Data Wrangling for Teams
Department-wide initiatives require more than one analyst to get the job done. Teams must tackle messy data together, automate processes when necessary, and publish their work to the right downstream applications.
Wrangler Edge is specifically designed to make this process faster for teams that don’t require the parallel computing power of big data platforms. Powered by our high-performance data wrangling engine, analysts can share the process of exploring, structuring, and publishing out analysis-ready datasets for faster, more accurate analysis.
Benefits of Wrangler Edge
Wrangler Edge includes all of the core aspects of Trifacta’s award-winning data wrangling experienceLearn More
Design, adjust and execute wrangling recipes in record time with in-memory processing powered by Photon
Managed Cloud Deployment
With Wrangler Edge you can chose to deploy and manage on your own cloud infrastructure through the AWS Marketplace or have us manage everything for you – it’s up to you!
Leverage a Shared Platform
Seamless visibility and collaboration amongst teams by utilizing a common platform for data preparation
Operationalize Wrangling Workflows
Automate wrangling operations that span across multiple datasets and recipes for consistent, repeatable outputs
What Wrangler Edge Users Are Saying
At AstraZeneca, this pain led many of our analysts to seek out and start using Trifacta’s free Wrangler product for greater efficiency wrangling small desktop files. With the launch of Wrangler Edge, we’re excited to scale out these efforts by providing a common platform for our analyst teams to collaborate and operationalize their data wrangling workflows.
I consider Trifacta to be one of the most innovative and user-friendly data wrangling tools on the market, with the potential for use in countless business scenarios. Beyond a fully capable desktop app, we’re excited about the launch of Wrangler Edge adding more powerful computing resources and schedulable jobs.
With the launch of Wrangler Edge, we are excited to see Trifacta package their breakthrough data wrangling solution for use outside of Hadoop and believe many Tableau customers will benefit from leveraging Edge for data preparation.
- Excel formats – XLS, XLSX
- Tableau Data Extract
- AWS Redshift
- AWS S3
- IBM DB2
- IBM DB2 / zOS
- IBM Informix
- Microsoft SQL Server
- Oracle Database
- Pivotal Greenplum
- Progress Open Edge
- SAP Sybase
- Teradata Data Warehouse
- Force.com Applications
- Tableau Server
- RedHat Linux 6 & 7
- CentOS 6 & 7
- Ubuntu 14.04
Hosted cloud environment. Memory and cores can scale to meet workload requirements.
Enterprise support provided by Trifacta.