We help customers leverage the scale, performance, and interoperability of the Databricks unified analytics platform to unleash the power of enterprise-scale data engineering and collaborative data science on both Microsoft Azure and Amazon Web Services.
Experiment, innovate, and extract insights to drive your business forward.
State of the art Data Science and Data Engineering
Multi-Cloud Readiness and Interoperability
Take advantage of flexible cloud processing to unlock the potential of complex data sources while benefiting from compatibility with cloud leaders like AWS and Azure.
Data Engineering at Massive Scale
Add reliability, flexibility, and performance to your platform with open source-powered Spark and Delta Lake. Use Python, SQL, R, and Scala to best suit the task at hand.
AI and Machine Learning
Build and develop business-focused data science solutions to get to the root of what makes your business tick. Collaborate and manage your model lifecycle with MLflow.
Lakehouse Architectures
Leverage Databricks’ Delta Lake and SQL Analytics to tap into the key strengths of data lake and warehouse storage with the new Lakehouse architectural design patterns.
Success Stories and Perspectives
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Get in touch
If you’d like to learn more about how we can help you leverage the latest technologies to make timely, data-driven business decisions, we’d love to hear from you.
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