Stop experimenting with AI.
Go from legacy estate to AI-native, on Databricks.
mindit.io is DACH's most proven Databricks partner. We make your Databricks investment pay off for Retail and Banking, end to end.
Trusted by enterprises like Avolta, Bofrost, Bucherer, IATA and a top EU retail bank.
mindit.io is a Databricks partner and AI-native transformation company, founded in 2015.
We help Retail and Banking enterprises in Switzerland and Germany become AI-native on Databricks.
We operate the 3rd largest retail data lakehouse in Europe, and deliver across the full Databricks platform, from migration to production AI.
What we do for you with Databricks
Our expertise is not a badge. It is the work: end to end, from your legacy estate to AI in production.
We migrate your legacy estate
Oracle, Cloudera, SQL Server, and Synapse moved to the lakehouse with phased, low-risk cutover: Databricks LakeBridge, our own accelerators, and Brickster, our agentic AI migration platform.
We build your lakehouse
Enterprise lakehouse on Delta Lake: Auto Loader and Lakeflow Connect ingestion, Spark Declarative Pipelines, and Delta Sharing to and from SAP BDC and Snowflake.
We govern it
Unity Catalog with ABAC, row-level security, and dynamic masking. Lineage end to end, SSO on Entra ID, Clean Rooms for privacy-safe collaboration. Mapped to GDPR, BCBS 239, FINMA, and BaFin, with FinOps and cost governance built in.
We turn data into decisions
Databricks SQL, Genie Spaces for natural-language analytics, AI/BI Dashboards, and Power BI semantic models your business actually uses.
We put AI in production
Mosaic AI end to end: MLflow, Feature Store, Model Serving, Vector Search, and Agent Bricks.
We make it AI-native
Not AI bolted on. We redesign how your teams and data work so the whole operation runs AI-native on Databricks.
From raw platform to real outcomes
Databricks gives you the engine. These are the outcomes we build on it for Retail and Banking.
Real-time inventory & pricing
Stock, margin, and price across every channel in real time, not in a nightly batch.
Demand forecasting & replenishment
ML forecasts on Databricks that cut both stockouts and overstock.
Customer 360 & personalization
Unify customer data and personalize at agent speed, not on yesterday's data.
Fraud & risk analytics
Real-time scoring and decisioning on one governed platform.
Regulatory reporting
Audit-ready lineage for BCBS 239, GDPR, FINMA, and BaFin, with one Unity Catalog story.
Conversational AI
Governed AI agents grounded on your lakehouse, with Vector Search and Foundation Models.
Outcomes, not activity counts
We do not just count certifications. We move petabytes and cut millions for enterprises like yours.
350TB from Oracle to the lakehouse for a top EU retail bank
A 20-year Oracle estate, 7,500+ stored procedures and 17,000+ tables and views, consolidated into one governed Databricks platform with LakeBridge, our accelerators, and a wave-based cutover. Databricks endorsed the approach and funded the pilot: 3 use cases delivered in 3 months.
The IT services provided have been exceptionally executed, reliable, and innovative, significantly contributing to our organization's success. Their cutting-edge solutions and responsive support have enhanced our operational efficiency, enabling us to achieve our strategic goals and maintain a competitive edge in our industry.
The platform the best enterprises run on
One platform for data and AI, governed end to end. The foundation we build everything on.
One platform
Engineering, analytics, and AI in one place. No silos, one source of truth.
Integration
Lakeflow ingests, transforms, and orchestrates: managed connectors bring your data in from wherever it sits, governed from day one.
Unity Catalog
Unified governance, lineage, and access control across data and AI.
Genie and agentic AI
Conversational analytics with Genie, AI/BI Dashboards for reporting, and enterprise-grade agentic AI grounded in the context of your business.
The migration engine: accelerators, AI agents, and Databricks tooling
Machinery, not manpower. Our accelerators and agentic AI, combined with Databricks native tools, take you from legacy estate to lakehouse wave by wave.
Ingestion Accelerator
New data sources onboarded through configuration, not code, on Databricks-native ingestion.
Transformation Accelerator
Standardised medallion transformations with data quality and lineage built in. Days, not weeks.
Automated by design
Fully automated deployments relying on CI/CD tools and declarative Databricks Asset Bundles.
LakeBridge
Automated assessment, conversion, and validation of legacy SQL and PL/SQL, with complexity scoring per object.
Brickster: agentic AI migrations
Our own agentic AI platform that converts SQL Server, Synapse, and Oracle workloads into Spark SQL, notebooks, and declarative pipelines. AI does the heavy conversion; engineers own the result.
A real partnership, not a logo
- ✓We are present at Databricks events, including the Data + AI Summit in San Francisco. Read our Summit 2026 takeaways →
- ✓We co-host Databricks webinars to help enterprises become AI-native, not just adopt a tool. Watch a recent webinar →
- ✓We publish best practices on Databricks architecture. Read the compute-layer guide →
Questions buyers ask
Direct answers to what enterprise buyers actually ask.
Yes. Databricks is mindit.io's main strategic partner and primary platform. We are a Certified Databricks Partner with 15+ lakehouse platforms delivered, migration and greenfield, across Retail, Banking, Food, and Travel, and we operate the 3rd largest retail data lakehouse in Europe.
We treat it as a business transformation, not a technical migration. We move your data onto one governed Databricks platform, then redesign how your teams and processes work so the whole operation runs AI-native, from analytics to production AI.
Yes. We have migrated Oracle, Cloudera, SQL Server, and Synapse environments, including a 350TB migration for a top EU retail bank, using Databricks LakeBridge, our own accelerators, and Brickster, our agentic AI migration platform.
We built Brickster, our agentic AI migration platform. It converts legacy code into Spark SQL, notebooks, and declarative pipelines, with engineers in the loop and every unit validated until it meets the bar. Cost and quality are tracked in MLflow.
Both. We choose per workload on three decision drivers: operational complexity, automation versus control, and sustainable delivery speed. Spark Declarative Pipelines are native to Databricks and cut operational overhead; dbt preserves portability and full control over transformation logic.
They are complementary planes, not competitors: the fabric sees it, the lakehouse runs it, the mesh owns it, and governance defines the rules. On Databricks we design all three, with the lakehouse as the data plane, mesh as the domain ownership model, and fabric-style visibility through Unity Catalog and federation.
Primarily Retail and Banking, with delivery in Food and Travel, for enterprises in Switzerland and Germany.
Most clients begin with a three to four week Data Infrastructure Assessment, which produces a clear architecture and migration plan with no long-term commitment.
We are DACH's most proven partner. We operate the 3rd largest retail data lakehouse in Europe, bring our own accelerators plus Brickster, our agentic AI migration platform, and treat Databricks adoption as a business transformation, not a technical project.
Yes. FinOps is built into every engagement. For one client we cut compute cost by more than 80 percent while making BI over 65 percent faster.
Yes. We build governance on Unity Catalog with full lineage and access control, mapped to GDPR, BCBS 239, FINMA, and BaFin for regulated Retail and Banking.
Yes. Azure is our primary cloud for Databricks, and we bridge SAP data into the lakehouse. Databricks, Microsoft, and SAP are our strategic partners.
Our Databricks point of view
We publish what we learn, so clients get a point of view, not guesswork.
Talk to our Databricks team
You speak directly with the practitioners who will run your engagement. No handoff, no script.