Choosing a data platform is not a tactical decision, but a strategic one.
Get it right, and you unlock scalability, advanced analytics and AI-driven decision-making.
Get it wrong, and you inherit years of technical debt, cost overruns and frustrated teams.
That’s exactly why we created our new comparison whitepaper:
“What Data Lakehouse Suits Your Organization?”
Here’s a preview of the key insights.
Why the Lakehouse Has Become the Default Architecture
For years, organizations were forced to choose between data lakes (flexible but chaotic) and data warehouses (structured but restrictive).
The Lakehouse architecture bridges that gap, combining cloud-scale storage with governance, performance and analytics-ready structure.
In practice, this means:
- One platform instead of parallel systems
- SQL, BI, ML, and streaming on the same data
- Open formats that reduce vendor lock-in
But not all Lakehouse platforms are built the same.
Three Platforms - Different Strengths.
In the whitepaper, we compare three leading Lakehouse approaches, each optimized for a different reality:
- Databricks excels when advanced analytics, machine learning and large-scale data engineering are core to your strategy. It’s powerful, flexible, and developer-centric, but requires discipline in cost and operations.
- Microsoft Fabric shines in BI-first organizations already invested in the Microsoft ecosystem. Its unified SaaS model and Direct Lake performance make analytics accessible, but primarily within Azure.
- Qlik Talend Cloud stands out where data integration, quality and governance are non-negotiable. With 200+ connectors, real-time CDC and an open Iceberg Lakehouse, it’s built for complex, regulated or hybrid environments.
There is no universal “best” platform, only the best fit.
What Really Determines the Right Choice
The biggest insight from the comparison?
Technology is only half the equation.
The right Lakehouse depends on:
- Your team’s skills (engineers vs analysts vs integration specialists)
- Your existing stack (Microsoft, multi-cloud, legacy systems)
- Your primary use cases (BI, ML, real-time, compliance)
- Your tolerance for cost variability vs predictability
The whitepaper breaks these down with a side-by-side comparison and clear decision guidance.
Download the Full Whitepaper
If you’re evaluating a Lakehouse, or already living with one, you’ll want the full picture.
Download the full comparison whitepaper to explore:
- A detailed feature-by-feature comparison
- Architecture and pricing trade-offs
- Real-world selection criteria
- Clear recommendations by scenario
Make the decision that fits your organization!
