Talend

Talend Data Preparation

Composite Score

7.1 /10

CX Score

7.9 /10

17 Reviews Write a Review

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What is Talend Data Preparation?

It can be challenging to collect the right data from diverse sources, and an even bigger challenge to do so at the speed your business demands. Talend provides a unified approach that combines rapid data integration, transformation, and mapping with automated quality checks to ensure trustworthy data every step of the way.

Company Details

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Talend Data Preparation Ratings

Real user data aggregated to summarize the product performance and customer experience.
Download the entire Product Scorecard to access more information on Talend Data Preparation.

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

78 Likeliness to Recommend

3
Since last award

100 Plan to Renew

75 Satisfaction of Cost Relative to Value

4
Since last award

Product Experience

Negotiation and Contract

Conflict Resolution

Strategy & Innovation

Service Experience

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Emotional Footprint Overview

Product Experience:: 97%
Negotiation and Contract:: 90%
Conflict Resolution:: 95%
Strategy & Innovation:: 96%
Service Experience:: 89%

Product scores listed below represent current data. This may be different from data contained in reports and awards, which express data as of their publication date.

+94 Net Emotional Footprint

The emotional sentiment held by end users of the software based on their experience with the vendor. Responses are captured on an eight-point scale.

How much do users love Talend Data Preparation?

0% Negative

0% Neutral

100% Positive

Pros

Helps Innovate
Continually Improving Product
Reliable
Enables Productivity

Feature Ratings

Average 75

Data Security

Collaboration

Data Modelling Tools

Self Service and Ad Hoc Capabilities

Data Discovery and Search

Data Integration

Data Cleansing

Cataloging

Data Packaging

Data Labeling

Metadata Management

Vendor Capability Ratings

Average 72

Ease of Data Integration

Business Value Created

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Breadth of Features

Quality of Features

Ease of Customization

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Vendor Support

Talend Data Preparation Reviews

Olivia C.

Role: Information Technology
Industry: Technology
Involvement: End User of Application

Validated Review

Verified Reviewer

Submitted Jun 2022

Connect to multiple databases.

Likeliness to Recommend

9 /10

What differentiates Talend Data Preparation from other similar products?

I've used Tableau, and both platforms are very flexible, making it easy to access multiple databases, including Oracle, SQL Server, Postgres, and Snowflake. It can process and perform massive data migrations without any problem.

What is your favorite aspect of this product?

I like the user interface and it is very intuitive. It's perfect for extract transformation payload (ETL). Data can be extracted thanks to access to various databases, including Oracle, SQL Server, Postgres, Snowflake and Excel.

What do you dislike most about this product?

Talend Data Integration can meet your data integration needs in any way.

What recommendations would you give to someone considering this product?

Talend is very useful if you need to transform and pre-process millions of data.

Pros

Efficient Service
Effective Service
Helps Innovate
Continually Improving Product

Talend Data Preparation

What is Talend Data Preparation?

Company Details

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Awards & Recognition

Talend Data Preparation Ratings

78 Likeliness to Recommend

3 Since last award

100 Plan to Renew

75 Satisfaction of Cost Relative to Value

4 Since last award

Emotional Footprint Overview

Emotional Footprint Overview

+94 Net Emotional Footprint

How much do users love Talend Data Preparation?

Chart

Pros

Feature Ratings Average rating of all product features, some of which may not be shown below

Data Security Includes ability to hide sensitive data by masking with special characters or anonymous information.

Collaboration Includes ability to view, share and direct work between co-workers in real or near real-time.

Data Modelling Tools Includes ability to model complex relationships between internal application sources and other parties.

Self Service and Ad Hoc Capabilities Selected user groups are able to interact with BI data, slice and dice, and find answers on their own.

Data Discovery and Search Data exploration and search capabilities enabling business users to perform their own analyses and build insights.

Data Integration Includes integration of data from multiple sources, merging systems, transforming data and capture data to form a unified view of a company's data assets

Data Cleansing Includes data auditing, workflow specification, post-processing, and controlling. such as address standardization and the correction of known invalid values.

Cataloging Interactive graphical exploratory data analysis through immersive interfaces.

Data Packaging Creating technology-specific data repository design optimized for a consumption use case, e.g.: time-series database, muti-dimensional cube, graph database, etc

Data Labeling Ability to annotate/ label data to create a training data set.

Metadata Management A metadata layer makes reporting easy and eliminates the need for coding and SQL, allowing users to see and access information in simple business language.

Vendor Capability Ratings Average rating of all vendor capabilities, some of which may not be shown below

Ease of Data Integration Use this data to determine whether the product will cause headaches or make data integration easy.

Business Value Created Software needs to create value for employees, customers, partners, and, ultimately, shareholders. This data expresses user satisfaction - or lack thereof - with the product's business value.

Product Strategy and Rate of Improvement Vendors who don't stay on top of emerging needs and trends won't enable you to meet your business goals. Use this data to separate innovators from imposters.

Usability and Intuitiveness End user learning curves cost the organization money. Pay attention to your end users' technical ability to determine how important UX is in your purchase.

Breadth of Features Users prefer feature rich software that enables them to perform diverse series of tasks. This data expresses user satisfaction with the product's breadth of features.

Quality of Features Feature quality is just as important as quantity. Use this data to determine if this product will do what you're purchasing it to do, easily, intuitively, reliably, and effectively.

Ease of Customization Don't get bogged down in a difficult customization; use this data to make sure you can easily achieve the functionality you need for your particular situation.

Ease of IT Administration This data indicates whether IT personnel will be able to resolve issues and perform configurations efficiently and effectively.

Ease of Implementation Successfully implementing new software is necessary to realize its full value and promote end user adoption. This data indicates whether or not the product is easy to implement.

Availability and Quality of Training Effective and readily available training enables users to get the most out of the software you've chosen. Use this section to make sure your vendor's training programs and materials measure up.

Vendor Support The importance of vendor support will vary for each organization depending on internal capabilities, but there will always be issues that only the vendor can resolve.

Talend Data Preparation Reviews

Olivia C.

Connect to multiple databases.

Likeliness to Recommend

Pros

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Feature Ratings

Data Security

Collaboration

Data Modelling Tools

Self Service and Ad Hoc Capabilities

Data Discovery and Search

Data Integration

Data Cleansing

Cataloging

Data Packaging

Data Labeling

Metadata Management

Vendor Capability Ratings

Ease of Data Integration

Business Value Created

Product Strategy and Rate of Improvement

Usability and Intuitiveness

Breadth of Features

Quality of Features

Ease of Customization

Ease of IT Administration

Ease of Implementation

Availability and Quality of Training

Vendor Support