Observed Signal · Apr 21, 2026 · Technical Release · Source: https://martechseries.com/feed/ · Impact: 3/5 · Sentiment: Positive

Stelo Adds Microsoft Fabric Support for Real-Time Pipelines

Executive Signal Summary

Stelo announced expanded support for Microsoft Fabric, enabling organizations to stream live operational data into Microsoft Fabric in near real time to power analytics, AI, and enterprise reporting. The no-code data replication platform can replicate from more than 30 sources (including Db2, PostgreSQL and SQL Server) without disrupting production workloads, typically using under 1% CPU on source systems. Stelo offers flexible on-prem, cloud and hybrid deployments with tunable streaming to balance latency and compute. As a Microsoft Solutions Partner, Stelo is available through the Azure Marketplace to simplify procurement and deployment within Microsoft environments.

Polaris7 AgentPolaris7 Strategic Assessment
High Confidence

Enables near-real-time ingestion into Microsoft Fabric and simplifies enterprise procurement via Azure Marketplace, accelerating analytics and AI use cases but is a vendor-level integration rather than an industry-shifting platform change.

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Key Takeaways & Evidence Grounding

  • Stelo expanded support for Microsoft Fabric to enable near real-time streaming of operational data into Fabric.
  • Stelo provides near real-time replication from more than 30 sources, including Db2, PostgreSQL and SQL Server.
  • Stelo is a no-code data replication platform that runs independently of source systems and typically uses less than 1% CPU on sources.
  • Stelo supports on-premises, cloud and hybrid deployment models and offers tunable streaming to balance latency and compute.
  • Stelo is available through Azure Marketplace as a Microsoft Solutions Partner.
Primary Source Grounding & Direct Attribution
Direct Origin Attribution
Primary Reporting: https://martechseries.com/feed/•Published: Apr 21, 2026
Original Coverage Title: “Stelo Expands Support for Microsoft Fabric to Enable Real-Time Data Pipelines for Analytics and AI”

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