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Talend

Talend Data Quality

Composite Score

8.5 /10

CX Score

8.8 /10

79 Reviews Write a Review

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What is Talend Data Quality?

As an integral part of Talend Data Fabric, Data Quality profiles, cleans, and masks data in real time. Machine learning powers recommendations for addressing data quality issues as data flows through your systems. The convenient self-service interface is as intuitive for business users as technical users, fostering company-wide collaboration. Talend Data Quality delivers trusted data everywhere with easy onboarding, standards and rules application across all Talend integration platforms.

Company Details

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Awards & Recognition

Talend Data Quality won the following awards in the Data Quality category

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2 Top Rated Capabilities

2 Top Rated Features

Latest Award, 2025

2024 Emotional Footprint Champion

2024

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2024

2024 Data Quadrant Champion

2024

2 Top Rated Capabilities

1 Top Rated Features

2024

2023 Emotional Footprint Champion

2023

Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2023

2023 Data Quadrant Champion

2023

0 Top Rated Capabilities

3 Top Rated Features

2023

2022 Emotional Footprint Champion

2022

Strategy and Innovation
Service Experience
Product Impact
Contract Negotiation
Conflict Resolution

2022

2022 Data Quadrant Champion

2022

10 Top Rated Capabilities

9 Top Rated Features

2022

2021 Emotional Footprint Champion

2021

Talend Data Quality 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 Quality.

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.

87 Likeliness to Recommend

97 Plan to Renew

1
Since last award

88 Satisfaction of Cost Relative to Value

1
Since last award

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Emotional Footprint Overview

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.

+93 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 Quality?

1% Negative

3% Neutral

96% Positive

Pros

Helps Innovate
Trustworthy
Client Friendly Policies
Acts with Integrity

Feature Ratings

Average 83

Data Profiling

Data Cleansing

Dashboard

Data Enrichment

Data Matching

Data Source Connectivity

Record Management

Geocoding

Data Monitoring and Administration

Reporting Components

Record Deduplication

Vendor Capability Ratings

Average 81

Ease of Implementation

Vendor Support

Ease of Data Integration

Usability and Intuitiveness

Business Value Created

Breadth of Features

Ease of Customization

Product Strategy and Rate of Improvement

Availability and Quality of Training

Quality of Features

Ease of IT Administration

Talend Data Quality Reviews

Naina T.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Aug 2025

Robust Data Quality with Strong Integrations

Likeliness to Recommend

9 /10

What differentiates Talend Data Quality from other similar products?

Its seamless integration within the broader Talend Data Fabric platform, allowing end-to-end data management from ingestion to governance. I appreciate its strong open-source roots combined with enterprise-grade features, making it flexible and scalable..

What is your favorite aspect of this product?

Its comprehensive data profiling and cleansing capabilities, which help me quickly identify and fix data issues. I also value how it integrates smoothly with other Talend tools, making it easier to manage data pipelines end-to-end.

What do you dislike most about this product?

Its user interface can feel a bit complex and overwhelming, especially for beginners. Sometimes, the learning curve is steep, requiring significant time to become fully comfortable. Additionally, real-time data quality features are somewhat limited compared to some competitors.

What recommendations would you give to someone considering this product?

It’s important to clearly define your data quality goals before implementation to make the most of its features. If you already use Talend for data integration, this tool fits naturally into your workflow.

Pros

Reliable
Performance Enhancing
Unique Features
Effective Service

Shraddha T.

Role: Information Technology
Industry: Technology
Involvement: IT Development, Integration, and Administration

Validated Review

Verified Reviewer

Submitted Aug 2025

Robust and Powerful data quality tool

Likeliness to Recommend

9 /10

What differentiates Talend Data Quality from other similar products?

Its strong open-source foundation combined with enterprise-grade capabilities. I appreciate how well it integrates with other Talend tools and a wide range of data sources. Its data profiling, cleansing, and enrichment features are very robust. The ability to build reusable data quality rules also sets it apart from many other tools.

What is your favorite aspect of this product?

Its comprehensive approach to ensuring clean and reliable data across various sources. I like how it offers powerful data profiling and cleansing tools that help identify and fix issues quickly. The flexibility to create custom rules and workflows really helps tailor data quality processes to specific needs. It gives me confidence in the accuracy of my data.

What do you dislike most about this product?

Its interface can feel complex and overwhelming for new or non-technical users. Additionally, real-time data quality monitoring capabilities are somewhat limited. I also find that documentation and support could be improved for smoother onboarding.

What recommendations would you give to someone considering this product?

Make use of Talend’s community and support resources—they’re very helpful. Start by implementing core data quality processes before exploring advanced features. Also, evaluate how well it integrates with your existing data ecosystem to maximize its benefits.

Pros

Helps Innovate
Enables Productivity
Efficient Service
Effective Service

Frank A.

Role: Operations
Industry: Consulting
Involvement: Initial Implementation

Validated Review

Verified Reviewer

Submitted Dec 2024

Features are great but complex

Likeliness to Recommend

4 /10

What differentiates Talend Data Quality from other similar products?

Its lovely user interface

What is your favorite aspect of this product?

It has great user interface and design

What do you dislike most about this product?

Its functionality

What recommendations would you give to someone considering this product?

If you need it urgently, ensure you get experts experienced in the use of the product as it is complex

Cons

Vendor's Interest First
Under Delivered
Less Effective Service

Talend Data Quality

What is Talend Data Quality?

Company Details

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Awards & Recognition

2024 Emotional Footprint Champion

2024 Data Quadrant Champion

2023 Emotional Footprint Champion

2023 Data Quadrant Champion

2022 Emotional Footprint Champion

2022 Data Quadrant Champion

2021 Emotional Footprint Champion

Talend Data Quality Ratings

87 Likeliness to Recommend

97 Plan to Renew

1 Since last award

88 Satisfaction of Cost Relative to Value

1 Since last award

Emotional Footprint Overview

+93 Net Emotional Footprint

How much do users love Talend Data Quality?

Pros

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

Data Profiling Includes statistical analysis of data values to evaluate the frequency, distribution and completeness of data.

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

Dashboard Includes alerts and notifications, KPIs, visual analytics, and interactive features.

Data Enrichment Includes the enhancement of the value of internally held data by appending related attributes from external sources .

Data Matching Includes fuzzy matching, data comparison, and data merging.

Data Source Connectivity Includes abiity to connect to a wide selection of data source types and systems.

Record Management Includes ability for Data stewards to monitoring data quality, taking action to determine the root cause of flagged issues and recommending remediation actions.

Geocoding Includes geo-referencing, address validation and verification, data mapping, and data append.

Data Monitoring and Administration Includes ability to continuously monitored data quality rules, as well as generate alerts to notify data stewards when they need to address an issue.

Reporting Components Lightweight controls and components that are easily embeddable and reusable. Integration with common apps such as Word, Excel, etc.

Record Deduplication Identity resolution is the process of linking various records and is the main engine for record deduplication, which can enable some aspects of data cleansing.

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

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.

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.

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

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.

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.

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.

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.

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.

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.

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

Talend Data Quality Reviews

Naina T.

Robust Data Quality with Strong Integrations

Likeliness to Recommend

Pros

Shraddha T.

Robust and Powerful data quality tool

Likeliness to Recommend

Pros

Frank A.

Features are great but complex

Likeliness to Recommend

Cons

Most Popular Talend Data Quality Comparisons

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SAP Data Services

1
Since last award

1
Since last award

Feature Ratings

Data Profiling

Data Cleansing

Dashboard

Data Enrichment

Data Matching

Data Source Connectivity

Record Management

Geocoding

Data Monitoring and Administration

Reporting Components

Record Deduplication

Vendor Capability Ratings

Ease of Implementation

Vendor Support

Ease of Data Integration

Usability and Intuitiveness

Business Value Created

Breadth of Features

Ease of Customization

Product Strategy and Rate of Improvement

Availability and Quality of Training

Quality of Features

Ease of IT Administration