Big data and real-time streaming, built on whichever Azure platform fits
CloudServus assesses your HDInsight and Stream Analytics workloads, migrates what needs it, and builds new streaming on Microsoft Fabric when that's the better fit.
Talk to an Expert →Where Azure big data and streaming stand right now
Azure HDInsight and Azure Stream Analytics still run production workloads for plenty of mid-market IT teams, and Microsoft keeps shipping support for both. Azure HDInsight 4.0 reached end of support on March 31, 2025; clusters still on it need to move to 5.1 to stay supported.
Microsoft's newer direction for real-time analytics is Microsoft Fabric, specifically Real-Time Intelligence. It's a SaaS layer that unifies ingestion, transformation, querying, and action in one workspace. It natively connects to Amazon Kinesis and Google Pub/Sub, sources Stream Analytics can't reach directly, and adds native change-data-capture support for Cosmos DB, PostgreSQL, MySQL, and Azure SQL without a separate tool like Debezium. For teams starting a new streaming build, we typically point them there first.
How CloudServus gets you to the right platform
Workload assessment
- Current-state review of every HDInsight cluster and Stream Analytics job, checked against what each workload needs
- Stay-or-move recommendation per workload, backed by cost and migration effort, not a blanket platform switch
Migration and modernization
- HDInsight version upgrades, including moving clusters still on the retired 4.0 release to 5.1
- Microsoft Fabric builds for teams ready to consolidate streaming and analytics into Real-Time Intelligence
Production support
- Cluster and pipeline management for workloads that stay on HDInsight or Stream Analytics, sized and patched on schedule
- Security and compliance configured against your existing Azure governance, not bolted on afterward
When HDInsight and Stream Analytics are still the right call
Fabric isn't a fit for every workload. Teams that need full control over open-source Spark, Hive, or Kafka cluster configuration, or that run custom C# and JavaScript transforms in a streaming pipeline, still get more out of HDInsight and Stream Analytics directly.
We don't push a migration your workloads don't need. If HDInsight and Stream Analytics are doing the job, we keep them running, patched, and sized correctly, and revisit the Fabric question when your requirements change.
Our process
We start with an assessment of your data sources, workflows, and business goals, then map each workload to HDInsight, Stream Analytics, Fabric, or a mix of the three.
From there we implement, train your team to run what we build, and stay on to tune performance and cost as your data volume and use cases grow.
Ready to find out which platform fits your data?
Talk to a CloudServus architect. We'll assess your current HDInsight and Stream Analytics workloads and give you a straight answer on what to keep, what to migrate, and what belongs on Fabric.
Talk to an Expert →