SQream, the scalable GPU data analytics platform, revealed its strategic integration with Dataiku, the everyday artificial intelligence (AI) platform. The collaboration aims to merge SQream’s highly regarded data analytics technology with Dataiku’s flexible and adaptable data science and machine learning (ML) platform.
According to a release, this union grants users the ability to use SQream’s analytics capabilities in the adaptable and governed Dataiku environment. It helps explore, prepare and transform large datasets seamlessly in SQream. Using Dataiku’s intuitive visual interface, custom SQL queries or languages, such as Python and R, can now be prepared in SQream. These built-in features further support building, testing, and deploying machine learning models, as well as automation tools for workflow orchestration and generative AI.
SQream’s data analytics technology accelerates the processing and analysis of large data sets. Seamless integration with Dataiku serves to improve end-to-end data science workflows. Such integration facilitates collaboration and facilitates knowledge exchange between data scientists, analysts and business users. Cost savings are achieved through the efficient use of SQream’s GPU resources which ensures high-performance analyzes without requiring significant hardware investments. Through this common solution, exceptional scalability is achieved, allowing businesses to manage increasing data volumes without sacrificing performance.
Ami Gal, CEO and co-founder of SQream, considers this collaboration with Dataiku a notable advancement in Big Data analysis. Gal mentions: “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. This integration underscores our commitment to providing high-performance analytics solutions that drive business success by enabling users to harness the power of both platforms for their Big Data and ML needs.
Abhi Madhugiri, vice president of technology alliances at Dataiku, expresses similar sentiments. “SQream’s integration with Dataiku uniquely positions us to serve a wide range of industries and their varied analytics needs. This collaboration combines our versatile data science platform, suitable for all levels of expertise, with SQream’s powerful analytics, reinforcing our commitment to equip organizations with innovative technologies for smarter and more data-driven decisions. fast,” says Madhugiri.
SQream’s services specialize in data processing and analytics acceleration, changing the way organizations approach big data analytics and AI/ML workloads with its proprietary GPU-patented SQL engine. The solutions provided by SQream meet the requirements of businesses processing massive or complex data sets, delivering unmatched performance, scalability and cost-effectiveness. From finance to telecommunications, SQream enables businesses to gain actionable insights from their data with greater speed and efficiency, the company says.
