September 24, 2016 8:24 PM ET


Company Overview of Trifacta Inc.

Company Overview

Trifacta Inc. develops and provides data wrangling solutions for business, IT, and data analysts in the United States and internationally. It offers Wrangler, a solution for the preparation of data on desktop for analytic uses, such as visualization; and Wrangler Enterprise that enables analysts to explore and transform data of various shapes and sizes in Hadoop without writing code. The company was incorporated in 2012 and is based in San Francisco, California. It has operations in London and Berlin.

575 Market Street

11th Floor

San Francisco, CA 94105

United States

Founded in 2012



Key Executives for Trifacta Inc.

Chief Executive Officer and Director
Co-Founder, Chief Strategy Officer and Director
Co-Founder and Chief Experience Officer
Co-Founder and Chief Technical Officer
Vice President of Worldwide Field Operations
Compensation as of Fiscal Year 2016.

Trifacta Inc. Key Developments

Trifacta Announces Release of Trifacta v4

Trifacta announced the release of Trifacta v4. The latest release expands upon Trifacta's approach to data wrangling, with capabilities specifically designed to work for more users, more diverse data sources and within more cloud environments. Trifacta v4 features the general availability of Builder, a new menu-driven workflow to guide users through data wrangling steps. The latest release includes the general availability of the Photon Compute Engine, improving the scale of data that users are able to wrangle on-the-fly, directly within the Trifacta application. Photon provides an optimized engine for datasets that do not require parallel processing within Trifacta's Intelligent Execution architecture. The v4 release also expands support for customers deploying Trifacta in cloud environments such as Amazon Web Services, Google Cloud Platform and Microsoft Azure, while extending the ability of users to directly connect to a variety of enterprise data sources, including Microsoft SQL Server, MySQL, Oracle, PostgreSQL and Teradata. Enhanced User Experience: A core focus area of the v4 release is to enrich Trifacta's unique data wrangling user experience by offering a new workflow for building data preparation steps. The addition of Builder to the Trifacta interface augments the ability of users to wrangle data without the need to utilize scripts. Builder is designed to guide users through complex data wrangling tasks, providing greater ease-of-use whether simply selecting a suggested transform or using drop-down menu options to build wrangling steps from scratch. With Builder, the process of preparing data is dramatically simplified by intelligently breaking down the steps of each wrangling task to enhance how non-technical users handle common and complex data. The v4 release also expands upon Trifacta's blend of data visualization and machine learning to guide users through common data wrangling tasks. With pattern profiling, users visualize common and anomalous text patterns that are automatically detected within each column. The addition of fuzzy join allows users to blend together disparate data sources with similar values but non-exact matches. v4 also features the debut of column lineage, a breakthrough visual technique to expose the lineage of how each attribute or column within a dataset originated. With operationalization, v4 allows end users to set and manage end-to-end data wrangling workflows in a completely self-service process. Improved Performance & Scale: The latest version delivers greater performance and scale for working with data directly within the Trifacta application, and an optimized in-memory data processing engine for data sets that do not require parallel processing. The general availability of the Photon Compute Engine enables users to wrangle a 100x larger volume of data on-the-fly, directly within the application, while still maintaining the fluid experience and immediate feedback, both of which are core to Trifacta's user experience. For files, Photon enables users to transform entire data sets completely on-the-fly within the application, and also integrates seamlessly with Trifacta's Intelligent Execution architecture, complementing existing data processing engines Spark and MapReduce. Photon was specifically built to underpin Trifacta and provides unmatched performance and scale for data wrangling use cases when compared to other interactive computing engines. As part of v4, Trifacta has also enhanced support for executing transformations at scale, leveraging the Spark data processing framework by adding support for Spark 2.0. Extended Cloud Deployment and Data Source Connectivity: With v4, customers benefit from expanded support for deploying Trifacta in the cloud through integrations with Amazon Web Services, Google Cloud Platform and Microsoft Azure. For Amazon Web Services, Trifacta provides integration with Amazon S3 and Redshift as input and output sources and deployment on EC2. Trifacta v4 also supports the Google Cloud Platform ecosystem with support for Google Cloud Storage and BigQuery as input and output sources, data processing via Google Dataflow and deployment on Google Compute Engine. The Microsoft Azure cloud platform is also supported in v4. Trifacta adds support for deployment on Microsoft Azure HDI and can integrate data from Azure Blob Storage.

Trifacta Releases Trifacta V3

Trifacta announced the release of Trifacta v3. This latest release establishes the requirements of enterprise-grade data governance for data wrangling. Trifacta v3 features an array of new User Experience enhancements designed to empower a broad continuum of users, from business analysts to data scientists, with the ability to productively wrangle data. Establishing Enterprise Data Governance for Data Wrangling Trifacta v3 introduces collaborative, enterprise data governance and establishes the security, metadata and lineage, and operationalization requirements necessary for data wrangling environments on Hadoop. Security: Rather than implement a separate security framework, the company’s latest release builds upon existing Hadoop security standards, including Kerberos. This allows IT departments to manage security within the company and Hadoop in parallel, eliminating the need for a separate framework. Metadata and Lineage: With the integration of Cloudera Navigator, support for the Hive metastore and lineage visibility within Trifacta, v3 augments the transfer and visibility of metadata and lineage created through the wrangling process. Operationalization: With added support for enterprise schedulers Kronos and Tidal, Trifacta v3 enables advanced operational transformation workflows created in the company to run on specific schedules, according to the production requirements of organizational IT teams. User Empowerment through Innovative User Experience Historically, data wrangling discovering, structuring, cleaning, enriching, validating and publishing data has accounted for up to 80% of the analysis cycle and required highly technical individuals to perform manual coding or work with technical workflow mapping environments unfit for big, diverse data. The latest Trifacta release expands on the product's intuitive visual interface with increasingly intelligent transform suggestions and greater connectivity to popular data sources. Productivity: In Trifacta v3, users can leverage a variety of different options when defining transformation logic to cater to different levels of technical ability. This release introduces Transformation Suggestion Cards, visual "card" representations of the company’s intelligent transform suggestions, allowing a user to work in a framework that best fits their skill level. Intelligence & Learning: The v3 release introduced Automated Multi-Step Transforms designed to identify each delimiter or markup element within a dataset and automatically parse them out upon dataset registration to further accelerate the wrangling process. Connectivity Trifacta v3 expands connectivity to popular enterprise data sources with added support for connecting to an array of data sources including, AWS S3, XLS files, Hive and more.

Trifacta Appoints Dan Niemann as Vice President of Worldwide Field Operations

Trifacta announced that Dan Niemann joined the company as vice president of worldwide field operations. Niemann has over 15 years of experience growing technology companies and has held entrepreneurial roles at both established vendors and startups. He joins Trifacta from Informatica and is responsible for Trifacta's field operations, business development and sales strategy. Prior to Trifacta, Niemann managed alliances and sales at Informatica for a number of new initiatives, including the company's first real-time and cloud product offerings.

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