Syniti Data Quality vs Talend Data Quality comparison

Syniti and Talend are both solutions in the Data Quality category. Syniti is ranked #6 with an average rating of 8.5, while Talend is ranked #5 with an average rating of 8.0. Syniti holds a 6.3% mindshare in DQ, compared to Talend’s 4.7% mindshare. Additionally, 100% of Syniti users are willing to recommend the solution, compared to 89% of Talend users who would recommend it.

Syniti Data Quality

Read 4 Syniti Data Quality reviews

954 Views
954 Comparison Views

100% willing to recommend

Talend Data Quality

Read 20 Talend Data Quality reviews

1,368 Views
1,053 Comparison Views

89% willing to recommend

Syniti Data Quality

Talend Data Quality

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Executive SummaryUpdated on Jan 6, 2025

Talend Data Quality and Syniti Data Quality are major players in data quality solutions. Talend often leads in cost-effectiveness and support, while Syniti is favored for its comprehensive capabilities due to advanced features.

Features: Talend Data Quality includes data profiling, cleansing, and enrichment tools, and integrates with other Talend products for seamless data management. Syniti Data Quality focuses on sophisticated data governance, analytics capabilities, and solutions essential for strategic decision-making, catering to complex enterprise environments.

Ease of Deployment and Customer Service: Talend provides a straightforward deployment process and responsive customer support, allowing quick setup and minimal disruptions. Syniti's deployment is more complex due to its feature set and customization, with dedicated assistance often required initially.

Pricing and ROI: Talend generally offers lower upfront costs and competitive ROI, attracting budget-conscious organizations. Syniti requires higher initial investment but offers a superior ROI through its functionality, suitable for large-scale enterprises seeking long-term value.

To learn more, read our detailed Syniti Data Quality vs. Talend Data Quality Report (Updated: September 2025).

Buyer's Guide

Syniti Data Quality vs. Talend Data Quality

September 2025

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Helped 867,445 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Syniti Data Quality

Ranking in Data Quality

6th

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Talend Data Quality

Ranking in Data Quality

5th

Average Rating

8.0

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Data Scrubbing Software (3rd)

Mindshare comparison

As of September 2025, in the Data Quality category, the mindshare of Syniti Data Quality is 6.3%, down from 8.9% compared to the previous year. The mindshare of Talend Data Quality is 4.7%, down from 6.5% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Market Share Distribution
Product	Market Share (%)
Talend Data Quality	4.7%
Syniti Data Quality	6.3%
Other	89.0%

Data Quality

Featured Reviews

Raj AB

Delivery Head at ApikinFotech

Offers predefined rules and easy to migrate data with minimum customisation of rules

The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage. We should be able to tune the existing process by using simple SQL queries based on the customer's requirements. In future releases, I would like to see more features around Preload and postload reports. From the end-user point of view, it is not very feasible to read. I need to know how the data has been migrated. I need to know whether the complete data has been migrated, only the required data has been migrated, and how it was migrated. So the postload reports will give validation between the source data and the target source. It would give exact picture of the data migration.

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WesamHabboub

Chief Consultant at Insight360

Stands out for its user-friendly interface, robust community support, competitive pricing and strategic approach to improving data accuracy

Its greatest asset lies in its user-friendly interface, specifically within the Talend Open Studio, known for its ease of use and familiarity among users. The robust community support proves invaluable when encountering challenges, providing a reliable resource for issue resolution. Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users. The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work. This functionality enables a streamlined process for identifying, assigning, and subsequently addressing data quality issues.

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Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"With Syniti Data Quality, you can integrate SAP and directly fix errors from Syniti Data Quality instead of logging into SAP and then fixing them."

"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users."

"The customer service and support is good."

"Syniti has built-in 80% of the solution, and we only need to customize 20 to 25% of the features. It is easy to run and pre-load reports."

"The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently."

"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."

"It has definitely streamlined certain processes."

"I like idea of storing the results of Data Quality jobs in a DB and having the ability to run reports in the DB to show a dashboard of quality metrics."

"The jobs are visual and this has improved collaboration between colleagues. It’s much easier to understand a visual job than a piece of Java code."

"It’s easy to monitor the processes. Every morning I’ll open the Talend Administration Center to check the status of the process. Within seconds I’m able to see which process ran successfully and which have failed and why they failed."

"It lowers the amount of time in development from weeks to a day."

"The solution enables robust data matching, merging, survivorship, and Data Stewardship that can be a part of data quality workflows or true master data management."

More Talend Data Quality pros

Cons

"In Syniti Data Quality, data extraction is an area with certain shortcomings where improvements are required."

"The customization of the data needs improvement. We need to build basic SQL queries rather than being able to do it within the tool. We need to be able to analyze the SQL queries and then rerun them based on customer usage."

"The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement."

"It would be good if Syniti Data Quality could integrate more AI in the future."

"SQL for displaying underlying data in non-match results does not work."

"In redundancy analysis, the query is failing to bring non-matched records. This query is an internal script. There is no way (that I know of) to fix this syntax error for future runs."

"If the SQL input controls could dynamically determine the schema-based on the SQL alone, it would simplify the steps of having to use a manually created and saved schema for use in the TMap for the Postgres and Redshift components. This would make things even easier."

"NullPointerExceptions are going to be the death of me and are a big reason for our transition away from Talend. One day, it is fine with a 1000 blank rows, then the next day, it will find one blank cell and it breaks down."

"The ability to change the code when debugging the JavaScript could be improved."

"Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does."

"It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis."

"In terms of the solution's technical support, the interactions were satisfactory, but there is room for improvement, especially in managing expectations."

More Talend Data Quality cons

Pricing and Cost Advice

"I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."

"The solution is expensive."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."

"It is cheaper than Informatica. Talend Data Quality costs somewhere between $10,000 to $12,000 per year for a seat license. It would cost around $20,000 per year for a concurrent license. It is the same for the whole big data solution, which comes with Talend DI, Talend DQ, and TDM."

"It's a subscription-based platform, we renew it every year."

"Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."

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Top Industries

By visitors reading reviews

Manufacturing Company

18%

Computer Software Company

10%

Financial Services Firm

Retailer

Computer Software Company

13%

Financial Services Firm

Comms Service Provider

Manufacturing Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	9
Midsize Enterprise	3
Large Enterprise	4

Questions from the Community

What do you like most about Syniti Data Quality?

The customer service and support is good.

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What needs improvement with Syniti Data Quality?

The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement.

See all answers

What is your primary use case for Syniti Data Quality?

Syniti Data Quality's use case is similar to what we do in SAP Information Steward. You can create a data quality report and your business Steward, which is more into cleansing the data. They will ...

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What do you like most about Talend Data Quality?

The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.

See all answers

What is your experience regarding pricing and costs for Talend Data Quality?

There are many data quality tools available, but some can be expensive. Talend Data Quality stands out because it is often provided for free if you already have Talend Data Integration, which means...

See all answers

What needs improvement with Talend Data Quality?

Talend suite might have a missing product, particularly in the commercial master aspect. This would contribute to completing the overall picture, though the focus isn't necessarily on economic cons...

See all answers

Comparisons

SAP Data Services vs Syniti Data Quality

Compared 80% of the time

Informatica Intelligent Data Management Cloud (IDMC) vs Syniti Data Quality

Compared 13% of the time

SAP Information Steward vs Syniti Data Quality

Compared 7% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs Talend Data Quality

Compared 20% of the time

ibi Data Quality vs Talend Data Quality

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DQ Global Data Quality vs Talend Data Quality

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Precisely Trillium vs Talend Data Quality

Compared 9% of the time

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Product Reports

Buyer's Guide

Data Quality

August 2025

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Buyer's Guide

Talend Data Quality

August 2025

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Also Known As

Syniti DQ

No data available

Overview

Data quality management solutions from Syniti provide a simplified and cost-effective approach. They create a closed-loop remediation process owned by business users that monitors and accurately remediates data that violates your standards for data quality.

Syniti

The data quality tools in Talend Open Studio for Data Quality enable you to quickly take the first big step towards better data quality for your organization: getting a clear picture of your current data quality. Without having to write any code, you can perform data quality analysis tasks ranging from simple statistical profiling, to analysis of text fields and numeric fields, to validation against standard patterns (email address syntax, credit card number formats) or custom patterns of your own creation.

Talend

Sample Customers

Kraft Foods, Puget Sound Energy

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Syniti Data Quality vs. Talend Data Quality

September 2025

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