SQream Announces Strategic Integration for Powerful Big Data Analytics with Dataiku
NEW YORK, Feb. 7, 2024 /PRNewswire/ -- SQream, the scalable GPU data analytics platform, announced today a strategic integration with Dataiku, the platform for everyday AI. This collaboration brings together SQream's best-in-class big data analytics technology with Dataiku's flexible and scalable data science and machine learning (ML) platform. This collaboration between SQream and Dataiku offers a comprehensive solution for efficiently generating big data analytics and business insights. Users can now harness SQream's analytics capabilities within the flexible and governed Dataiku environment. The integration allows users to seamlessly explore, prepare, and transform large datasets within SQream. Dataiku's intuitive visual interface incorporates custom SQL queries or languages like Python and R through Dataiku's code recipes. Advanced features allow for building, testing, and deploying machine learning models, along with automation tools for workflow orchestration and Generative AI.
- Users will be able to leverage the power of both platforms for big data ML, Generative AI, and analytics projects
NEW YORK, Feb. 7, 2024 /PRNewswire/ -- SQream, the scalable GPU data analytics platform, announced today a strategic integration with Dataiku, the platform for everyday AI. - This collaboration brings together SQream's best-in-class big data analytics technology with Dataiku's flexible and scalable data science and machine learning (ML) platform.
- This collaboration between SQream and Dataiku offers a comprehensive solution for efficiently generating big data analytics and business insights.
- "Our collaboration with Dataiku marks a significant step forward in the evolution of big data analytics," said Ami Gal, SQream's CEO and Co-founder.