The Platform
Four modules. One complete platform.
Most enterprise data stacks require 5–10 separate tools just to move data into a usable state. Databasin replaces them — co-created at WashU Medicine, proven in production.
Module 01
Connectors
Every source. One connection.
200+ pre-built connectors covering every major EHR, ERP, CRM, cloud warehouse, SaaS tool, and AI API — plus a no-code API builder for anything custom. Your data team connects sources in minutes, not weeks. Schema-aware ingestion for Epic and Workday means the connector understands the data model, not just the endpoint.
Replaces
CData
MuleSoft
Fivetran
Custom API integrations
Connectors — What's included
Schema-aware. Self-healing. No custom code.
200+ pre-built connectors
Epic, Workday, Salesforce, HubSpot, Stripe, REDCap, PostgreSQL, and every major SaaS tool. One library, one renewal.
Schema-aware Epic & Workday connectors
Chronicles, Clarity, Caboodle — handled as distinct environments. Workday BOs and effective-date logic resolved at the connector, not in your pipeline.
No-code API builder
Any internal system with an HTTP endpoint becomes connectable — no engineering ticket, no custom build required.
Module 02
Integrations
Pipelines that don't break.
Medallion architecture — bronze, silver, and gold layers — provisioned and automated out of the box. When upstream systems change their schemas, pipelines adapt instead of failing. Business rules live in the silver layer once, not scattered across a dozen reports where they'll inevitably drift apart.
Replaces
Azure Data Factory
Airflow
dbt
Custom ETL scripts
Integrations — What's included
Medallion architecture. Out of the box.
Bronze / Silver / Gold — automated
Raw data lands in immutable bronze. Business rules applied at silver. Governed, trusted data served from gold. Architecture built in, not bolted on.
Schema versioning & self-healing pipelines
Upstream changes are caught at bronze — not cascaded downstream. Pipelines adapt. On-call engineers sleep through Epic tenant updates.
Low-code pipeline builder
Define transformation rules without writing Airflow DAGs. Data engineers build metrics, not infrastructure.
Module 03
Lake House
Open storage. No lock-in.
Delta Lake or Apache Iceberg — vendor-neutral open formats readable by any compatible engine. Up to 80% less than Snowflake or standalone Databricks. Deploy fully hosted, in your own Azure tenant, or layer on your existing Databricks, Snowflake, or Fabric environment in BYO mode. Your data is always yours.
Replaces (or enhances in BYO mode)
Snowflake
Standalone Databricks
Azure Synapse
Google BigQuery
Lake House — What's included
Governed. Open. Built for production.
Delta Lake & Apache Iceberg
Choose the open format that fits your stack. Change it as you scale — no platform migration required.
Three deployment paths
Fully hosted, private Azure tenant install, or BYO mode on top of your existing Databricks, Snowflake, or Fabric environment.
Private install — your tenant, your control
PHI never leaves your governance perimeter. Your LLM, your endpoints, your security posture. HIPAA-ready by architecture.
Module 04
Insights
Ask a question. Get an answer. Own a dashboard.
LLM-agnostic AI chat — GPT-5 on Azure OpenAI, Claude, or your internally approved model — pointing at your governed gold layer. Natural language questions become instant answers. One click turns an answer into a shareable dashboard. The model runs behind your security boundary. Your data never leaves your environment.
Replaces
Tableau
Power BI Premium
Looker
Standalone AI API spend
Insights — What's included
LLM-agnostic. Governed. Instant.
Natural language → instant answers
Ask anything in plain English. Governed answers from your gold layer — not a model hallucinating against raw tables.
One-click dashboards
Any query result becomes a live, shareable dashboard instantly — no BI tool configuration, no analyst ticket.
Runs inside your security boundary
PHI, financial data, and sensitive records never transmitted to external AI services. LLM-agnostic — swap models without changing architecture.
Already on Databricks, Snowflake, or Fabric?
Databasin works alongside the platform you've already committed to.
You don't need to replace your existing investment to get value from Databasin. BYO mode layers Databasin's connectors, pipelines, governance, and AI on top of your current environment — adding what's missing without displacing what's working. Three deployment paths, one governed outcome.
See It Through Your Lens
Same platform. What matters most depends on who you are.
Select your situation to see how each module maps to your specific environment.
01Connectors
One Epic connector. 200+ more for everything else.
Chronicles, Clarity, and Caboodle connected through a single, dedicated Epic connector — not multiple brittle drivers. Then unite your research data, Workday HR, REDCap, and every other clinical and operational system in the same environment.
Featured at HIMSS 2023, 2024, and 2025 by Microsoft and Databricks.
02Integrations
Research pipelines that don't break when Epic updates.
Epic Clarity refreshes, Caboodle schema changes, and Chronicles extracts — all handled by automated, medallion-architected pipelines that adapt instead of failing. Research coordinators stop getting calls at 6am about broken pipelines.
Co-created at WashU Medicine's I2DB — not a pilot, not a proof of concept.
03Lake House
Deploy the way your institution requires.
Fully hosted, private install in your Azure tenant, or layered onto your existing Databricks or Fabric environment. Your Epic data, research cohorts, and operational data in one HIPAA-compliant governed lake house — at up to 80% less than comparable standalone platforms.
Independently deployed at multiple AMCs — not cross-institution data sharing.
04Insights
Clinical and operational questions answered in plain language.
Researchers, administrators, and clinical operations teams ask questions directly — readmission rates, cohort definitions, operational benchmarks — and get instant, governed answers. One-click dashboards replace the analyst queue for routine reporting.
LLM runs inside your Azure security boundary — PHI never leaves your environment.
01Connectors
Schema-aware Workday ingestion — not just raw API calls.
Databasin's Workday connector understands the business object model — effective dates, calculated fields, custom report outputs. Finance and HR data arrives clean because the connector handles the data model correctly, not just the endpoint.
Replaces the CData driver stack typically running $25–50K/year in licensing.
02Integrations
Headcount, org structure, and GL — correct and current, automatically.
Effective-date logic for HR data handled automatically. Financial period close pipelines run on schedule. When Workday config changes, pipelines adapt instead of breaking — no emergency tickets to the data team.
One headcount definition, enforced by the platform — not by whoever built the last report.
03Lake House
Join Workday data with every other system — finally.
Workday Financials and HCM in the same governed environment as your CRM, ERP, and operational data. Multi-entity consolidations, intercompany eliminations, and complex financial modeling that Workday Financials wasn't built to handle.
Replaces Workday Prism Analytics — at a fraction of the six-figure subscription cost.
04Insights
Finance and HR answers without a Workday specialist.
CFOs, CHROs, and operations leaders ask questions directly — headcount by department, budget vs. actuals, comp benchmarks — and get governed answers without submitting a Workday report request or waiting for an analyst.
Board and investor reporting from one trusted source — assembled by the platform, not the night before.
01Connectors
Replace your entire connector license stack.
CData, MuleSoft, Fivetran — each licensed separately, each partially overlapping with the others. Databasin's 200+ connectors and no-code API builder replace all of them at a fraction of the cost. One connector layer, one renewal, one support relationship.
Typical connector stack savings: $25–50K/year in licensing alone.
02Integrations
Stop paying engineers to babysit pipelines.
Low-code automation replaces brittle custom ETL. When upstream systems change, pipelines adapt instead of failing. Your most expensive engineers stop firefighting infrastructure and start building. That's not just a cost reduction — it's a capacity increase.
Eliminates the "senior engineer as pipeline janitor" pattern that drives attrition.
03Lake House
Get more out of the platform you already paid for.
Already on Databricks, Snowflake, or Fabric? Databasin layers on top — adding connectors, pipelines, governance, and AI without displacing what you've built. Three deployment paths, one governed outcome, at up to 80% less than running the equivalent capability as separate tools.
BYO mode: keep your existing environment, add everything that's missing.
04Insights
Replace your BI licenses. Reduce your ticket queue.
Tableau, Power BI Premium, Looker — each licensed, each requiring admin overhead, each creating shadow analytics when users can't get answers fast enough. Databasin's AI query layer replaces the BI stack and empowers self-service without the governance risk.
One-click dashboards replace the BI admin queue for routine reporting requests.
01Connectors
The missing ingestion layer for stalled Databricks, Snowflake, and Fabric deployments.
Your customer bought the platform. The data isn't flowing. Databasin's 200+ schema-aware connectors — including Epic and Workday — are the piece that gets it unstuck. Data flowing in days, consumption metrics moving, account saved.
The most common stall: Epic or Workday data that won't move cleanly into the warehouse.
02Integrations
Solve the "we don't have the engineering skills" objection.
Your customer's internal team can't manage the platform long-term — that's the stall. Databasin's low-code pipeline automation removes the engineering dependency. Their team doesn't need to be Databricks experts to keep the data flowing.
Removes the implementation consultant dependency that customers can't afford forever.
03Lake House
BYO mode — additive, not competitive, with your platform.
Databasin layers on top of Databricks, Snowflake, or Fabric. Your customer's existing investment is protected and extended — not replaced. Your platform stays primary, Databasin fills the gaps that were blocking activation.
Not a competing platform — the layer that makes your platform actually get used.
04Insights
Unlock AI use cases your customer couldn't reach alone.
Cortex AI, Databricks AI, or Azure OpenAI stalled because the data underneath isn't governed? Databasin's gold layer provides the governed foundation those AI products need — activating the AI capabilities your customer bought the platform for in the first place.
Drives consumption on both the AI and platform side simultaneously.
200+
Pre-built connectors — EHR, ERP, CRM, cloud warehouses, AI APIs
80%
Average cost reduction vs. comparable lake house and analytics stacks
4
Modules replacing 5–10 separate tools in a typical enterprise stack
Day 1
Time to a working, governed lake house — not a six-month implementation
Why It Works
We didn't build this in a garage. We built it in production.
Databasin was co-created at Washington University School of Medicine's Institute for Informatics, Data Science & Biostatistics (I2DB) to solve Epic EHR data pipeline challenges that were limiting research operations. No commercial solution existed at that scale.
What we built in that environment — where the stakes were real and the data was live — became the foundation of the platform available to every customer today. Not a prototype. Not a proof of concept. Production infrastructure, proven at one of the most demanding data environments that exists.
HIMSS '23 · '24 · '25
Featured by Microsoft and Databricks at three consecutive HIMSS annual conferences
WashU Medicine
Co-created at the Institute for Informatics, Data Science & Biostatistics — in production, not in a lab
7+ industries
Healthcare, higher education, construction, financial services, and more — same platform, purpose-built lenses
Ready to See It
One platform. Every module. Starting now.
14-day free trial · No six-month implementation. No ten-tool stack to assemble first.