SQream Integrates with Dataiku for Advanced Big Data Analytics Technology

SQream has unveiled a strategic partnership with Dataiku. This collaboration merges SQream’s top-tier big data analytics technology with Dataiku’s adaptable and scalable data science and machine learning (ML) platform. Together, SQream and Dataiku provide a comprehensive solution for efficiently generating big data analytics and deriving valuable business insights. Users can now seamlessly utilize SQream’s analytics capabilities within the flexible and regulated Dataiku environment. This integration facilitates effortless exploration, preparation, and transformation of large datasets within SQream. Leveraging Dataiku’s intuitive visual interface, users can incorporate custom SQL queries or languages like Python and R via Dataiku’s code recipes. Moreover, advanced functionalities enable the creation, testing, and deployment of machine learning models, alongside automation tools for workflow orchestration and Generative AI.

SQream’s acclaimed data analytics technology accelerates the processing and analysis of massive datasets, integrating seamlessly with Dataiku to enhance end-to-end data science workflows. This integration facilitates collaboration, streamlining communication and knowledge sharing between data scientists, analysts, and business users. SQream’s efficient GPU resource utilization leads to cost savings, ensuring high-performance analytics without extensive hardware investments. The combined solution offers unmatched scalability, enabling businesses to handle growing data volumes without compromising performance.

“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. “Together, we are equipping organizations with the capabilities to unlock the full potential of their data, enabling them to make informed decisions faster than ever before. This integration underscores our dedication to delivering high-performance analytics solutions that drive business success by allowing users to leverage the power of both platforms for their big data and ML needs.”

“The integration of SQream with Dataiku uniquely positions us to serve a broad spectrum of industries and their varied analytics needs,” stated Abhi Madhugiri, VP of Technology Alliances, Dataiku. “This collaboration combines our versatile data science platform, suitable for all expertise levels, with SQream’s powerful analytics, reinforcing our commitment to equip organizations with innovative technologies for smarter, faster data-driven decisions.”

Learn more about how customers can leverage a comprehensive solution for efficiently generating big data analytics technology and better business insights here.

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Taylor Graham, marketing grad with an inner nature to be a perpetual researchist, currently all things IT. Personally and professionally, Taylor is one to know with her tenacity and encouraging spirit. When not working you can find her spending time with friends and family.