Introducing: The AI Insights Fabric. Why Enterprises Need a New Data Architecture for AI. Read the Full White Paper >>

Promethium Is The Open Alternative to Microsoft Fabric

Access all your enterprise data instantly. No months-long migration to One Lake. No vendor lock-in.

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WHAT YOU NEED TO KNOW

Quick Comparison: The Open vs Closed Approach

What You Need

Microsoft Fabric

Promethium Open Data Fabric

Multi-cloud support

❌ Azure only

✅ AWS, Azure, GCP

No data migration

❌ Required to OneLake

✅ Zero data movement

AI capabilities

❌ Copilot only

✅ Talk to all your data

BI tool choice

❌ Power BI focused

✅ Any (BI) tool

Time to value

❌ Months

✅ Weeks

Vendor flexibility

❌ Locked in

✅ Future-proof & always open

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WHY ENTERPRISES CHOOSE OPEN

The Benefits of Promethium’s Open Architecture

You’ve invested in Snowflake, Oracle, Databricks, SAP — why move it all to OneLake?

 

Keep your existing stack

Leverage all your existing data platforms (such as Snowflake, Databricks, Oracle) and use the tools you want (like Tableau or ThoughtSpot)

Don't get locked in

Never get locked into a single vendor’s roadmap and retain architectural flexibility

Talk to all your data

Conversationally engage with your data powered by an agentic architecture ready for human-AI collaboration

Microsoft Fabric requires months-long OneLake migration before AI can work.

Promethium’s agents work with your data where it lives, enabling real-time AI insights without the wait.

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HOW PROMETHIUM’S OPEN ARCHITECTURE WORKS

Access All Your Data, Move None of It

Promethium’s Open Data Fabric architecture is purpose-built to leverage and amplify your existing ecosystem:

 

Promethium Open Data Fabric architecture diagram showing the complete data ecosystem. At the center is the Promethium Open Data Fabric with three core components: Mantra Data Answer Agent (conversational AI interface), 360° Context Engine (metadata management), and Instant Data Fabric (federated access layer). The diagram shows data flow from bottom to top: Data Sources at the base include logos for Snowflake, Redis, Amazon Redshift, Oracle, Salesforce, Microsoft Power BI, Elasticsearch, Amazon DynamoDB, SAP, Tableau, SSH/SFTP, PostgreSQL, Looker, and IBM DB2. Above the core platform, data flows to business applications organized in three categories: Analytics & BI (tools like Tableau, Power BI, and Snowflake), AI/ML & Agents (including TensorFlow, custom AI models, and ChatGPT), and Apps (Slack, Microsoft Teams, Salesforce, and other business applications). On the left side, Metadata & Context services provide Data Catalogs, Semantics & Transformations, and Other integrations. On the right side, Human Feedback & Learning enables User Input & Refinement, Validation & Endorsement, and Memory & Preferences. Key processes shown include Business Questions & Requests flowing into Trusted, Contextual Data Answers, Zero-Copy Federated Access, and Materialize Results & Write Back capabilities, with Feedback & Validation and Agentic Memory components supporting the overall system.

 

Access All Your Data in Place 

Connect Snowflake +  ADLS + Databricks + Salesforce together — query everything as if it was one unified source.

Generate Accurate and Trusted Results 

Promethium automatically discovers relationships, lineage, and business context across all sources to give you accurate and trusted results.

Get Instant Answers to Plain English 

Empower analysts and AI agents to talk to all your enterprise data and get contextualized and trusted data.

Diagram illustrating Instant Data Fabric's three core capabilities - Automated Discovery, Zero-Copy Federation, and Enterprise-Grade Governance - connecting to various cloud, on-premise, and application data sources including Snowflake, Databricks, Oracle, Salesforce, and SAP. Diagram illustrating how the 360° Context Engine aggregates metadata from eight different sources including business context, technical metadata, semantic layers, and data catalogs to deliver three core capabilities: metadata aggregation, cross-system intelligence, and bridging the business-to-technical gap. Promethium's Mantra AI agent interface showing a conversational query about insurance claim amounts. The left panel displays the natural language request 'include total claim amounts' and the AI's detailed explanation of the SQL logic, including business context about joining policies to claims and payments tables. The right panel shows the generated SQL query with proper joins, aggregations, and a LIMIT 10 clause. The interface demonstrates how users can ask questions in plain English and receive both executable SQL and complete business explanations.
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CUSTOMER RESULTS

Trusted by Fortune 500 Data Teams

Promethium customers see:

10x

Faster for data and analytics teams to respond to ad hoc business questions

5x

Increase in productivity for product owners, analysts and data engineers

$M+

In business value generated unlocked from insights with new data answers

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