Data engineer business intelligence software
Data engineers are highly trained experts on collecting and wrangling data, yet often spend too much time rebuilding each time they get a new request. Sigma enables engineers to reduce one-off requests and focus on higher value projects like reliable data pipelines, more comprehensive data models, and integrating technologies like Snowpark, dbt, and Databricks.
Develop faster as a team
Collaborate in real time with your team, significantly reducing development time. With Sigma, engineers and analysts can collaborate and iterate on data, metrics, and models — leaving a trail of SQL that can be used for audit and optimization.
Work with all of your data
Connect to tables and existing datasets, upload your own data, or query your data warehouse directly. No data movement required. Curate datasets and data models, add formulas and metrics in minutes.
Optimize your data for speed and scale
Sigma enables Rapid Data Prototyping like you've never experienced before. Profile the data, fix data quality problems, and examine row-level details. Deploy datasets in a format business users already know — Sigma's spreadsheet-like UI is instantly recognizable, boosting adoption. Write back to your cloud data warehouse using Input Tables to operationalize your data.
Customer stories
How data teams ship faster, scale further, and free up time with Sigma.
Customer Story“If you had told me a year ago that we were going to switch embedded analytics' providers, I would’ve told you, you were crazy. Looker was integrated throughout our application. However, after running into enough roadblocks, limitations, and support issues, we started searching for alternatives and finally implemented Sigma.”
Activate your data warehouse
Stop buying a new tool for every workflow. Build it once on governed data, then scale it across the business.