DataAccel

DataAccel is a config-driven data acceleration platform built on Microsoft Fabric that automates data ingestion, transformation, and analytics across cloud, SaaS, and on-premise systems. It replaces code-heavy pipelines with a unified, metadata-driven platform that delivers trusted, analytics-ready data at speed.

At the center is a web-based configuration UI where teams define pipelines, mappings, schedules, data quality rules, transformations, and governance policies—without writing ETL code. These configurations are executed in Microsoft Fabric, handling ingestion, validation, transformation, auditing, and analytics in a fully automated way.

How It Works

Users describe what should happen in DataAccel. This metadata becomes the single source of truth for how data is ingested, validated, transformed, and delivered. DataAccel executes these definitions using OneLake, Lakehouse, Warehouse, Fabric Pipelines, Spark, and SQL.

Smart Ingestion

Data in cloud storage or files (CSV, JSON, Parquet, etc.) is processed directly inside Fabric using OneLake and Lakehouse ingestion, ensuring performance, lineage, and governance without unnecessary movement.

For databases, SaaS apps, APIs, and on-prem systems, DataAccel uses Microsoft Fabric Data Pipelines and native connectors to ingest data into OneLake. All pipelines are generated and managed automatically from configuration.

Fabric + DataAccel

Microsoft Fabric provides storage, compute, and analytics.
DataAccel provides orchestration, validation, audit, lineage, and governance—ensuring every dataset is trusted and analytics-ready.

Why DataAccel

• Faster time-to-insight

• Higher data quality

• Consistent governance

• Lower operational cost

• AI-ready datasets

Teams focus on analytics and AI, not pipelines.

Framework

DataAccel is not a Fabric feature. It is a framework-based platform deployed inside your Microsoft Fabric environment and integrated with your data and security.

📩 Contact us to request a demo or deploy DataAccel for Microsoft Fabric.