Type Private Headquarters San Francisco | Founded 2012 Area served Worldwide | |
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Industry Data wrangling & exploratory analysis Number of locations San Francisco, Palo Alto, Boston, Berlin and London | ||
Trifacta is a platform for preparing data for analysis. Trifacta is compliant in Hadoop using Spark or MapReduce.
Contents
Headquartered in San Francisco, Trifacta has offices in Palo Alto, Boston, Berlin and London. The company was launched in October 2012.
History
Trifacta was developed from a joint research project with Ph.D. and UC Berkeley Professor Joe Hellerstein , Ph.D. and University of Washington and formerly Stanford professor Jeffrey Heer, and Stanford Ph.D. Sean Kandel. It created a software application that combines visual interaction with intelligent inference for the process of data transformation and was launched in October 2012; it received $4.3 million in Series A funding from Accel Partners led by Ping Li, head of the firm’s Big Data Fund. It received $12 million in Series B funding from Greylock Partners and Accel Partners, with Joseph Ansanelli of Greylock joining the board. In its Series C funding, Trifacta received $25 million as Frank Artale from Ignition joined the board. Most recently, Trifacta raised $35M from existing investors Accel Partners, Greylock Partners, Ignition Partners and new investor Cathay Innovation, bringing the total amount raised to over $76 million. The company also has investments from X/Seed Capital, Data Collective and angel investors Dave Goldberg, Venky Harinarayan and Anand Rajaraman.
Trifacta’s advisors include Tim O'Reilly, New York Times visualization specialist (and former Heer student) Michael Bostock, Cloudera co-founder and chief scientist Jeff Hammerbacher, DJ Patil, and professors Sam Madden (MIT); Maneesh Agrawala (University of California Berkeley), Michael Bernstein (Stanford University) and Carlos Guestrin (University of Washington).
Software
Trifacta is a data preparation application that claims to enable users to transform complex data into structured formats for analysis. Their data wrangling experience is made up of six steps as outlined by Data Scientist Tye Rattenbury, discovering, structuring, cleaning, enriching, validating and publishing. User can select elements to prompt transformation suggestions and use predictive transformation to preview a transform, intelligent execution for MapReduce, Spark and Javascript compilation, and collaborative data governance.
Trifacta has two products, Trifacta Wrangler and Trifacta Wrangler Enterprise. Trifacta Wrangler is a connected desktop application that allows users to transform their data for a variety of downstream analytic and visualization uses such as Tableau. and Trifacta Wrangler Enterprise is claimed to improve an enterprise's big data by enabling users to turn raw, complex data into more structured formats.