Trifacta is a platform for exploring and preparing data for analysis. Trifacta works with cloud and on-premises data platforms.
Trifacta is designed to allow analysts to explore, transform and enrich raw, diverse data into clean and structured formats for analysis through self-service data preparation. Trifacta's approach focuses on utilizing the latest techniques in machine learning, data visualization, human-computer interaction and parallel processing and allows non-technical users who have the most context for the data to quickly make the data ready for a variety of business processes such as analytics.
Headquartered in San Francisco, Trifacta has offices in Boston, Berlin and London. The company was founded in October 2012.
Video Trifacta
History
The company was developed from a joint research project with Ph.D. and UC Berkeley Professor Joe Hellerstein, Ph.D. and University of Washington and former Stanford professor Jeffrey Heer, and Stanford Ph.D. Sean Kandel. The company created a software application that combines visual interaction with intelligent inference for the process of data transformation and was launched in October 2012; to date, Trifacta has raised over $76 million in funding from Accel Partners, Greylock Partners, Ignition Partners and Cathay Innovation. The company also has investments from X/Seed Capital, Data Collective and angel investors Dave Goldberg, Venky Harinarayan and Anand Rajaraman.
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History Milestones
- May 2010: U Potter's Wheel: An Interactive Data Cleaning System
- Feb 2011: Launch of Data Wrangler Alpha
- April 2012: Trifacta founded by Joe Hellerstein, Jeffrey Heer, and Sean Kandel
- October 2012: Series A Funding $4.3M from Accel, Led by Ping Li, head of the firm's Big Data Fund
- April 2013: Alpha release of Trifacta Data Transformation
- December 2013: Series B funding $12M led by Greylock and Joseph Ansanelli of Greylock joined the board
- February 2014: Data Transformation Platform 1.0 Introduced
- March 2014: Strategic partnership formed with Cloudera
- April 2014: Trifacta named "One of the 10 Hot Hadoop Start Ups to Watch", Opens San Francisco Office
- May 2014: Series C Funding $25M led by Ignition and Ignition's Frank Artale joined the board
- July 2014: Adam Wilson Joins Trifacta as CEO
- October 2015: Trifacta Wrangler launches
- December 2015: Expands to Europe, Opens London Office
- February 2016: 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.
- November 2016: Recognized by IDC Innovator for Self-Service Data Preparation
- March 2016: Trifacta Introduces Photon Compute Framework
- March 2017: Collaborates with Google to create Google Cloud Dataprep, Named Leader in The Forrester Wave(TM): Data Preparation Tools, Trifacta
Products
Trifacta has three products, Trifacta Wrangler, Wrangler Edge, and Trifacta Wrangler Enterprise. Trifacta Wrangler is a connected desktop application that lets users transform data for downstream analytics and visualization. Wrangler Edge gives support for multiple users, larger data volumes, broader connectivity, cloud, and on-premises deployment options, and the ability to schedule and operationalize wrangling workflows. Wrangler Enterprises lets analyst teams in an organization use self-service to explore and transform data with a centralized management of security, governance and operationalization.
With the Spring 2017 release, Trifacta Wrangler Enterprise features include expanded self-service scheduling and flow view, enhanced collaboration, increased sampling flexibility, and context aware wrangling tasks. Wrangler Edge is a platform designed for analyst teams wrangling diverse data outside of big data environments.
In March 2017, Google announced the launch of Cloud Dataprep, a service that lets people clean up their data sets before pushing it into a service like Google's BigQuery managed data warehousing service. The software is an embedded version of Trifacta's Wrangler Enterprise app.
See also
- Data wrangling
- Data preparation
- Data transformation
References
Source of the article : Wikipedia
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