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Talend Data Quality Logo Award Winner Product Badge
Talend Data Quality Logo Award Winner Product Badge
Talend

Talend Data Quality

Composite Score
8.4 /10
CX Score
8.8 /10
Category
Talend Data Quality
8.4 /10

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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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.

89 Likeliness to Recommend

1
Since last award

98 Plan to Renew

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.

+98 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
2% Neutral
97% Positive

Pros

  • Helps Innovate
  • Trustworthy
  • Unique Features
  • Client Friendly Policies

Feature Ratings

Average 85

Data Cleansing

88

Data Matching

86

Data Profiling

86

Dashboard

85

Data Enrichment

84

Record Management

84

Record Deduplication

83

Usability

83

Geocoding

83

Data Source Connectivity

83

Reporting Components

83

Vendor Capability Ratings

Average 83

Ease of Implementation

86

Vendor Support

85

Business Value Created

83

Quality of Features

83

Usability and Intuitiveness

83

Ease of Customization

83

Ease of Data Integration

83

Breadth of Features

83

Availability and Quality of Training

82

Product Strategy and Rate of Improvement

81

Ease of IT Administration

81

Talend Data Quality Reviews

Kristi J.

  • Role: Finance
  • Industry: Retail
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted Jan 2023

Excellent and helpful data conditioning product

Likeliness to Recommend

9 /10

What differentiates Talend Data Quality from other similar products?

Talend Data Quality is the only system that our entire workforce and data teams appreciate when it comes to data real worth. This is the first tool that genuinely freed us from tedious activities and allowed us to distinguish between our valuable and useless data, while other tools only made empty promises. Quality Talked is more well-liked than competitors due to its extensive toolkit of just useful features.

What is your favorite aspect of this product?

We have a burdened repository of our customers' data. The Talend analytical approach, which is really awesome and reliable, enabled us to have access to high-quality and precise data, which helped us to ping customers again and increase our sales by leveraging truthful customer information. It is essential for all of our business divisions, on which we rely substantially on a daily basis.

What do you dislike most about this product?

A number of the sophisticated quality checks, such as pairing using a random or regular phrase, are really challenging but can be achieved using its material guidelines. It takes a lot of memory to use this application on our system.

What recommendations would you give to someone considering this product?

Talend Data Quality team consistently delivers the greatest product that properly cleans data and leads you to the correct point you really ought to draw conclusions. Talend is a more dependable and effective product, and I prefer using it over other tools when I need to make decisions using large amounts of data.

Pros

  • Performance Enhancing
  • Unique Features
  • Caring
  • Client Friendly Policies

Stefan H.

  • Role: Information Technology
  • Industry: Technology
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted Jan 2023

Robust innovation for data quality assurance

Likeliness to Recommend

9 /10

What differentiates Talend Data Quality from other similar products?

Talend Data Quality is an emerging tool in the market that is expanding all around the world due to its functionalities. Everything in the platform is easy to use and its drag-and-drop option saves our manual hours. Some more things that are more differentiable are cloud monitoring, usability, and database administration.

What is your favorite aspect of this product?

Talend saved our time because for me. It's not necessary to sit at a certain place and test files; everything in the to is automated like self-service, allowing users to generate the data and process it to finish the testing with a few clicks. This increases faith in the caliber of the deployment that takes place in production. As well, the outages have decreased.

What do you dislike most about this product?

I'm facing different issues while using Talend but what I want to say to add in upcoming releases it's speed. Although establishing a connection to the database is really difficult it should be easy. They are incapable of using AI. Talend DQ, which only provides data profiling, is intended for data quality. I need an ETL solution because I can't currently generate any reports with Talend DQ.

What recommendations would you give to someone considering this product?

Due to the fact that it not only offers a wide range of ready-to-use operations but also permits the use of complicated JavaScript inside the framework, it gives programmers a wide range of flexibility. I will recommend others to consider it before using any tool you can get what you want for your work.

Pros

  • Performance Enhancing
  • Trustworthy
  • Unique Features
  • Efficient Service

Abraham R.

  • Role: Sales Marketing
  • Industry: Manufacturing
  • Involvement: End User of Application
Validated Review
Verified Reviewer

Submitted Jan 2023

Greatly saved time

Likeliness to Recommend

9 /10

What differentiates Talend Data Quality from other similar products?

Its drag-and-drop feature is unique: we can easily and easily drag and drop objects to make changes rather than writing a bunch of Java code or SQL queries. Everything is extremely easy and appealing. I can quickly see where the work is falling short. Therefore, I only need to rapidly ascertain the cause of the issue before resolving it.

What is your favorite aspect of this product?

I adore its quality check features, such as schema matching with the source and sink, which are what we enjoyed the most. When the pipeline runs end to end, it helps to expedite the resolution of data issues. All of its features are really helpful for me like complete cloud monitoring, constructing and managing ETL/ELT pipelines, and overall platform usability.

What do you dislike most about this product?

Everything is perfect in Talend but one and most problematic thing about it is it requires more memory to use the tool and second its price is higher which can't be afforded by every organization. Although the speed of the tool is also slow.

What recommendations would you give to someone considering this product?

I would recommend it to you due to its seamlessly integrated with several databases. It features components that make it simple to interact with many on-premises or cloud-based databases. Our coders like it since the coding is simple to use.

Pros

  • Helps Innovate
  • Reliable
  • Unique Features
  • Efficient Service

Most Popular Talend Data Quality Comparisons

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