Our team is equipped to design, implement, and manage robust data solutions tailored to your business goals.
Whether you’re at the beginning of your data journey or looking to scale your advanced analytics capabilities, Dataplatr ensures seamless delivery across:
Unified data architecture (lakehouse)

Scalable and secure ETL pipelines

Advanced analytics and real-time reporting

Machine learning and AI model deployment
Industry-Focused Solutions Powered by Databricks
Dataplatr brings Databricks-powered innovation to a wide range of industries, including healthcare, finance, retail, manufacturing, logistics, and more. Our solutions are designed to solve specific industry challenges with a focus on scalability, compliance, and data security. Whether it’s predicting customer behavior, optimizing supply chains, or improving clinical outcomes—Dataplatr uses Databricks consulting to make it happen.
Why Enterprises Choose Dataplatr as Their Databricks Partner
Organizations choose Dataplatr because we combine strategic thinking with technical excellence. Our experience with the Databric