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Built for Microsoft Fabric & BI Engineering Teams

Telephony Lakehouse Workload for Fabric

Skip the ETL. All of your call data lands in Microsoft Fabric normalized with no pipeline to build.


VoiceLake delivers normalized multi-vendor telephony and contact center data into Microsoft Fabric so data and BI teams can build their own Power BI dashboards, analytics, data models, AI solutions, and applications.

Stop wasting hundreds of engineering hours writing custom API connectors, wrestling with obscure PBX schemas, and manually parsing raw CDR logs.

VoiceLake handles the data engineering heavy lifting so your BI team can join telephony metrics with CRM, ERP, and enterprise financial datasets.

Talk to Our Data Team Start 14-Day Trial

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VoiceLake Fabric Ingestion Diagram

Turn Complex Telephony Schemas Into Query-Ready Data

Don't let legacy phone systems or proprietary CCaaS formats lock your data in silos. VoiceLake creates a vendor-neutral telephony data foundation in Fabric.

  • Automated Telephony Schema Normalization

    Aggregate raw call logs, queue events, and agent metadata from Cisco, Avaya, Webex, Teams, Zoom, and CXone into a standardized, unified schema.

  • Native Microsoft Fabric & Power BI Ingestion

    Pipeline clean telephony telemetry directly into your Fabric OneLake workspace or Azure Lakehouse to build custom semantic models, operational dashboards, and AI workflows.

Why Data & BI Teams Choose VoiceLake

Metropolis builds and maintains the data pipeline. Your team builds the insights.

Join Telephony with Business Intelligence

Bring call and contact center data into the same model as your CRM and ERP to enterprise level insights on full operational performance.

AI & Machine Learning Ready Telephony Data

Feed high-quality, structured voice metadata into downstream enterprise LLMs, predictive sentiment models, and automated workforce planning algorithms.

Telephony Data Modernization During Migration

Migrating off legacy CUCM or Avaya? Preserve years of historical telephony records, archive them cleanly in Fabric, and eliminate software vendor lock-in.

Pipelines Data From Modern & Legacy Systems:

Ingest telephony telemetry from cloud CCaaS, UCaaS, and legacy on-premise PBX infrastructure.

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  • Webex Calling Logo
  • Blue NICE CXone logo
  • Zoom Logo
  • Microsoft Teams Logo
  • Ring Central Logo
  • Five9 Integration Logo
  • Genesys Logo
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  • Webex Contact Center Logo


VoiceLake Fabric Schema Normalization Diagram

We Maintain the Connectors, so You Don't

Telephony schemas shift whenever PBX or CCaaS vendors push updates, breaking custom API scripts. VoiceLake manages the underlying pipeline maintenance for you.

  • Reduce Engineering Overhead

    Eliminate the need for data engineers to study complex telephony API documentation or build custom parsing routines.

  • Build Custom Applications

    With clean telephony data stored directly in your Fabric environment, you retain total control to build custom models, apps, and enterprise visualizations.

Frequently Asked Questions

What is VoiceLake?

VoiceLake is an enterprise telephony data pipeline that ingests, normalizes, and delivers multi-vendor voice and contact center telemetry directly into Microsoft Fabric and Power BI.

Who is VoiceLake built for?

VoiceLake is built for Data Engineers, BI Architects, Chief Data Officers, and Power BI teams who need raw, normalized telephony data to build custom semantic models and enterprise data workflows.

How does VoiceLake differ from Expo XT?

Expo XT UC Analytics is an operational call center analytics software built for IT and UC managers who need ready-to-use dashboards out of the box. VoiceLake is a data pipeline built for Data & BI engineers who want raw, normalized telephony data to build their own models and apps inside Microsoft Fabric.

Why not build custom telephony API connectors in-house?

Telephony schemas are complex, non-standardized, and frequently change. This becomes more complex to maintain when your organization uses mutliple systems (such as a PBX and a contact center, or multiple locations on different systems). VoiceLake handles ongoing schema normalization, API maintenance, and pipeline infrastructure so data engineers save hundreds of hours.

How much does VoiceLake cost?

You can start with a free 14-day trail on Microsoft Marketplace (Appsource)! After that, essentials starts at just $750 per month!

Discuss Your Fabric Data Architecture

Ready to stream your telephony data into Microsoft Fabric? Contact our data engineering team to review your source environments, schema requirements, and pipeline architecture.