Oracle Big Data SQL vs Talend Data Integration comparison

Oracle and Talend are both solutions in the Cloud Data Integration category. Oracle is ranked #18 with an average rating of 10.0, while Talend is ranked #19 with an average rating of 8.3. Oracle holds a 0.6% mindshare in CDI, compared to Talend’s 1.5% mindshare. Additionally, 100% of Oracle users are willing to recommend the solution, compared to 100% of Talend users who would recommend it.

Oracle Big Data SQL

Read 2 Oracle Big Data SQL reviews

194 Views
124 Comparison Views

100% willing to recommend

Talend Data Integration

Read 8 Talend Data Integration reviews

1,024 Views
440 Comparison Views

100% willing to recommend

Oracle Big Data SQL

Talend Data Integration

Comparison Buyer's Guide

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Executive SummaryUpdated on Jul 6, 2025

Talend Data Integration and Oracle Big Data SQL compete in data management and analytics. Talend Data Integration stands out for ease of deployment and customer satisfaction, whereas Oracle Big Data SQL offers superior analytics and scalability.

Features: Talend Data Integration offers robust ETL capabilities, flexibility, and connectivity to various data sources. Oracle Big Data SQL excels in seamless integration with Oracle databases, high-performance analytics over Hadoop, and efficient cloud infrastructure utilization.

Ease of Deployment and Customer Service: Talend Data Integration is easy to deploy with strong customer support. Oracle Big Data SQL requires sophisticated setup but benefits from Oracle's extensive support infrastructure.

Pricing and ROI: Talend Data Integration is cost-effective with a low initial setup cost and a flexible licensing model. Oracle Big Data SQL has a higher initial cost but offers a long-term investment appeal due to its advanced analytics capabilities, leading to a longer ROI cycle.

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

Buyer's Guide

Oracle Big Data SQL vs. Talend Data Integration

September 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

Talend Data Integration

Ranking in Cloud Data Integration

19th

Average Rating

8.2

Reviews Sentiment

6.5

Number of Reviews

Ranking in other categories

Integration Platform as a Service (iPaaS) (14th)

Mindshare comparison

As of October 2025, in the Cloud Data Integration category, the mindshare of Oracle Big Data SQL is 0.6%, up from 0.2% compared to the previous year. The mindshare of Talend Data Integration is 1.5%, up from 1.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.

Cloud Data Integration Market Share Distribution
Product	Market Share (%)
Oracle Big Data SQL	0.6%
Talend Data Integration	1.5%
Other	97.9%

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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Mubahir Rashid

Data Analytics Consultant at Aletha Corp

Offers flexibility and ease of integration while needing improvements in data flow management

I haven't worked with Talend Data Integration on real-time data processing; I have only seen the streaming component, and I think it can accommodate limited streaming, not at the level of larger big data platforms. Regarding ETL, Talend Data Integration is great, but concerning real-time data processing, people are not really sure about Talend Data Integration or might not know how it provides such types of flexibilities. I haven't worked on this aspect in Talend Data Integration, so this is definitely an area where it lacks. To elaborate on one drawback, 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. If I need to go back, I will have to use a memory component, or if I need to avoid memory consumption, I will have to read the data from step one again to join it with the third step.

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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 best feature of Talend Data Integration is its multiple data DB components; we have almost all the components and also cloud versions, with TMC allowing us to perform data preparation and data stewardship."

"Talend Data integration has a wide library of connectors."

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

"Flexibility is a key feature I appreciate about Talend Data Integration, especially the integration of Java within it and the ease of integrating with multiple source repositories such as GitHub and Bitbucket."

"Talend's most valuable feature is its ability to generate code and packages efficiently."

"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."

"Talend Data Integration has had a measurable impact on our organization by automating daily data loading processes, reducing manual effort by around three or four hours per day, improving data accuracy with error rates dropping by more than 70%, and enabling reporting teams to receive fresh data at least 50% faster for earlier and more confident decision-making."

"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."

More Talend Data Integration pros

Cons

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

"There is room for improvement in the pricing."

"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."

"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."

"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."

"Due to using the open-source version of Talend Data Integration, which lacks a scheduler, our current approach involves developing jobs in Talend, exporting them as Java packages, and utilizing an external scheduler, such as Windows Scheduler, to manage the scheduling process."

"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."

"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."

"Processing large volumes of data sometimes consumes a lot of resources."

"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."

More Talend Data Integration cons

Pricing and Cost Advice

Information not available

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

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

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Top Industries

By visitors reading reviews

No data available

Financial Services Firm

15%

Computer Software Company

11%

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	2
Midsize Enterprise	2
Large Enterprise	4

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 integration?

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.

See all answers

What is your experience regarding pricing and costs for Talend Data integration?

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

See all answers

What needs improvement with Talend Data integration?

See all answers

Comparisons

Palantir Foundry vs Oracle Big Data SQL

Compared 61% of the time

Elastic Search vs Oracle Big Data SQL

Compared 39% of the time

More Oracle Big Data SQL Competitors

SSIS vs Talend Data Integration

Compared 27% of the time

Talend Open Studio vs Talend Data Integration

Compared 16% of the time

Microsoft Azure Logic Apps vs Talend Data Integration

Compared 13% of the time

Oracle Data Integrator (ODI) vs Talend Data Integration

Compared 10% of the time

SAP Cloud Platform vs Talend Data Integration

Compared 10% of the time

More Talend Data Integration Competitors

Product Reports

Buyer's Guide

Cloud Data Integration

September 2025

Download Oracle Big Data SQL product report

Buyer's Guide

Integration Platform as a Service (iPaaS)

September 2025

Download Talend Data Integration product report

Also Known As

No data available

Talend Cloud Integration, Talend Integration Cloud, Talend Cloud Remote Engine for AWS

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

Talend Data Integration efficiently handles data transformation and integration with ease, supporting complex business needs. It enables seamless data management across all sources.

Talend Data Integration offers a robust platform for managing and transforming data. It connects disparate systems, enabling data flow across various environments. Users benefit from its ability to streamline processes and improve data accuracy. Its user-friendly interface and flexibility make it a preferred choice for data integration experts.

What are the key features of Talend Data Integration?

Data Transformation: Easily transforms diverse data formats to meet specific demands.
Real-time Data Integration: Facilitates immediate data flow for timely decision-making.
Scalability: Supports growing data volumes without compromising performance.
Data Quality Tools: Ensures high-quality data through built-in cleansing and profiling tools.

What benefits should be considered when evaluating Talend Data Integration?

Improved Efficiency: Streamline data processes, reducing time and resource expenditure.
Cost Savings: Minimize manual data handling and associated costs.
Enhanced Accuracy: Benefit from precise data insights due to robust data quality measures.
Flexibility: Cater to diverse data management needs, ensuring future adaptability.

In finance, Talend Data Integration enhances transaction data processing and compliance reporting. In healthcare, it ensures accurate patient data management, while in retail, it optimizes inventory and customer data analysis. Its adaptability makes it valuable across multiple sectors, addressing specific industry requirements.

Talend

Sample Customers

Information Not Available

ACCOR, ADR, L'OREAL, AstraZeneca

Buyer's Guide

Oracle Big Data SQL vs. Talend Data Integration

September 2025

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