Technologies

A modern, proven stack, chosen for your situation.

We're not tied to a single vendor. Here's what we build with most often, and when each one actually makes sense.

Google's serverless, columnar data warehouse, our default choice for teams that want fast analytics without managing infrastructure.

The open-source standard for orchestrating data pipelines as code, with clear visibility into what ran, when, and what failed.

Our default language for data engineering, data science, and automation; mature tooling, huge ecosystem, easy to hand off.

A rock-solid, open-source relational database, our default for operational data and smaller-scale analytical workloads.

Microsoft's BI platform, a strong default for organizations already standardized on Microsoft 365 and Azure.

A best-in-class visual analytics tool, especially strong for exploratory analysis and highly customized visualizations.

Google's free, lightweight reporting tool, a solid choice for straightforward dashboards without a large BI budget.

The broadest cloud platform available, our choice when a team's infrastructure is already AWS-based or needs its specific services.

Google Cloud, our most common recommendation for teams building a new analytics stack from scratch, largely because of BigQuery.

Already have a stack in place?

We work with what you already have as often as we recommend something new.