Qlik Talend Cloud vs Syniti Data Quality comparison

Why PeerSpot?

Qlik and Syniti are both solutions in the Data Quality category. Qlik is ranked #2 with an average rating of 7.8, while Syniti is ranked #21. Qlik holds a 6.8% mindshare in DQ, compared to Syniti’s 2.6% mindshare. Additionally, 89% of Qlik users are willing to recommend the solution, compared to 100% of Syniti users who would recommend it.

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

19,499 Views
3,705 Comparison Views

89% willing to recommend

Syniti Data Quality

Read 4 Syniti Data Quality reviews

1,547 Views
1,532 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Syniti Data Quality

Comparison Buyer's Guide

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and Syniti Data Quality are products in the data quality and integration market. Syniti appears to have an advantage in advanced features, while Qlik Talend Cloud is more appealing due to its pricing and support.

Features:Qlik Talend Cloud offers efficient data integration capabilities, a flexible cloud architecture, and scalable solutions for business needs. Syniti Data Quality is noted for advanced data quality tools, extensive cleansing, enrichment capabilities, and high data accuracy.

Ease of Deployment and Customer Service:Syniti Data Quality provides a straightforward deployment process with strong customer service. Qlik Talend Cloud ensures a user-friendly setup with continuous support, suiting businesses seeking quick deployment.

Pricing and ROI:Qlik Talend Cloud is known for competitive pricing and significant ROI due to lower setup costs. Syniti Data Quality has higher initial costs but offers enhanced features for potential long-term benefits.

To learn more, read our detailed Qlik Talend Cloud vs. Syniti Data Quality Report (Updated: September 2026).

Buyer's Guide

Qlik Talend Cloud vs. Syniti Data Quality

September 2026

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Helped 917,433 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

Qlik Talend Cloud

Ranking in Data Quality

2nd

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (8th), Data Scrubbing Software (1st), Master Data Management (MDM) Software (2nd), Cloud Data Integration (7th), Data Governance (9th), Cloud Master Data Management (MDM) (3rd), Streaming Analytics (6th), Integration Platform as a Service (iPaaS) (7th)

Syniti Data Quality

Ranking in Data Quality

21st

Average Rating

8.6

Reviews Sentiment

7.1

Number of Reviews

Ranking in other categories

No ranking in other categories

Mindshare comparison

As of October 2026, in the Data Quality category, the mindshare of Qlik Talend Cloud is 6.8%, down from 7.0% compared to the previous year. The mindshare of Syniti Data Quality is 2.6%, down from 5.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	6.8%
Syniti Data Quality	2.6%
Other	90.6%

Data Quality

Featured Reviews

Henrique Fsantos

Data & Analytics Engineer at PicPay

Automated data pipelines have improved analytics workflows and provide trusted reporting data

The best features of Qlik Talend Cloud are its connectors to many systems, databases, APIs, and files, including both SQL and NoSQL databases. The scheduling feature allows me to run jobs automatically in the cloud, and the built-in data quality tools help clean and check data. The reusable components enable me to reuse jobs and parts, which saves time, making it easy to build good data pipelines. The feature that has made the biggest difference for me in Qlik Talend Cloud is the scheduling and automation, which helps me run ETL jobs automatically without manual work. This saves time, reduces errors, and makes the pipelines more stable. In my daily work, I can trust that the data is updated on time and ready for reports and analytics. Qlik Talend Cloud has had a positive impact on my organization by automating data integration processes, reducing manual errors, and ensuring reliable and up-to-date data for reports and business decisions. This has improved operational stability, productivity, and trust in the data. Since using Qlik Talend Cloud, we have reduced manual work, resulting in approximately 20% to 30% time savings in data load processes. We have also seen a reduction in operational errors, mainly due to automation and the data quality checks, and a clear improvement in data reliability since the pipelines became more standardized and monitored.

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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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Quotes from Members

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

Pros

"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."

"Qlik Talend Cloud positively impacted my organization by enabling businesses to accelerate data decisions very easily and reducing execution time."

"The solution is customizable."

"The Studio is easy to understand."

"You move data from one source to another without problem and apply some business rules in data."

"Overall, the management and running environment are very stable, and I would rate it an eight out of ten."

"Talend has allowed us to systematically organise/structure and deploy our staged ETL transformation processes from Development into production, we have tracked our data quality efforts during our runs and supplied comprehensive feedback during our development."

More Qlik Talend Cloud pros

"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."

"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."

Cons

"They don't have any AI capabilities. Talend DQ is specifically for data quality, which only has data profiling."

"If I am designing something in Talend Data Integration, I cannot backtrack in the flow. For example, if I read data from a source and transform it before applying complex aggregation in the third step, I cannot join this data with the second step."

"Qlik Talend Cloud could be improved with more advanced monitoring and flexible alerts, as well as better job performance visibility."

"I wonder if, at the same price, the API component could be added, which would be beneficial."

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

"The stability for Talend Data Quality can be rated around an 8; it is quite stable."

"Account for Java developers/custom development efforts apart from DQ functional/technical expertise, to use Talend DQ product to the fullest."

"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."

More Qlik Talend Cloud cons

"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."

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

Pricing and Cost Advice

"The solution's pricing is very reasonable and half the cost of Informatica."

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

"License renewal is on a yearly basis."

"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 price is on a per-user basis. It's a little more expensive than other tools. There aren't any additional costs beyond the standard licensing fee."

"The pricing is a little higher than what I had expected, but it's comparable with I-PASS competitors."

"The price of the Talend Data Management Platform is reasonable. The other competing solutions are priced high. Gartner Magic Quadrant identified other solutions, such as Informatica, that are far more expensive."

"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."

More Qlik Talend Cloud 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."

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Top Industries

By visitors reading reviews

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

Construction Company

Manufacturing Company

14%

Retailer

Consumer Goods Company

Comms Service Provider

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	21
Midsize Enterprise	12
Large Enterprise	20

No data available

Questions from the Community

What needs improvement with Talend Data Quality?

I don't use the automated rule management feature in Talend Data Quality that much, so I cannot provide much feedback. I may not know what Talend Data Quality can improve for data quality. I'm not ...

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What is your primary use case for Talend Data Quality?

It is for consistency, mainly; data consistency and data quality are our main use cases for the product. Data consistency is the primary purpose we use it for, as we have written rules in Talend Da...

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What advice do you have for others considering Talend Data Quality?

Currently, I'm working with batch jobs and don't perform real-time data quality monitoring because of the large data volume. For real-time, we use a different product. I cannot provide details abou...

See all answers

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Comparisons

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Compared 3% of the time

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SSIS vs Qlik Talend Cloud

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Melissa Data Quality vs Qlik Talend Cloud

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SAP Data Services vs Syniti Data Quality

Compared 18% of the time

Karini.AI vs Syniti Data Quality

Compared 14% of the time

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

Compared 13% of the time

Melissa Data Quality vs Syniti Data Quality

Compared 6% of the time

Microsoft Data Quality Services vs Syniti Data Quality

Compared 6% of the time

More Syniti Data Quality Competitors

Product Reports

Buyer's Guide

Qlik Talend Cloud

October 2026

Download Qlik Talend Cloud product report

Buyer's Guide

Data Quality

September 2026

Download Syniti Data Quality product report

Also Known As

Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance

Syniti DQ

Overview

Qlik Talend Cloud provides robust data integration tools tailored for efficient management of large volumes, offering real-time data access, Java integration, and custom code capabilities for developers.

Qlik Talend Cloud is known for its extensive connectivity options, enabling seamless integration across different platforms, such as S3, Redshift, Oracle, and SQL Server. The central repository facilitates consistent metadata access throughout organizations, enhancing collaboration. Despite its strengths in advanced monitoring, automation, and user-friendly drag-and-drop interfaces, users face challenges with installation stability, technical support, documentation inconsistencies, and complexities in learning. Performance concerns also include multitasking limitations and excessive memory usage. The platform's licensing costs can be prohibitive for smaller companies, while demands for improved data governance and intuitive code management continue. Its applications in healthcare data parsing, ETL task automation, and diverse data platform integration demonstrate its utility, although there's a constant demand for better scalability and efficient transformations.

What are the key features?

Seamless Real-Time Data Access: Ensures that users can access the latest information across systems without delays for better decision-making.
Java Integration: Facilitates smooth incorporation of Java components into workflows, broadening development options.
Custom Code Development: Offers flexibility to develop tailored solutions to meet specific integration scenarios.
Vast Connectors: Enhances connectivity between multiple platforms, supporting comprehensive data integration strategies.
Central Repository: Allows for uniform metadata access across departments, promoting cohesive data management practices.
Automation and Monitoring: Streamlines workflows with advanced automation and monitoring, reducing manual intervention and errors.

What benefits and ROI should users evaluate?

Improved Data Quality: Tools for data matching and error handling ensure high-quality, reliable data for analytics and reporting.
Efficient Workflow Streamlining: Drag-and-drop interfaces and automation features simplify complex workflows, enhancing operational efficiency.
Enhanced Business Insights: By integrating diverse data sources, businesses can derive deeper insights and ensure compliance through better data management.
Cost Management: Although some users find licensing expensive, comprehensive feature sets aimed at improving data processes can justify costs.
Community Support: Users benefit from active community forums that provide assistance, although technical support also necessitates enhancements.

In specialized industries like healthcare, users leverage Qlik Talend Cloud for data integration and transformation, aiding in compliance and analytics. Compatibility with cloud and on-premises systems ensures adaptability to complex data tasks, facilitating business application development. Organizations focus on enhanced data ingestion and quality checks for comprehensive solutions.

Qlik

Syniti Data Quality enhances data management with comprehensive features tailored for accurate and efficient processing. It addresses critical data quality challenges, ensuring reliable decision-making through improved data integrity.

Syniti Data Quality is designed to manage and optimize data quality for diverse business needs. It provides robust analytics and insights, improving data consistency across enterprises. Its architecture supports seamless integration and scalability, making it suitable for complex data environments. Organizations can leverage it to streamline data governance, reduce operational costs, and foster better collaboration among teams. This platform is instrumental in fixing data inaccuracies, ensuring that only high-quality data is used to drive business strategies.

What are the key features of Syniti Data Quality?

Data Profiling: Provides in-depth analysis to identify data issues.
Data Cleansing: Automates the process of correcting data errors.
Data Matching: Removes duplicates to ensure unique records.
Monitoring and Alerts: Keeps track of data quality metrics with real-time alerts.
Data Enrichment: Enhances data with external sources for deeper insights.

What benefits can one expect when using Syniti Data Quality?

Improved Accuracy: Enhances data integrity, minimizing errors in processing.
Cost Efficiency: Reduces costs associated with data handling and error correction.
Enhanced Compliance: Ensures data aligns with regulatory standards.
Better Decision Making: Provides reliable data for strategic analysis.
Operational Efficiency: Streamlines processes across departments.

In industries like finance, Syniti Data Quality aids in compliance with stringent regulatory requirements, ensuring data accuracy and reliability. Healthcare sectors utilize it to maintain patient data integrity, improving service delivery. Retail businesses benefit from data consistency in inventory and customer management, driving improved customer experiences.

Syniti

Sample Customers

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Kraft Foods, Puget Sound Energy

Buyer's Guide

Qlik Talend Cloud vs. Syniti Data Quality

September 2026

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