CData software launched the Microsoft Fabric integration accelerator
Microsoft Fabric is powerful, but it has a limitation, it doesn’t naturally talk to systems outside Microsoft. ERP systems like SAP, HR platforms like Workday, and CRM tools like Salesforce exist outside that ecosystem. That makes integration slower, more complex, and more expensive than it should be. Time-to-value takes a hit, and when you’re scaling a business or optimizing performance, that matters.
CData saw the problem and solved it. Their Microsoft Fabric Integration Accelerator now lets you connect Microsoft Fabric to more than 270 external data sources, all major enterprise platforms included. It turns weeks or months of integration work into days. That means your team can skip writing custom scripts or managing fragile pipelines every time your data changes. This creates real agility.
It’s about alignment across the stack. Whether you’re running financial analysis, HR forecasting, or supply chain models, data needs to flow fast and freely. This accelerator is aimed at making that happen. It enables execs to move beyond data silos and into faster decision-making with current, usable data across every system.
Manish Patel, Chief Product Officer at CData, put this clearly: “Organisations implementing Microsoft Fabric face critical data integration challenges for data residing outside of the Microsoft ecosystem that can significantly delay their time-to-value.” The accelerator addresses this bottleneck and gets you out of the slow lane.
If your business depends on fast access to data, and it likely does, this shift cuts inefficiency and increases your operational tempo.
The accelerator is built around three specialized toolkits
Let’s get clear on what actually powers this thing. The Microsoft Fabric Integration Accelerator is made up of three focused toolkits. Each one handles a specific type of connectivity or data flow issue. This precision is why it works.
The OneLake/Warehouse Build Toolkit handles real-time data ingestion. It uses Change Data Capture (CDC) across more than 270 sources. That means data stays current and synchronized, no batch delays, no risky manual processes. Combined with Microsoft’s Fabric Dataflow Gen2, it gives you ongoing access to fresh data across your systems.
Then there’s the Power BI Live Connectivity Toolkit. This gives users a direct line from Power BI to external data, using pre-built models. So, no extra data prep, no rebuilding models every time something changes. This is especially valuable for teams running dashboards or executive summaries that rely on timely, trustworthy information.
The third part is the Azure Data Factory Extension Toolkit. This expands Microsoft’s native limitations by allowing API-level integrations without writing custom code. It also unifies different data types under a single SQL-based model. That makes it easier to manage complex systems across your enterprise with fewer technical resources on call.
These toolkits reduce time spent on integration, eliminate repetitive manual tasks, and lower the need for highly specialized engineers just to keep data moving.
Ben Lehrer, CEO of First Water, highlighted this well: “The CData OneLake Toolkit checked all the boxes for Fabric integration. CData offers the connector set, underlying source data availability, structured replication engine, and flexibility we sought in seeking a cost-effective ‘pure play’ solution that delivers maximum ROI and time-to-value for Finance teams adopting Fabric to support and streamline critical FP&A processes.”
That’s the focus: return on investment and speed. When you simplify data access, the whole organization moves faster, from finance to operations to leadership.
CData solidifies its market position
Most solutions that call themselves “enterprise ready” fall short when scale hits. They lock you into pricing based on data volume and charge more as you move faster or grow bigger. CData’s taken a different approach. The Microsoft Fabric Integration Accelerator offers a volume-independent pricing model. That means you aren’t penalized for how much data your business uses. Whether you’re processing gigabytes or petabytes, cost remains predictable.
For large enterprises managing complex systems across finance, supply chain, or customer data, that kind of pricing clarity is rare. It allows long-term planning without surprise costs tied to data growth. More importantly, it unlocks scalability. When teams can access the data they need without hitting cost thresholds, innovation accelerates.
But pricing alone doesn’t earn trust. CData was named a Leader in the 2024 Gartner Magic Quadrant for Data Integration. That recognition matters because it verifies product maturity, reliability, and strategic vision. Gartner’s assessment process is strict, focused on robustness, adaptability, and execution. Landing in the Leader quadrant confirms the product does what the market actually needs, under pressure and at scale.
At an enterprise level, this is where credibility and capability meet. CData is building infrastructure companies can rely on through growth, complexity, and change.
For CTOs, CIOs, and CFOs evaluating integration strategy, these two elements, volume-independent pricing and third-party validation, create a low-friction path to adoption. When the economics work and the tech is proven, the only question left is how fast you want to move.
Key takeaways for leaders
- Faster integration = faster ROI: Organizations implementing Microsoft Fabric should consider CData’s new Integration Accelerator to eliminate delays caused by disconnected external systems like SAP, Workday, and Salesforce. It reduces integration timelines from months to days, enabling quicker operational value.
- Toolkits built for scale and simplicity: Decision-makers should leverage CData’s three specialized toolkits to simplify complex data workflows, real-time ingestion, direct Power BI connectivity, and no-code API integration, reducing dependency on engineering and speeding up deployment across teams.
- Enterprise-grade pricing and market validation: Leaders should evaluate the accelerator’s volume-independent pricing model for its scalability benefits, especially in high-data environments. Backed by recognition in Gartner’s 2024 Magic Quadrant, CData offers a validated, cost-predictable path for strategic integration goals.
