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OvalEdge vs Qlik Talend Cloud comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Nov 18, 2025

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

OvalEdge
Ranking in Data Governance
23rd
Average Rating
9.0
Reviews Sentiment
7.8
Number of Reviews
2
Ranking in other categories
No ranking in other categories
Qlik Talend Cloud
Ranking in Data Governance
8th
Average Rating
8.0
Reviews Sentiment
6.5
Number of Reviews
54
Ranking in other categories
Data Integration (9th), Data Quality (3rd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Cloud Data Integration (7th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (9th), Integration Platform as a Service (iPaaS) (9th)
 

Mindshare comparison

As of January 2026, in the Data Governance category, the mindshare of OvalEdge is 0.6%, up from 0.4% compared to the previous year. The mindshare of Qlik Talend Cloud is 1.8%, down from 2.0% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Governance Market Share Distribution
ProductMarket Share (%)
Qlik Talend Cloud1.8%
OvalEdge0.6%
Other97.6%
Data Governance
 

Featured Reviews

AzhagarasanAnnadorai - PeerSpot reviewer
Founder at Kaizentric Technologies Private Limited
Enables comprehensive data governance with role-based access and directory integration
The UI is straightforward for technical users with organized features under different modules like data catalog and business glossary. The role-based access control and integration with the directory system allow strict governance and limited user access. The APIs are comprehensive, enabling integration with other systems even for creating virtual data catalogs.
HJ
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.

Quotes from Members

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

Pros

"The UI is straightforward for technical users with organized features under different modules like data catalog and business glossary."
"Over time, OvalEdge has improved significantly."
"tLogRows are also great for finding bad data."
"The most valuable features of the Talend Data Management Platform are the components."
"The Studio is easy to understand."
"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."
"The solution is connected to various phones. It retrieves the configuration from the system."
"Talend is user-friendly and has many components and connectors, which makes it a great choice."
"The most valuable feature lies in the capability to assign data quality issues to different stakeholders, facilitating the tracking and resolution of defective work."
"The solution can run on any machine and that is a big advantage."
 

Cons

"The lack of connectivity to mainframe systems and the complexity of integration are areas needing improvement."
"The lack of connectivity to mainframe systems and the complexity of integration are areas needing improvement."
"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."
"I would say that some of the support elements need improvement."
"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."
"The ability to change the code when debugging the JavaScript could be improved."
"I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one."
"Sometimes there are bugs which are unidentified and we have to follow-up with the Talend team to resolve them. In a critical situation, it takes time for them to update patches."
"The documentation from version to version could be more accurate."
"Performance and speed could be improved."
 

Pricing and Cost Advice

Information not available
"We did not purchase a separate license for DQ. It is part of our data platform suite, and I believe it is well-priced."
"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 tool is cheap."
"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."
"The product pricing is considered very good, especially compared to other data integration tools in the market."
"It's a subscription-based platform, we renew it every year."
"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 licensing cost for the Talend MDM Platform is paid yearly, but I'm unable to give you the figure. I would rate its price as four out of five because it's on the cheaper side. I'm not aware of any extra costs in addition to the standard licensing fees for the Talend MDM Platform."
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Top Industries

By visitors reading reviews
No data available
Financial Services Firm
12%
Computer Software Company
10%
Comms Service Provider
7%
Manufacturing Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
No data available
By reviewers
Company SizeCount
Small Business20
Midsize Enterprise11
Large Enterprise20
 

Questions from the Community

What is your experience regarding pricing and costs for OvalEdge?
The pricing is affordable compared to other tools, and we opted for 500 user license.
What needs improvement with OvalEdge?
The lack of connectivity to mainframe systems and the complexity of integration with legacy data systems are areas needing improvement. Advanced jobs require extra training and fine-tuning, making ...
What is your primary use case for OvalEdge?
GDPR compliance and enabling users to understand the transformation of data from one database to another. It is used mainly as a data catalog for data discovery, allowing users to understand the da...
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.
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 ...
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...
 

Also Known As

No data available
Talend Data Quality, Talend Data Management Platform, Talend MDM Platform, Talend Data Streams, Talend Data Integration, Talend Data Integrity and Data Governance
 

Overview

 

Sample Customers

Beaumont CHKD, UpWork, Pon, Rakuten, Verbund, Globe, Naranja
Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group
Find out what your peers are saying about OvalEdge vs. Qlik Talend Cloud and other solutions. Updated: December 2025.
881,082 professionals have used our research since 2012.