Why Databricks and Sigma Work Better Together

At Brooklyn Data, we’ve worked with dozens of teams trying to turn large, messy data into real, usable insight. What we’ve seen time and again is this: storing data is the easy part. Making it useful — that’s where the real challenge begins.

That’s why we often bring Databricks and Sigma into the conversation. On their own, they’re best-in-class. However, when used together, they unlock a modern data flow that connects engineering to insight, while enabling real-time decision-making for everyone.

Why Databricks and Sigma are Better Together

Databricks is a unified analytics platform built for scale. It can handle raw, semi-structured data, power machine learning workflows, and support complex data engineering across massive datasets, all in a compliant, cloud-native environment.

Sigma is a modern business intelligence (BI) tool built for the cloud. Its spreadsheet-style interface makes it easy for analysts and operators to explore live data without writing SQL or waiting on a data team to create a dashboard.

Together, Databricks and Sigma deliver real business value to your organization by solving three core problems.

1. From Raw to Refined, End-to-End

Databricks is the engine behind the scenes: cleansing, transforming, and modeling raw data in Delta Lake. Sigma sits on top, enabling your teams to explore that data live, in context, and at scale. With no extracts, no lag, and no more "what am I even looking at?" moments, your teams can work with accurate, real-time data directly from the source. 

2. Self-Service Without Sacrificing Control

Databricks supports strong governance, model versioning, and security. Sigma makes that clean, trusted data accessible to your business in a familiar interface. The result? Business users can ask more thorough questions without your data team’s help. And your engineers can stop babysitting reports and focus on higher-leverage work. 

3. Machine Learning That Doesn’t Stall at the Finish Line

Databricks makes it easier to train and deploy machine learning models. But without visibility into model outputs, your business stakeholders are in the dark. With Sigma, your teams can monitor those outputs, build dashboards on predictions, and use the results in real decisions, faster.

The Business Impact of Leveraging Databricks and Sigma

When used together, Databricks and Sigma help you:

• Make decisions faster by connecting data pipelines to live self-service tools
• Reduce bottlenecks by empowering business users to explore data independently
• Increase ROI on your data investments by putting the right insights in the right hands

We’ve helped companies transform legacy Excel workflows into robust, enterprise-grade dashboards on modern data platforms. We’ve also supported teams in embedding powerful BI tools into their client experiences, delivering real-time insights that drive smarter decisions for leading brands. We’re here to help you unlock the full potential of your data, no matter where you’re starting from.

Turning Insight into Impact

If your organization has goals for becoming more data-driven, it’s not enough to simply store and process data — your teams must activate it. Databricks and Sigma, used together, break down silos between data engineering and business analysis. The result is a modern data stack that empowers your teams to make faster, better-informed decisions, driving competitive advantage in the process.

If you're trying to get more out of Databricks or Sigma, or finally connect the two, let’s talk. Whether you need a foundation built right the first time or a fast path to self-service analytics, we’re here to help.