Our vision is to simplify the 
way people work with data

The history of Trifacta

Trifacta started with three. But now we’re many. Trifacta originally was born out of joint research between UC Berkeley & Stanford but has grown to include a wide range of talented individuals focused on creating radical productivity for people who analyze data.

At Trifacta, we know that the key to winning with Big Data lies with people. That’s why our innovations focus on the user experience—to provide radical productivity gains for data professionals, and enable business analysts to work directly with Big Data. The result: faster, better decisions across the organization.

Our technical vision focuses on connecting human intuition with computational power. Analysts get clear visibility and light touchpoints on massive data; algorithms extract signals and patterns from data and user behavior; interfaces surface machine suggestions and visualizations for further human attention.

For the user, the experience is simply an intuitive, agile new way of working with data.

Success in the 21st century depends on leveraging the data at your disposal. Yet for many organizations, data still seems too complex, varied and vast to be useful on a daily basis. Trifacta’s mission is to change all that, and enable you to quickly transform Big Data from a burden into a strategic asset.


Awards and Recognition:

CRN - The 10 Coolest Big Data Products

"Big data can be messy. Trifacta attracted a lot of attention this year with its data transformation platform that uses visualization, machine learning and "predictive interaction" technology to "easily transform raw, complex data [in Hadoop] into clean and structured formats" for analysis."


"An example of a company to watch in this space is Trifacta, which enables both technical and non-technical analysts to access and transform raw data into actionable data."

CIO - 10 Hot Hadoop Startups to Watch

“Trifacta observes both user behavior and properties of the data to anticipate the user's intent and make suggestions without the need for specification. As a result, the cumbersome task of data transformation becomes far more agile and efficient than traditional approaches."

New York Times

"Trifacta makes a tool for data professionals. Its software employs machine-learning technology to find, present and suggest types of data that might be useful for a data scientist to see and explore, depending on the task at hand."


"Trifacta designed a “readable” DSL for data wrangling but goes one step further: their users “live in visualizations, not code.” Their elegant visual interface is designed to accomplish most data wrangling tasks, but it also lets users access and modify accompanying scripts written in their DSL."

We’re transforming the way the world works with data.


We’re looking for great people to become part of the transformation.