Hybrid Data Catalog Sync for Fabric

Problem Context

Data teams using Microsoft Fabric want to build hybrid lakehouse architectures but face compatibility issues with alternative data catalogs like Polaris or AWS Glue. Fabric’s One Lake and Purview don’t natively support these catalogs, forcing users to either accept vendor lock-in or manually integrate systems—leading to data silos, broken workflows, and compliance risks.

Pain Points

Users struggle with fragmented data governance, as Fabric’s Iceberg REST API doesn’t align with Polaris/Glue’s native formats. Manual integrations require custom scripts, which break during schema changes or access control updates. Teams waste hours troubleshooting sync failures or hiring consultants to bridge the gap, while risking data inconsistencies across catalogs.

Impact

The lack of interoperability causes direct financial losses from downtime, missed analytics opportunities, and compliance violations. Engineers spend 5+ hours weekly on manual fixes, and businesses lose trust in their data pipelines. Without a solution, teams either abandon hybrid architectures or pay premium consulting fees to maintain them.

Urgency

This problem can’t be ignored because hybrid lakehouse adoption is growing, and teams using Fabric + alternative catalogs face daily disruptions. Compliance deadlines (e.g., GDPR, CCPA) add pressure to resolve catalog sync issues immediately. Delaying a solution risks project failures or costly migrations to monolithic vendors.

Target Audience

Data engineers, analytics teams, and cloud architects in mid-to-large enterprises using Microsoft Fabric alongside alternative catalogs like Polaris (governance) or AWS Glue (AWS compatibility). Also affects data platform managers who need to unify metadata across multi-cloud environments without vendor lock-in.

Solution Approach

A lightweight SaaS layer that acts as a ‘universal translator’ between Microsoft Fabric’s Iceberg REST API and third-party catalogs (e.g., Polaris, Glue). It automatically syncs metadata, schemas, and access controls bidirectionally, eliminating manual integrations and data silos. Users connect via API keys or Fabric workspace permissions, with no code changes required.

Key Features

1. Bidirectional Translation: Handles Fabric-specific Iceberg extensions (e.g., One Lake metadata) and maps them to Polaris/Glue’s schemas, ensuring no data loss.
2. Conflict Resolution: Detects and alerts on sync conflicts (e.g., schema drift, permission overlaps) before they break workflows.
3. Compliance Reporting: Generates audit logs for governance teams, showing sync history and access changes across catalogs.

User Experience

Users add the tool via a Fabric workspace connection or API key, then select their target catalog (e.g., Polaris). The sync runs in the background, with alerts for conflicts or failures delivered via Slack/email. Engineers save hours by avoiding manual scripts, while analysts gain trusted, unified metadata across tools. No infrastructure setup is needed—just connect and go.

Differentiation

Unlike generic ETL tools or Fabric’s native offerings, this solution is purpose-built for hybrid catalog interoperability. It handles Fabric-specific Iceberg quirks (e.g., One Lake metadata) that break other tools. Competitors either lack Fabric support or require custom development, while this product offers plug-and-play integration with a clear pricing model.

Scalability

Starts with syncing 1–2 catalogs per team, then scales to support unlimited catalogs or advanced features (e.g., real-time sync, custom transformation rules). Enterprise plans add SSO, priority support, and dedicated sync pipelines for large datasets. Pricing scales with usage (e.g., per-catalog or per-user), ensuring cost efficiency for growing teams.

Expected Impact

Teams regain control over their data pipelines, reducing downtime by 80% and eliminating manual integration work. Compliance risks drop as sync conflicts are caught early, and analysts access consistent metadata across tools. Businesses avoid vendor lock-in while leveraging the best-of-breed catalogs for their needs—all without hiring expensive consultants.