Oracle Big Data SQL vs Qlik Talend Cloud comparison

Oracle and Qlik are both solutions in the Cloud Data Integration category. Oracle is ranked #18 with an average rating of 10.0, while Qlik is ranked #7 with an average rating of 8.0. Oracle holds a 1.0% mindshare in CDI, compared to Qlik’s 4.4% 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

337 Views
216 Comparison Views

100% willing to recommend

Qlik Talend Cloud

Read 54 Qlik Talend Cloud reviews

6,400 Views
1,472 Comparison Views

88% willing to recommend

Oracle Big Data SQL

Qlik Talend Cloud

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Executive SummaryUpdated on Nov 18, 2025

Qlik Talend Cloud and Oracle Big Data SQL compete in data management and analytics. Qlik Talend Cloud holds an advantage in user-friendly pricing and customer support, whereas Oracle Big Data SQL is favored for comprehensive features suitable for advanced analytics.

Features: Qlik Talend Cloud specializes in seamless data integration, real-time data processing, and scalability, fitting for dynamic environments. Oracle Big Data SQL offers powerful large-scale data analysis, supports complex queries, and provides data warehousing capabilities, ideal for enterprises needing deep analytical insights.

Ease of Deployment and Customer Service: Qlik Talend Cloud is recognized for its easy deployment process and responsive customer service, appealing to clients prioritizing ease and support. Oracle Big Data SQL may present a more intricate deployment but offers extensive resources for integration within existing Oracle ecosystems, beneficial for organizations utilizing Oracle services.

Pricing and ROI: Qlik Talend Cloud features competitive pricing structures aimed at delivering early ROI, attracting cost-conscious businesses. Oracle Big Data SQL, potentially higher in initial costs, can offer significant long-term returns when integrated within existing Oracle products, appealing to companies focused on optimizing data-driven growth.

To learn more, read our detailed Oracle Big Data SQL vs. Qlik Talend Cloud Report (Updated: December 2025).

Buyer's Guide

Oracle Big Data SQL vs. Qlik Talend Cloud

December 2025

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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

18th

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 (9th), Data Quality (3rd), Data Scrubbing Software (1st), Master Data Management (MDM) Software (3rd), Data Governance (8th), Cloud Master Data Management (MDM) (4th), Streaming Analytics (9th), Integration Platform as a Service (iPaaS) (9th)

Mindshare comparison

As of January 2026, in the Cloud Data Integration category, the mindshare of Oracle Big Data SQL is 1.0%, up from 0.2% compared to the previous year. The mindshare of Qlik Talend Cloud is 4.4%, up from 4.1% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Market Share Distribution
Product	Market Share (%)
Qlik Talend Cloud	4.4%
Oracle Big Data SQL	1.0%
Other	94.6%

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

"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 performance is very good."

"The availability of connectors is great."

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

"The solution is customizable."

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

"We have multiple use cases for this solution. We integrate with Salesforce, SAP and Oracle databases to build business logic and provide reporting."

"We have used value frequency and patterns. We have been it impressed with these functions as they have helped us in making decisions in transformation work."

"It has definitely streamlined certain processes."

"The features that I find to be the most valuable are the extensibility, the integration, and the ease of integration with multiple platforms."

More Qlik Talend Cloud pros

Cons

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

"There is room for improvement in the pricing."

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

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

"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."

"Once you get past the basic tools, it gets pretty complicated."

"Needs integrated data governance in terms of dictionaries, glossaries, data lineage, and impact analysis. It also needs operationalization of meta-data."

"Talend Data Integration can be improved by reducing the license cost, as it is a bit high compared to other tools, which can be a burden for small-scale companies wanting to buy a license."

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

"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

Pricing and Cost Advice

Information not available

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

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

"License renewal is on a yearly basis."

"I would advise to first take a look and at the Open Studio edition. Figure out what you need and purchase the appropriate license."

"I have been using the open-source version."

"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."

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

10%

Comms Service Provider

Manufacturing Company

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

What do you like most about Oracle Big Data SQL?

The user interface is really user-friendly and intuitive.

See all answers

What needs improvement with Oracle Big Data SQL?

There is room for improvement in the pricing.

See all answers

What is your primary use case for Oracle Big Data SQL?

With Oracle Big Data SQL, I primarily managed data organization and structure. It helped streamline data within the system. I integrated Oracle with other systems. I worked with Oracle integrations...

See all answers

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.

See all answers

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

Comparisons

Microsoft Graph Data Connect vs Oracle Big Data SQL

Compared 32% of the time

Palantir Foundry vs Oracle Big Data SQL

Compared 25% of the time

DataDirect vs Oracle Big Data SQL

Compared 23% of the time

Elastic Search vs Oracle Big Data SQL

Compared 21% of the time

More Oracle Big Data SQL Competitors

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

Compared 7% of the time

Melissa Data Quality vs Qlik Talend Cloud

Compared 4% of the time

SSIS vs Qlik Talend Cloud

Compared 3% of the time

Collibra Platform vs Qlik Talend Cloud

Compared 3% of the time

SAP Data Services vs Qlik Talend Cloud

Compared 2% of the time

More Qlik Talend Cloud Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

January 2026

Download Oracle Big Data SQL product report

Buyer's Guide

Qlik Talend Cloud

January 2026

Download Qlik Talend Cloud product report

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

December 2025

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