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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Real user data aggregated to summarize the product performance and customer experience.
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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
88 Satisfaction of Cost Relative to Value
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?
Pros
- Helps Innovate
- Trustworthy
- Client Friendly Policies
- Acts with Integrity
How to read the Emotional Footprint
The Net Emotional Footprint measures high-level user sentiment towards particular product offerings. It aggregates emotional response ratings for various dimensions of the vendor-client relationship and product effectiveness, creating a powerful indicator of overall user feeling toward the vendor and product.
While purchasing decisions shouldn't be based on emotion, it's valuable to know what kind of emotional response the vendor you're considering elicits from their users.
Footprint
Negative
Neutral
Positive
Feature Ratings
Data Profiling
Data Cleansing
Data Enrichment
Dashboard
Data Source Connectivity
Record Management
Data Matching
Geocoding
Reporting Components
Data Monitoring and Administration
Record Deduplication
Vendor Capability Ratings
Ease of Implementation
Vendor Support
Ease of Data Integration
Usability and Intuitiveness
Business Value Created
Breadth of Features
Product Strategy and Rate of Improvement
Ease of Customization
Availability and Quality of Training
Quality of Features
Ease of IT Administration
Talend Data Quality Reviews
Tushar V.
- Role: Finance
- Industry: Finance
- Involvement: End User of Application
Submitted Jul 2024
Amazing product
Likeliness to Recommend
What differentiates Talend Data Quality from other similar products?
It has better customer service than the competitor's product and helps to resolve the queries if it's users.
What is your favorite aspect of this product?
It can be easily implemented to meet the organizational goals. It has better UI and is easy to use.
What do you dislike most about this product?
It is costly for some users.
What recommendations would you give to someone considering this product?
Go for it!
Pros
- Helps Innovate
- Continually Improving Product
- Reliable
- Performance Enhancing
Sunny S.
- Role: Information Technology
- Industry: Banking
- Involvement: IT Leader or Manager
Submitted Jun 2024
Effective Data quality product
Likeliness to Recommend
What differentiates Talend Data Quality from other similar products?
Solution for High volume transactions
What is your favorite aspect of this product?
Data profiling
What do you dislike most about this product?
Can say anything at the moment
What recommendations would you give to someone considering this product?
effective and fit- for -purpose solution
Pros
- Reliable
- Performance Enhancing
- Trustworthy
- Unique Features
Sakshi d.
- Role: Information Technology
- Industry: Healthcare
- Involvement: IT Development, Integration, and Administration
Submitted Jul 2025
Talend : Powerful Data Cleansing Innovator
Likeliness to Recommend
What differentiates Talend Data Quality from other similar products?
It stands out with its open-source roots, real-time profiling via Talend Trust Score, and machine learning-driven cleansing, unlike competitors’ rigid, less scalable tools, boosting our Next.js data workflows efficiently.
What is your favorite aspect of this product?
I love it's real-time data profiling—it quickly identifies anomalies in our Next.js datasets, boosting accuracy by 20%. The open-source flexibility with custom scripts also saves time in data pipelines.
What do you dislike most about this product?
I dislike Talend Data Quality’s slow initial setup most—complex configurations and limited UI feedback delay integration, requiring manual tweaks that disrupt agile development cycles.
What recommendations would you give to someone considering this product?
I would recommend integrating Talend Data Quality with Talend Data Fabric for seamless data management. Use its robust data profiling to assess quality upfront. Optimize memory settings to handle large datasets efficiently
Pros
- Helps Innovate
- Reliable
- Enables Productivity
- Trustworthy
