We see it in nearly every data transformation engagement: teams drowning in duplicate datasets, analysts waiting hours for ETL jobs, and cloud storage bills that keep climbing. Sound familiar?
After 30 years of helping organizations become truly data-driven, we’ve identified a game-changing solution for companies using multiple analytics platforms: Apache Iceberg integration between Snowflake and Microsoft Fabric. Write your data once. Access it everywhere. No copies. No waiting. No vendor lock-in.
Every week, we meet with data leaders who’ve invested in best-of-breed tools—Snowflake for data warehousing, Power BI for visualization, Azure AI for machine learning—but are burning resources on:
What we’ve learned? Organizations with multi-platform analytics environments spend 80% of their time on data movement instead of delivering insights. And frankly, we’re tired of watching brilliant analysts become reluctant data plumbers.
“Iceberg architecture is specifically designed for organizations that need the flexibility of multiple platforms without the overhead of data duplication.”
This solution is perfect for organizations that:
If you’re all-in on a single platform, Iceberg might be overkill. But if you’re juggling multiple systems? This changes everything.
Apache Iceberg creates a single source of truth in Microsoft Fabric’s OneLake or Azure Data Lake Storage. Here’s what makes it powerful for multi-platform organizations: data sits in one place but works everywhere:
Zero data movement. Zero duplication. 100% flexibility.
Cut storage costs by 40-60% through data deduplication. Eliminate pipeline maintenance overhead.
All platforms access the same live data simultaneously. No ETL delays or version conflicts.
Open standard ensures easy integration with future tools. Add new platforms in days, not months.
Centralized data control through OneLake with consistent security across all platforms.
“For organizations committed to best-of-breed tools, Iceberg provides a practical path to unified analytics.”
Perfect fit if you:
Probably overkill if you:
Based on our experience with complex multi-platform environments, we’ve developed a streamlined approach:
Week 1: Multi-platform architecture design and OneLake setup
Week 2: Iceberg table configuration and platform integration
Week 3: Migration of critical datasets and testing
Week 4: Team enablement across all platforms
Once implemented, your Snowflake team, Power BI users, and data scientists can all work on the same data simultaneously—no waiting, no conflicts, no confusion.
If you’re running multiple analytics platforms and tired of the overhead, Apache Iceberg offers a proven solution to unify your data architecture.
With native Iceberg support in both Snowflake and Microsoft Fabric, plus our deep expertise in both platforms, we can help you design and implement an architecture that makes your multi-platform strategy sustainable.