DeltaStream Inc. has announced the full rollout of DeltaStream Fusion, marking a major step forward for companies seeking to combine real time and historical analytics without managing multiple systems. After a period of early access testing and customer validation, the platform is now considered fully production ready. It is also expanding its reach through availability on Microsoft Azure, allowing organizations to deploy streaming capabilities closer to their existing data environments. The company says Fusion is designed to help enterprises gain faster, real time intelligence from their data while lowering the burden and expense of traditional analytics architectures.
Many companies continue to rely on separate systems for batch processing, real time analytics and data streaming. This often leads to fragile integrations and rising operating costs as data volumes grow. As the pressure intensifies to support artificial intelligence, business operations and decision making with up to the second data, organizations find themselves struggling with stale insights and infrastructure complexity. Engineering teams frequently spend time managing servers and tuning pipelines instead of delivering results, and attempts to adopt open source streaming tools can add further confusion due to their steep learning curve.
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DeltaStream positions Fusion as a way to remove these challenges by merging streaming, real time and batch analytics into a single serverless platform. The company says the service was designed from scratch to deliver reliable data intelligence automatically, without specialized skills or manual system tuning. Users can write analytics pipelines in SQL, while the platform selects the most effective compute engine behind the scenes. It brings together technologies such as Apache Flink, Spark and ClickHouse through a unified orchestration layer, eliminating the need to manage each one independently. The fully serverless model is intended to scale instantly and cut infrastructure costs, particularly for companies pressured by the rising expense of platforms like Snowflake and Databricks. DeltaStream also highlights built in observability and governance to meet enterprise compliance requirements.
Industry advocates see this type of convergence as a natural shift in how modern data systems should work. “The next generation of data systems won’t be defined by how much data they store, but by how intelligently they can turn it into insight,” said Yaroslav Tkachenko, founder of Irontools and data streaming advocate. “Platforms like DeltaStream Fusion represent the future of streaming where real time, batch, and analytics converge into one fluid experience. As AI becomes more and more important in every data workflow, unifying these layers is key to unlocking truly real time intelligence for modern enterprises.”
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DeltaStream’s founder and CEO Hojjat Jafarpour echoed this view, adding that “Enterprises across verticals are struggling to stream data, but complexity and cost are holding them back from getting actionable, real time insights. DeltaStream is tackling this problem head on with its unified data streaming platform. DeltaStream Fusion eliminates tool sprawl, reduces operating costs and enables every team to go from raw data to action in seconds.”
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