Oracle Enterprise Data Quality (EDQ) vs Qlik Talend Cloud comparison

Why PeerSpot?

Oracle and Qlik are both solutions in the Data Quality category. Oracle is ranked #13, while Qlik is ranked #2 with an average rating of 7.8. Oracle holds a 3.7% mindshare in DQ, compared to Qlik’s 6.6% mindshare. Additionally, 88% of Oracle users are willing to recommend the solution, compared to 89% of Qlik users who would recommend it.

Oracle Enterprise Data Qual...

Read 8 Oracle Enterprise Data Quality (EDQ) reviews

1,857 Views
1,838 Comparison Views

88% willing to recommend

Qlik Talend Cloud

Read 56 Qlik Talend Cloud reviews

18,135 Views
3,446 Comparison Views

89% willing to recommend

Oracle Enterprise Data Qual...

Qlik Talend Cloud

Comparison Buyer's Guide

Download the report

Executive SummaryUpdated on Jun 3, 2026

Oracle Enterprise Data Quality and Qlik Talend Cloud are competing data management solutions. Oracle EDQ excels in data profiling and rigorous cleansing processes, appealing to enterprises prioritizing robust data governance. In contrast, Qlik Talend Cloud stands out for its versatility in cloud integration and ease of use, making it preferable for organizations seeking flexible, scalable solutions.

Features: Oracle EDQ is valued for its comprehensive data profiling, stringent data quality rules, and strong data governance, ensuring data accuracy and consistency. Its platform is customizable to meet enterprise needs, and it provides robust data governance capabilities. With Qlik Talend Cloud, the ease of cloud integration and an intuitive user interface are emphasized. The solution offers numerous connectors, versatile integration options, and adaptable cloud capabilities that cater to dynamic data environments.

Room for Improvement: Oracle EDQ could enhance its user interface to be more visually intuitive and reduce implementation complexity to facilitate adoption by smaller teams. Simplifying integration with non-Oracle systems and increasing support for diverse data formats would expand its appeal. Qlik Talend Cloud might benefit from reducing its initial learning curve and enhancing cost management strategies for enterprises concerned about license expenses. Improvements in scalability for extremely large datasets and more straightforward real-time data processing could offer additional advantages.

Ease of Deployment and Customer Service: Oracle EDQ offers robust on-premise deployment options with dedicated support, suiting organizations requiring direct control and security. Its extensive in-depth support accompanies its comprehensive features. In contrast, Qlik Talend Cloud provides flexible, quick-to-deploy cloud solutions appealing to companies prioritizing fast implementation and cloud scalability. The solution is recognized for its responsive customer support and cloud-specific expertise, making it a practical choice for cloud-minded enterprises.

Pricing and ROI: Oracle EDQ generally involves higher initial setup costs but supports a substantial ROI through enhanced data quality management. Its focus on detailed data governance justifies its cost in specific enterprise contexts. Meanwhile, Qlik Talend Cloud offers competitive pricing with lower initial investments, delivering notable value through its cloud efficiencies and quicker deployment times. The affordability and cloud capabilities of Qlik Talend Cloud provide broad appeal and cost-effectiveness, especially for businesses prioritizing budget-friendly solutions.

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

Buyer's Guide

Oracle Enterprise Data Quality (EDQ) vs. Qlik Talend Cloud

September 2026

Download the complete report

Helped 913,924 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

Oracle Enterprise Data Qual...

Ranking in Data Quality

13th

Average Rating

8.4

Reviews Sentiment

7.9

Number of Reviews

Ranking in other categories

No ranking in other categories

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

Mindshare comparison

As of September 2026, in the Data Quality category, the mindshare of Oracle Enterprise Data Quality (EDQ) is 3.7%, up from 1.9% compared to the previous year. The mindshare of Qlik Talend Cloud is 6.6%, down from 7.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Data Quality Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	6.6%
Oracle Enterprise Data Quality (EDQ)	3.7%
Other	89.7%

Data Quality

Featured Reviews

Venkatraman Bhat

Deliver Head - Database and Infrastructure Cloud Services at Tech Mahindra Limited

Fast, has good extraction, validation, and transformation features, and provides good support

Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution.

Read full review

Herivao Jus Winny

IT Consultant at a tech services company with 201-500 employees

Has automated recurring data flows and improved accuracy in reporting

The best features of Talend Data Integration are its rich set of components that let you connect to almost any data design intuitive and its strong automation and scheduling capabilities. The TMap component is especially valuable because it allows flexible transformation, joins, and filtering in a single place. I also rely a lot on context variables to manage different environments like Dev, Test, and production, without changing the code. The error handling and logging tools are very helpful for monitoring and troubleshooting, which makes the workflow more reliable. Talend Data Integration has helped our company by automating and standardizing data processes. Before, many of these tasks were done manually, which took more time and often led to errors. With Talend Data Integration, we built automated pipelines that extract, clean, and load data consistently. This not only saves hours of manual effort, but also improves the accuracy and reliability of data. As a result, business teams had faster access to trustworthy information for reporting and decision making, which directly improved efficiency and productivity. Talend Data Integration has had a measurable impact on our organization. By automating daily data loading processes, we reduced manual effort by around three or four hours per day, which saved roughly 60 to 80 hours per month. We also improved data accuracy. Error rates dropped by more than 70% because validation rules were built into the jobs. In addition, reporting teams now receive fresh data at least 50% faster, which means they can make decisions earlier and with more confidence. Overall, Talend Data Integration has increased both efficiency and reliability in our data workflows.

Read full review

Quotes from Members

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

Pros

"Compared to the competition, Oracle Data Quality is a very flexible and advanced product."

"With Oracle Data Quality, the most valuable feature is entity matching."

"However, I think Oracle Data Quality is definitely worth giving a try."

"I have found the most valuable features to be data cleansing and deduplication."

"Once it is set up, it is easy to use and maintain."

"Oracle Data Quality gives you value for money and better ROI, especially when it's deployed on the cloud, because it's fast, ready to use, and you can just subscribe and provision it, then start using it without great effort for setup, installation, or configuration."

"I'd recommend this solution to anyone who is using data quality or would want to know the quality of data in their company and fix the data."

"The features I like most about Oracle Data Quality include extraction, transformation, and validation, which makes it a multipurpose product such as Oracle GoldenGate and Oracle Data Integrator. I also like that Oracle Data Quality is very fast, so you can use it for a large volume of data within a short period. You have to do the validation very quickly, so the solution helps in that area of data quality. Another feature of Oracle Data Quality that I like is the MDM (Master Data Management) where you'll have a single source of protection, and this makes the solution perfect and helpful to my company."

More Oracle Enterprise Data Quality (EDQ) pros

"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."

"It reduces the QA effort immensely by handling most of the test scenarios in a reusable way."

"We can develop our own code if we do not see the functionality we need."

"The Studio is easy to understand."

"We’re also able to respond much more quickly to changes and demands from the business, as we can create and change jobs quickly and provide new data for reports within hours."

"They're very competitive in terms of performance, which is a good selling point. It has very rich features. It provides a very rich feature set in the application."

"It has definitely streamlined certain processes."

"The product's integration with PostgreSQL and Jira has been helpful for us. Its performance is good. However, we do not use it for large data sets."

More Qlik Talend Cloud pros

Cons

"There are some challenges with respect to standardization, matching, segregation, and merging."

"Though validation is good and fast enough in Oracle Data Quality, an area for improvement is the accuracy of the validation. Though the solution offers multidimensional validation, it needs a bit more improvement in the accuracy aspect because smaller products can offer better accuracy in terms of validation compared to Oracle Data Quality. What I'd like to see from the solution in its next release, is an increase in compliances and regulations that would allow it to cover all industries because multiple verticals demand data quality nowadays, and this improvement will be helpful as Oracle Data Quality is an in-built delivered solution."

"Integration performance and availability of out of the box integration to more products (ERP Tools, Data Cleansing Software etc.)."

"Mobile support and mobile app can be implemented, since business users generally prefers to work with their laptops and mobile phones."

"The initial setup was complicated, there is a lot of configuration that needs to be done."

"Oracle is currently not that intuitive. We need to use programmers to write code for a lot of the procedures. We need to have them write CL SQL code and write a CL script."

"Oracle Data Quality should integrate with data warehousing solutions such as Azure and CWS Office. For example, having the ability to integrate with tools, such as Azure Synapse and SQL data warehousing would be a great benefit."

"If the length of time required for deployment was reduced then it would be very helpful."

More Oracle Enterprise Data Quality (EDQ) cons

"There are too many functions which could be streamlined."

"The stability is good, but the performance is slower when I work on a huge amount of data."

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

"The sales and market department could improve the Talend Data Management Platform."

"There are no concurrent licenses, they only have seat licenses on cloud. That's the whole challenge. For example, if in any project your headcount increases or decreases, you do not have that concurrence and you have a seat license, you run into challenges because you have to procure a few more licenses for getting the job done."

"You can't join more than two tables for analysis."

"The solution's memory sometimes bottlenecks and that can be challenging."

"What's missing in the Talend MDM Platform is that it's not maintaining technology references. For example, my company needs a reference case if the platform has been implemented for a configuration that's similar to the client's required configuration. Currently, the client is still reluctant to roll out the Talend MDM Platform at a wider level because there's still no reference received from the Talend team."

More Qlik Talend Cloud cons

Pricing and Cost Advice

"The price of this solution is comparable to other similar solutions."

"The vendor needs to revisit their pricing strategy."

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

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

"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."

"The product pricing is considered very good, especially compared to other data integration tools in the market."

"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."

"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."

"License renewal is on a yearly basis."

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

More Qlik Talend Cloud pricing and cost advice

See which vendors are best for you

Use our free recommendation engine to learn which Data Quality solutions are best for your needs.

See recommendations

913,924 professionals have used our research since 2012.

Top Industries

By visitors reading reviews

Construction Company

14%

Comms Service Provider

11%

Outsourcing Company

10%

Manufacturing Company

Financial Services Firm

14%

Outsourcing Company

12%

Comms Service Provider

11%

Construction Company

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Midsize Enterprise	2
Large Enterprise	7

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

Questions from the Community

Ask a question

Earn 20 points

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 ...

See all answers

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...

See all answers

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

Comparisons

Informatica Intelligent Data Management Cloud (IDMC) vs Oracle Enterprise Data Quality (EDQ)

Compared 14% of the time

IBM Infosphere Information Analyzer vs Oracle Enterprise Data Quality (EDQ)

Compared 9% of the time

SAP Information Steward vs Oracle Enterprise Data Quality (EDQ)

Compared 8% of the time

Trillium Quality vs Oracle Enterprise Data Quality (EDQ)

Compared 8% of the time

Melissa Data Quality vs Oracle Enterprise Data Quality (EDQ)

Compared 4% of the time

More Oracle Enterprise Data Quality (EDQ) Competitors

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

Compared 3% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

Ataccama ONE Platform vs Qlik Talend Cloud

Compared 2% of the time

SSIS vs Qlik Talend Cloud

Compared 2% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 2% of the time

More Qlik Talend Cloud Competitors

Product Reports

Buyer's Guide

Data Quality

September 2026

Oracle Enterprise Data Quality (EDQ) report

Download Oracle Enterprise Data Quality (EDQ) product report

Buyer's Guide

Qlik Talend Cloud

September 2026

Download Qlik Talend Cloud product report

Also Known As

Datanomic

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

Overview

Oracle Enterprise Data Quality is a comprehensive tool for improving data integrity through address verification, profiling, cleansing, and synchronization.

Oracle Enterprise Data Quality empowers organizations to manage their data by ensuring integrity and consistency. It provides efficient address verification, data profiling, cleansing, and synchronization. With capabilities like entity matching, deduplication, extraction, transformation, and validation, it supports diverse data types to enhance data quality processes. While it is seamless in data matching and third-party app integration, the platform benefits organizations by supporting Master Data Management for consolidated data protection. However, improvements in documentation, ERP and warehouse integration, cloud and mobile support, and reduced deployment time could enhance the user experience. Pricing strategy and installation challenges, especially involving coding, need attention for broader accessibility.

What are the main features of Oracle Enterprise Data Quality?

Address Verification: Ensures accuracy in address data.
Data Profiling: Analyzes data characteristics for better insights.
Cleansing: Refines data by removing inaccuracies.
Data Synchronization: Aligns data across platforms effortlessly.
Entity Matching: Identifies and matches related entities.
Deduplication: Eliminates redundant data entries efficiently.
Transformation and Validation: Converts data to required formats, verifying its accuracy.

What benefits and ROI can users expect from Oracle Enterprise Data Quality?

Data Integrity: Maintains consistent data accuracy.
Reduced Redundancy: Minimizes duplicate data across systems.
Enhanced Data Governance: Strengthens data management strategies.
Improved Accuracy: Boosts the precision of data validation.
Efficient Data Processing: Accelerates data handling routines.

Industries like education find Oracle Enterprise Data Quality invaluable for systems such as university fundraising, where tracking donor contributions accurately is crucial. Used in data governance, it manages quality during ETVL processes ensuring high precision for data warehouses and Data Lakehouses.

Oracle

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

Sample Customers

Roka Bioscience, Statistics Centre _ Abu Dhabi , Raymond James Financial inc., CaixaBank, Industrial Bank of Korea, Posco, NHS Business Services Authority, RWE Power, LIFE Financial Group,

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Oracle Enterprise Data Quality (EDQ) vs. Qlik Talend Cloud

September 2026

Free Report: Oracle Enterprise Data Quality (EDQ) vs. Qlik Talend Cloud

Find out what your peers are saying about Oracle Enterprise Data Quality (EDQ) vs. Qlik Talend Cloud and other solutions. Updated: September 2026.

DOWNLOAD NOW

913,924 professionals have used our research since 2012.

See our Oracle Enterprise Data Quality (EDQ) vs. Qlik Talend Cloud report.

See our list of best Data Quality vendors and best Cloud Data Integration 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.