Oracle Big Data SQL vs Qlik Talend Cloud comparison

Oracle and Qlik are both solutions in the Cloud Data Integration category. Oracle is ranked #25, while Qlik is ranked #7 with an average rating of 8.0. Oracle holds a 1.2% mindshare in CDI, compared to Qlik’s 4.9% mindshare. Additionally, 100% of Oracle users are willing to recommend the solution, compared to 88% of Qlik users who would recommend it.

Oracle Big Data SQL

Read 2 Oracle Big Data SQL reviews

495 Views
327 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 55 Qlik Talend Cloud reviews

8,555 Views
1,797 Comparison Views

88% willing to recommend

Oracle Big Data SQL

Qlik Talend Cloud

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Executive SummaryUpdated on Feb 22, 2026

Qlik Talend Cloud and Oracle Big Data SQL are competing in data integration and analytics. Qlik Talend Cloud is favored for pricing and support, while Oracle Big Data SQL is chosen for advanced functionality.

Features: Qlik Talend Cloud offers strong ETL capabilities, integration with various data sources, and a user-friendly environment. Oracle Big Data SQL is notable for its extensive data processing features, strong analytical capabilities, and integration within Oracle's ecosystem.

Ease of Deployment and Customer Service: Qlik Talend Cloud provides easy cloud deployment, simplifying integration with commendable customer support. Oracle Big Data SQL may require more effort for local deployment but provides robust support within Oracle products.

Pricing and ROI: Qlik Talend Cloud is cost-effective, ideal for budget-conscious organizations with quick ROI due to low setup costs. Oracle Big Data SQL requires higher initial investment, justified by its functionality and long-term value in advanced analytics.

To learn more, read our detailed Oracle Big Data SQL vs. Qlik Talend Cloud Report (Updated: March 2026).

Buyer's Guide

Oracle Big Data SQL vs. Qlik Talend Cloud

March 2026

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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 Big Data SQL

Ranking in Cloud Data Integration

25th

Average Rating

8.6

Reviews Sentiment

7.6

Number of Reviews

Ranking in other categories

No ranking in other categories

Qlik Talend Cloud

Ranking in Cloud Data Integration

7th

Average Rating

8.0

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Data Integration (5th), Data Quality (2nd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (8th), Integration Platform as a Service (iPaaS) (6th)

Mindshare comparison

As of March 2026, in the Cloud Data Integration category, the mindshare of Oracle Big Data SQL is 1.2%, up from 0.3% compared to the previous year. The mindshare of Qlik Talend Cloud is 4.9%, up from 3.8% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Mindshare Distribution
Product	Mindshare (%)
Qlik Talend Cloud	4.9%
Oracle Big Data SQL	1.2%
Other	93.9%

Cloud Data Integration

Featured Reviews

Mohamed Moustafa

General Manager at Quit cement

Offers good scalability, strong stability and seamless integration

The user interface is really user-friendly and intuitive. It was a major plus. The integration process was smooth. Oracle's security is good and significantly better than that of other solutions I've encountered. Previously, we had separate data interfaces for 15 concrete mixing plants, requiring manual document creation in Oracle. Now, with integrated automation, production has become much easier and more efficient over the past three years.

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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.

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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

"This solution can maintain a large volume of data and is flexible to what data it can handle. The performance is very good."

"The user interface is really user-friendly and intuitive."

"This solution can maintain a large volume of data and is flexible to what data it can handle."

"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."

"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."

"It meets our operational and analytical data integration needs by providing us with a high performing set of tools to access, transform and integrate data in real time."

"Talend is user-friendly and has many components and connectors, which makes it a great choice."

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

"The wide range of components which suits a variety of purposes and provides a flexible development environment to the coder."

"I'm very passionate about this solution because if you look at any other tool that costs around $200 - $300,000, like Delphix which costs you a million dollars, Talend is very cheap and is almost is at par with what others can do. There is one thing which Delphix does which Talend cannot do, but overall, I would say apart from that, if you're looking for a solution, you should give it a try."

"The tool was mainly used for ETL processes to apply governance rules on data."

More Qlik Talend Cloud pros

Cons

"The solution could improve by adding more advanced features."

"There is room for improvement in the pricing."

"I think the subscription-based model is concerning because as I mentioned, some of our other projects are migrating to different tools."

"I encountered scalability issues."

"The tool's technical support needs to be better. It doesn't have a local data center but pushes everything to the cloud. They need to check in with customers to see if they're happy and how well the solutions work. They need to assign a customer success manager for the accounts they sell."

"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."

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

"The product's setup process could be simpler."

"Performance and speed could be improved."

"I would say that some of the support elements need improvement."

More Qlik Talend Cloud cons

Pricing and Cost Advice

Information not available

"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."

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

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

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

"The licensing cost is about 40,000 Euros a year."

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

"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

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

13%

Computer Software Company

Comms Service Provider

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

No data available

By reviewers
Company Size	Count
Small Business	20
Midsize Enterprise	11
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 ...

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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...

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Comparisons

Microsoft Graph Data Connect vs Oracle Big Data SQL

Compared 33% of the time

Elastic Search vs Oracle Big Data SQL

Compared 18% of the time

Palantir Foundry vs Oracle Big Data SQL

Compared 17% of the time

DataDirect vs Oracle Big Data SQL

Compared 16% of the time

Oracle GoldenGate Cloud Service vs Oracle Big Data SQL

Compared 16% of the time

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

Compared 5% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 3% of the time

SSIS vs Qlik Talend Cloud

Compared 3% of the time

n8n vs Qlik Talend Cloud

Compared 2% of the time

Databricks vs Qlik Talend Cloud

Compared 2% of the time

More Qlik Talend Cloud Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

March 2026

Download Oracle Big Data SQL product report

Buyer's Guide

Qlik Talend Cloud

March 2026

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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

A culture of innovation has propelled Oracle since its inception. Today, thanks to exceptional people, we lead the market in autonomous, cloud, and applications technologies.

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

Information Not Available

Aliaxis, Electrocomponents, M¾NCHENER VEREIN, The Sunset Group

Buyer's Guide

Oracle Big Data SQL vs. Qlik Talend Cloud

March 2026

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