Syniti Data Quality vs Talend Data Quality comparison

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Syniti Logo
733 views|635 comparisons
100% willing to recommend
Talend Logo
1,523 views|719 comparisons
89% willing to recommend
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Syniti Data Quality and Talend Data Quality based on real PeerSpot user reviews.

Find out in this report how the two Data Quality solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI.
To learn more, read our detailed Syniti Data Quality vs. Talend Data Quality Report (Updated: March 2024).
768,578 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"The major benefits of Syniti Data Quality stem from the productivity and flexibility it offers to users.""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 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."

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"The Studio is easy to understand.""With its frequency function, we were able to pick a line of business to be addressed first in one of our conversion projects.""The numerous components provided by Talend mean you’re able to create jobs quickly and efficiently.""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.​""tLogRows are also great for finding bad data.""The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."

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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."

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"There are more functions in a non-streamlined manner, which could be refined to arrive at a better off-the-shelf functions.""It would be more helpful if it offered dynamic dashboards that could be directly used by clients for better analysis.""The ability to change the code when debugging the JavaScript could be improved.""They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling. With Talend DQ, I cannot generate any reports today, so I need an ETL tool. It provides general Excel files, or I have to create some views. If instead of buying a new tool, Talend provides a reporting capability or solution, it would be great. It will reduce the development effort for creating these kinds of reports. We also manage the infrastructure for Talend. From the licensing perspective, for cloud, they only have seat licenses where one person is tied to one license, but for on-premise, they have concurrent licenses. It would be really awesome if they can provide concurrent licenses for the cloud so that if one person is not there, somebody else can use that license. Currently, it is not possible unless a person deactivates his or her license and moves the same seat license to someone else. We are one of the biggest customers in the central zone of the US for Talend, and this is the feedback that we have provided them again and again, but they come back and say that they aren't able to provide concurrent licenses on the cloud. In version 7.3, there is a feature for tokenization and de-tokenization of data. This is the feature that we are looking for. It is useful if somebody wants to see what we have masked and how do we demask it. This feature is not there in version 7.1. There are also a few other capabilities on the cloud, but we don't yet have a big footprint in the cloud.""The performance is one area that Talend Data Quality could improve in because large volumes take a lot of time.""Finding assistance with issues can be spotty. With Python, there are literally millions of open source answers which are recent and apply to the version that we are using.""Heap space issues plague us consistently. We maxed it out and it runs fine, then it doesn’t, then it does.""SQL for displaying underlying data in non-match results does not work."

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Pricing and Cost Advice
  • "The solution is expensive."
  • "I would rate the pricing a six out of ten, where one is cheap, and ten is expensive."
  • More Syniti Data Quality Pricing and Cost Advice →

  • "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's a subscription-based platform, we renew it every year."
  • "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."
  • "Moreover, the pricing structure stands out as highly competitive compared to other offerings in the market, making it a cost-effective choice for users."
  • More Talend Data Quality Pricing and Cost Advice →

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    Questions from the Community
    Top Answer:The customer service and support is good.
    Top Answer:The loading mechanisms and administration processes, particularly in setting up connections and deploying the system, need improvement.
    Top Answer: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 get… more »
    Top Answer:The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work.
    Top Answer: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… more »
    Top Answer: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… more »
    Ranking
    7th
    out of 56 in Data Quality
    Views
    733
    Comparisons
    635
    Reviews
    4
    Average Words per Review
    474
    Rating
    8.5
    4th
    out of 56 in Data Quality
    Views
    1,523
    Comparisons
    719
    Reviews
    3
    Average Words per Review
    525
    Rating
    8.7
    Comparisons
    Also Known As
    Syniti DQ
    Learn More
    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.

    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.
    Sample Customers
    Kraft Foods, Puget Sound Energy
    Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
    Top Industries
    VISITORS READING REVIEWS
    Computer Software Company22%
    Manufacturing Company15%
    Financial Services Firm13%
    Retailer7%
    REVIEWERS
    Insurance Company29%
    Pharma/Biotech Company14%
    Healthcare Company14%
    Marketing Services Firm14%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company13%
    Manufacturing Company10%
    Energy/Utilities Company7%
    Company Size
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise15%
    Large Enterprise67%
    REVIEWERS
    Small Business56%
    Midsize Enterprise19%
    Large Enterprise25%
    VISITORS READING REVIEWS
    Small Business19%
    Midsize Enterprise12%
    Large Enterprise69%
    Buyer's Guide
    Syniti Data Quality vs. Talend Data Quality
    March 2024
    Find out what your peers are saying about Syniti Data Quality vs. Talend Data Quality and other solutions. Updated: March 2024.
    768,578 professionals have used our research since 2012.

    Syniti Data Quality is ranked 7th in Data Quality with 4 reviews while Talend Data Quality is ranked 4th in Data Quality with 20 reviews. Syniti Data Quality is rated 8.6, while Talend Data Quality is rated 8.0. The top reviewer of Syniti Data Quality writes "A highly stable solution that can be deployed very quickly and easily". On the other hand, the top reviewer of Talend Data Quality writes "Saves a lot of time, good ROI, seamless integration with different databases, and stable". Syniti Data Quality is most compared with SAP Data Services, SAP Data Quality Management and Informatica Cloud Data Quality, whereas Talend Data Quality is most compared with Ataccama DQ Analyzer, Informatica Data Quality, Alteryx, Precisely Trillium and Informatica Address Verification. See our Syniti Data Quality vs. Talend Data Quality report.

    See our list of best Data Quality vendors.

    We monitor all Data Quality reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.