Delivering Self-Service Data at AI Scale on Databricks
Promethium extends Databricks with real-time access to all your enterprise data — enabling trusted Data Answers for more sources, more users, and more decisions.
WHY PROMETHIUM + DATABRICKS
Extend the Lakehouse. Add Context. Scale Self-Service Data.
Expand Databricks Across Your Ecosystem
Query data in Databricks alongside external systems—like SQL Server, Salesforce, and on-prem databases. Persist results into Delta Lake to keep Databricks your central data hub.
Enable Self-Service Data on Databricks
Promethium brings the power of Databricks to less technical users through a natural language agent interface. Simply ask questions and get governed, explainable Data Answers—with ease, speed, and precision.
Add Business Context to Every Data Answer
Promethium combines technical metadata with business definitions, KPIs, and usage patterns to ensure answers reflect how your organization actually thinks and operates.
Accelerate Time to Insight
Test ideas quickly, explore data across systems, and validate insights in minutes. Instantly prove or disprove hypotheses and persist high-value use cases back to Databricks.
Drive Broader Adoption of Databricks
Promethium unlocks more use cases, more users, and faster decision-making—without increasing the burden on your data engineering team.
HOW IT WORKS
From Question to Databricks to Action
Promethium securely connects to Lakehouse and your other data sources. It dynamically plans the best way to answer each question, applies business context and definitions, then can execute the query through Databricks – delivering a complete, explainable Data Answer in minutes.
WHAT WE SOLVE
Promethium + Databricks eliminate the blockers to fast, trusted analytics at scale.
| Challenge | How We Solve It |
Limited access to external or operational data |
Promethium federates queries across cloud, SaaS, on-prem, and legacy sources—and persists results back to Databricks. |
Databricks is optimized for technical users |
Promethium provides a self-service interface that enables business users to get answers without notebooks or SQL. |
Inconsistent metrics and definitions across teams |
Promethium enriches Databricks with business definitions, KPIs, and lineage—ensuring consistent, trusted answers. |
Manual effort to prepare and curate data |
Promethium automates data discovery, query planning, and join logic—accelerating time to insight without additional engineering. |
Underutilized investment in Databricks |
Promethium expands use cases, increases user adoption, and helps teams get more value from Databricks from day one. |
USE CASES
Real Enterprises. Real Results.
Challenge: Siloed data across platforms made it difficult to respond to quickly evolving business questions.
Outcome: Enabled data teams to build Data Answers on Databricks from distributed sources—reducing time-to-answer and unlocking faster Tableau insights across the enterprise.
Challenge: Planning teams lacked real-time visibility into distributed product and customer data.
Outcome: Promethium provided federated access to all sources and delivered instant insights through Tableau—with compute running in Databricks.
Challenge: Business teams struggled to get timely answers from data spread across hybrid infrastructure and legacy systems.
Outcome: Promethium enabled governed self-service insights in Power BI—executed through Databricks—without the need to build custom pipelines for every new question.
GENIE + PROMETHIUM
Make Genie Smarter. Broaden Its Reach. Ground It in Enterprise Context.
Genie lets users ask questions in natural language—but only on data loaded into a curated workspace. Promethium removes this constraint, extending Genie’s reach across your full data estate and enriching every answer with business context.
Key Integration Benefits:
Break Free from Workspace Limits
Genie is restricted to data inside Unity Catalog. Promethium enables federated access to live data from any source.
Enrich Genie with Trusted Context
Promethium injects business logic, KPIs, and relationships into Genie’s prompts—ensuring consistent, explainable answers.
Power Genie with Data Answers
Promethium dynamically assembles SQL, joins, and logic to generate full Data Answers that Genie can present, summarize, or explore.
Enable Agent Collaboration via MCP
Through Model Context Protocol, Genie can call on Promethium’s reasoning, planning, and query agents—working together to improve accuracy and depth.
Scale Self-Service Data Without Added Burden
Promethium reduces the reliance on Genie-specific curation by enabling trusted answers across all enterprise data—regardless of whether it lives in a Genie workspace. That means fewer manual steps, broader coverage, and faster value.