DeltaStream, Inc., the company redefining stream processing, has announced the general availability of DeltaStream Fusion, its unified data streaming platform that merges streaming, real-time, and batch analytics into one serverless environment.

After an early-access phase validated by customer deployments, Fusion is now production-ready—and available on Microsoft Azure. The expansion gives enterprises greater flexibility to deploy analytics wherever their data resides, from the cloud to hybrid environments.

The platform’s newest iteration includes AI-driven pipeline creation, multi-engine orchestration, and enhanced support for GenAI applications and agents that depend on real-time data context.

Fixing the Fragmented Data Stack

Most organizations still rely on a patchwork of analytics systems—streaming for immediacy, batch for history, and real-time for operational dashboards. That fragmentation leads to fragile pipelines, higher costs, and stale data. Engineers spend more time tuning infrastructure than accelerating insights.

DeltaStream Fusion eliminates that complexity. The platform’s unified architecture allows users to handle all analytics workloads in one place—without provisioning servers or juggling multiple tools.

“Enterprises across verticals are struggling to stream data, but complexity and cost are holding them back from getting actionable, real-time insights,” said Hojjat Jafarpour, founder and CEO of DeltaStream. “Fusion eliminates tool sprawl, reduces operating costs, and enables every team to go from raw data to action in seconds.”

One SQL to Rule Them All

DeltaStream’s core innovation lies in simplicity. Teams can write queries once in SQL, while Fusion automatically chooses the optimal engine for execution across Apache Flink, Spark, or ClickHouse. This not only improves agility but also reduces dependency on specialized engineering expertise.

Additional highlights include:

• AI-assisted pipeline creation that converts raw data into insights within minutes.

• Serverless scaling, eliminating infrastructure management entirely.

• Cost optimization through efficient data movement and computation, helping reduce Snowflake and Databricks spend.

• Built-in observability and governance for enterprise-grade reliability.

Real-Time Data for the Age of AI

As enterprises race to make data usable for AI, BI, and business operations, DeltaStream Fusion aims to give them a competitive edge. The platform enables streaming-native intelligence that powers real-time personalization, dynamic decisioning, and autonomous systems.

“The next generation of data systems won’t be defined by how much data they store, but by how intelligently they turn it into insight,” said Yaroslav Tkachenko, founder of Irontools and a leading advocate for data streaming. “Platforms like Fusion represent the future—where real-time, batch, and analytics converge into one fluid experience.”

A Unified Vision for Data-Driven Enterprises

DeltaStream Fusion’s arrival on Azure marks a milestone for the company and for enterprises seeking to simplify modern data stacks. By collapsing data silos and automating performance optimization, DeltaStream promises a faster path to value—without the heavy lift of traditional infrastructure.

As real-time intelligence becomes a cornerstone of GenAI and modern analytics, DeltaStream’s unified platform is positioned to lead the charge toward a future where insight is instant, contextual, and effortless.

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