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#74

Trifacta is ranked #74 in the Data Discovery Tools product directory based on the latest available data collected by SelectHub. Compare the leaders with our In-Depth Report.

Trifacta Pricing

Based on our most recent analysis, Trifacta pricing starts at $0.

Price
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Starting From
$0
Pricing Model
Still gathering data
Free Trial
Yes, Request for Free

Training Resources

Trifacta is supported with the following types of training:

Documentation
In Person
Live Online
Videos
Webinars

Support

The following support services are available for Trifacta:

Email
Phone
Chat
FAQ
Forum
Help Desk
Knowledge Base
Tickets
Training
24/7 Live Support

Trifacta Benefits and Insights

Why use Trifacta?

Key differentiators & advantages of Trifacta

  • Aggregate Data: Combine data from multiple sources to derive useful insights and discover new trends, patterns and relationships. 
  • Clean Data: Fill in missing values, identify and fix errors, eliminate outliers and determine if the data values are in correct rows and columns for advanced analysis. 
  • Facilitate Collaboration: Democratize data to facilitate collaboration with built-in collaborative capabilities. Sharing across teams accelerates innovation. 
  • Transform Unstructured Data: Assess distributions and patterns in data, identify anomalies and automate and orchestrate robust data pipelines to transform unstructured data into valuable information. 

Industry Expertise

It caters to financial services, healthcare and life sciences, manufacturing and supply chain, retail operations, government and public sector industries.

Trifacta Reviews

Based on our most recent analysis, Trifacta reviews indicate a 'excellent' User Satisfaction Rating of 100% based on 1 user reviews from 1 recognized software review sites.

User satisfaction level icon: excellent

1 reviews

100%

of users would recommend this product

Key Features

Trifacta

  • Adaptive Data Quality: Discover and validate data quality issues. Build statistical data profiles to identify complex patterns and suggest quality rules like data constraints, formatting patterns and column dependencies. 
  • Data Clustering: Identify similar values within data to form clusters. Leverage intelligent algorithms to compare values and ensure standardization across clusters. 
  • Data Pipelines: Model data flows while managing relationships across data sets and recipes. Monitor point-in-time and historical data quality trends for proactive alerting. 
  • Collaboration and Sharing: Share workflows, recipes and pipelines with the right permissions to streamline data operations. Use collective intelligence of the teams to make robust decisions. 
  • Data Munging: Gauge outliers and value distribution in the dataset to inform the analysis process. Separate, blend and un-nest the datasets to visualize and explore. Eliminate inconsistencies such as null and missing values to standardize the data. 

Limitations

At the time of this review, these are the limitations according to user feedback:

  •  Slow when preparing data and creating/loading samples. 
  •  Lacks statistical modules for analysis and predictive modeling. 
  •  Limited number formats and data types. 
  •  Lacks intuitive user interface. 

Suite Support

mail_outlineEmail: Not mentioned.
phonePhone: +1 (415) 226-4252.
schoolTraining: Offers comprehensive knowledge base, technical documentation, online training and certifications.
local_offerTickets: Register on the customer support community with a corporate email address. The support team responds with designated SLAs.

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