Data Stack Partners

The 9 data and AI platforms we ship in production: Tableau, Power BI, Snowflake, Databricks, Microsoft Fabric, Azure, AWS, Google Cloud, and dbt.

Technology partners

Semantic model design, Direct Lake mode, Copilot in Power BI, and dataset governance for Microsoft shops.

The platforms we ship in production. Multi-tool consulting, no vendor lock-in.

We do not pick a platform on principle. We pick what fits your existing tooling, your skill mix, and the workloads you actually run. Below are the platforms we have shipped in production at mid-market and Fortune 500 clients, grouped by the role each one plays best.

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The right platform depends on three things: the workload (BI vs. warehousing vs. ML vs. real-time), the existing stack (Microsoft shops should default to Fabric + Power BI; Salesforce shops to Tableau), and the team you have to operate it. We have shipped cross-platform stacks where Snowflake handles SQL warehousing, Databricks handles ML, and Power BI sits on top, and we have shipped single-vendor stacks where Microsoft Fabric covers everything end-to-end. Both are correct for the right context.

If you are deciding between two or three of these platforms, the comparison content we have published is the right starting point. Or skip ahead to the 30-day Analytics Truth Audit and we will recommend the stack that maps to your environment, with the cost math and a 90-day implementation plan.

Start with a 30-day Analytics Truth Audit. We map your current data estate, recommend the platform mix that fits, and ship a 90-day implementation plan with the cost math.