WhereScape Becomes a Validated Databricks ISV Partner: Automation Meets the Lakehouse

We’ve pleased to share that WhereScape has been formally recognized as a Validated Independent Software Vendor (ISV) partner for Databricks.

This upgrade to our Databricks partner status is far more than just a badge: it’s validation that our automation platform integrates cleanly with the Databricks Data Intelligence Platform, from medallion architecture to governed, production-grade pipelines. The partnership upgrade process consisted of a series of technical demos by WhereScape staff, who showcased how teams can go from model to running code on Databricks – fast, safely and at-scale.

If you already use Databricks (or plan to), you should know that you can rely on WhereScape to automate more of the heavy lifting: so your engineers spend less time stitching pieces together and more time delivering value.

What This Means for You

1. Confidence in our integration.
Our ‘Validated ISV’ partner status represents that Databricks has reviewed and validated the way we plug into their platform. If you’ve ever been burned by brittle connectors or one-off toolchains in the past, you know how much this matters for production reliability.

2. Speed without chaos.
Databricks gives you the power of data intelligence built on a lakehouse architecture. WhereScape builds upon that solid blueprint, by enabling efficiency increases of those pipelines and governed models: with up to 95% less manual coding and deployment cycles up to 8x faster. Less hand-coding, fewer copy-and-paste errors and a shorter path to your first (… or fifth) release.

3. Data governance built-in.
Data lineage, audit trails and documentation aren’t afterthoughts. With WhereScape, they’re generated as you build – so Unity Catalog governance and your model documentation stay in tight lockstep.

4. A partner with heritage.
WhereScape has more than 25 years of expertise in data automation across warehouses, lakehouses and everything else data-related in between. The validated ISV step simply formalizes what customers have experienced for years: automation that respects platform best practices.

What Integration Looks Like in Practice

Model once, deploy again and again.
Design your data products in WhereScape 3D, then export straight into WhereScape RED to generate platform-specific objects for Databricks – DDL, ELT and orchestration included. Your logical design becomes Spark SQL and operational code that runs on Databricks with proper dependencies.

Medallion, automated.
WhereScape aligns naturally to a medallion architecture:

• Bronze: land raw data quickly and consistently.
• Silver: standardize, conform and apply SCD/CDC using proven templates.
• Gold: publish dimensional models for analytics, with automation handling keys, hashes and load patterns.

Delta Lake friendly.
Generate ETL/ELT for Delta Lake or drive Databricks Notebooks: keeping execution close to the platform so you benefit from performance, reliability and native optimizations.

Unity Catalog awareness.
End-to-end lineage, documentation and role-based controls travel with your build. WhereScape’s automated documentation and lineage complement Unity Catalog, so governance is consistent from source to dashboard.

Operationally prepared.
From scheduling (including Azkaban support, for where that’s preferred) to integrated version control and CLI/API enhancements, the ‘day-2’ concerns – releases, rollbacks and audits – are all handled, without needing a shoebox of scripts.

Common Use Cases of WhereScape + Databricks

1. Fast starts on the lakehouse.
New to Databricks? WhereScape helps teams stand up Bronze/Silver/Gold quickly with templated patterns and generated code – so your first dashboards and models arrive in days, not months.

2. Migration acceleration.
Moving from a legacy warehouse? Reverse-engineer current schemas, generate equivalent objects for the lakehouse and cut the re-writing grind. WhereScape captures lineage and documentation as you go, de-risking each phase.

3. Governed self-service.
Because models and lineage are standardized and captured automatically, downstream BI teams don’t need to wrestle with raw data. Instead, they plug into curated Gold layers with a clear chain of custody – freeing analytics to move faster than ever, all without cutting corners.

4) 3NF, Kimball, Star Schema or Data Vault – all at Databricks speed.
Whether you favor Data Vault 2.0 or other models for agility and auditability, WhereScape generates hubs, links, satellites and optional PIT/bridge tables with hashing and change tracking embedded – all ready for Delta and Unity Catalog. Embracing Data Mesh? Ship domain ‘data products’ with ownership, lineage and access baked in.

A Quick Look ‘Under the Hood’ of WhereScape

Teams often ask where all the time savings from using WhereScape come from. The short answer is: metadata-driven automation.

1. Discover & profile. Scan sources, infer structures, spot data-quality red flags and capture relationships.
2. Design. Use 3D’s visual modeling to define the target architecture – star schema, Inmon or Data Vault – and map sources.
3. Convert. Apply model conversion rules (e.g., source → DV hubs/links/sats; Silver → Gold) without hand-building the same patterns 100 times.
4. Generate. RED produces the Databricks-ready code (DDL/ELT/SQL/py) and orchestration – all consistently.
5. Deploy & operate. Built-in scheduling, documentation and lineage mean each change lands with auditability intact.

That’s why teams see the dual benefit: faster delivery and stronger governance.

What This Means for Current Databricks Users

If you’re already on Databricks, you can keep your preferred workflows and add automation to improve where it ‘hurts’ the most:

• Unity Catalog: keep security and lineage centralized, while WhereScape keeps the documentation synced.
• Standards at scale: ensure SCD/CDC, naming, keys and scheduling are consistent across teams and domains.

And if you’re splitting time between governance tasks and building pipelines, the integrated automated documentation alone can give you hours back every week.

What This Means If You’re Evaluating Databricks

• Want a guided first sprint from source to medallion? Start in WhereScape 3D, export to WhereScape RED, and generate code that lands cleanly in your workspace.
• Planning a warehouse modernization? Use automation to de-risk scope and keep lineage intact through each step.
• Need governed self-service? Publish Gold models that analysts can use immediately, with confidence in definitions and provenance.

Either way, the validated ISV partnership means you don’t have to wonder whether the pieces will fit: they just do.

Thank You & Looking Ahead

To our users who pushed us to integrate deeper with Databricks (and sent us great feedback along the way): thank you. This upgraded partner status recognizes your real-world projects as much as it recognizes our joint engineering.

To Databricks, for your continued support, technical excellence and partnership – we extend our thanks too: here’s to many more years ahead.

If you’d like to see the power of our Databricks integration in action, book a live demo. We’ll show you how to go from a logical model to operational pipelines on Databricks – complete with lineage, documentation and schedules – all in a single session.

WhereScape x Databricks: validated, integrated and ready for your next release. Keep watching this space: we’re not done innovating with Databricks yet!