Oracle Data Integrator (ODI) vs SAP Data Hub [EOL] comparison

The compared Oracle and SAP solutions aren't in the same category. Oracle is ranked #8 in DI , with an average rating of 7.3, and holds a 2.5% mindshare in the category. Additionally, 84% of Oracle users are willing to recommend the solution, compared to 66% of SAP users who would recommend it.

Oracle Data Integrator (ODI)

Read 73 Oracle Data Integrator (ODI) reviews

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6,263 Comparison Views

84% willing to recommend

SAP Data Hub [EOL]

Read 3 SAP Data Hub [EOL] reviews

66% willing to recommend

Oracle Data Integrator (ODI)

SAP Data Hub [EOL]

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Executive Summary

We performed a comparison between Oracle Data Integrator (ODI) and SAP Data Hub [EOL] based on real PeerSpot user reviews.

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Buyer's Guide

Data Integration

May 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 Data Integrator (ODI)

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Data Integration (8th)

SAP Data Hub [EOL]

Average Rating

7.6

Reviews Sentiment

6.8

Number of Reviews

Ranking in other categories

No ranking in other categories

Featured Reviews

Hafiz Mannan

Head of Data Services – Services Partner at 3 As Technologies

Facilitates complex data integration with ease and flexibility

It would be great if ODI could link the designer, mapping, and workflows in a more simplified manner, maybe in one combined interface. It would be excellent not to have to go into different areas to perform different activities but rather have a user-defined interface where we can configure a job, run it, monitor it, link packages, and link subprocesses all in one frame instead of having the designer separately, mapping separately, and monitoring and session management separately. With respect to data quality challenges, it would be great to give an option to fix data quality issues based on AI. Integrating AI with ODI that provides recommendations on how to fix those data quality issues after analyzing and profiling business data would be excellent. One of the main disadvantages of the Oracle Data Integrator (ODI) is that it sometimes takes a lot of resources when handling multiple jobs. The scalability and the ability to handle multiple workloads of several parallel ETL jobs could use improvement, and certain parallel threads should be added along with the ability to configure multiple jobs from the same data directory structure.

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Vijaya Macherla

GTM Lead at Capgemini

The solution is seamless, but the database sometimes leads to confusion

We used to have multiple different kinds of databases, which internally, had different compliance levels. Retention management is very different now. If the policy is live and the claim has been completed, I couldn't archive the claim. I needed to keep a reference integrity of that claim and understand which policy paid out the claim. With this solution, the policy came in six months ago and qualified for archiving. The claim had been paid and in every environment, the claim had been closed, including the reporting system, the claims system, etc. With the payment set gateway, I can just go and archive. But, we had a hard time during this process. I rate the overall solution a seven out of ten.

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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 ODI client can be configured so that Excel data can automatically be pumped into Oracle Forms directly."

"We looked at alternatives, but they could not provide us with the complete set of features."

"So far, this product has been the best option for our organization, with more features and integration capabilities than other solutions."

"The features that we have applied to our project has helped us reduce manual effort and increased our scalability and growth."

"The most valuable features of ODI are the knowledge modules, such as the Loading Knowledge module and the Check Knowledge module, they are helpful."

"My customers started to increase their ETL performance with great margins."

"We spend much less time developing integrations because all we need to focus on is the business logic."

"Due to this, the customer was able to get a deep-dive insight into their business performance across the south-east Asian logistics industry."

More Oracle Data Integrator (ODI) pros

"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."

"Its connection to on-premise products is the most valuable. We mostly use the on-premise connection, which is seamless. This is what we prefer in this solution over other solutions. We are using it the most for the orchestration where the data is coming from different categories. Its other features are very much similar to what they are giving us in open source. Their push-down approach is the most advantageous, where they push most of the processing on to the same data source. This means that they have a serverless kind of thing, and they don't process the data inside a product such as Data Hub. They process the data from where the data is coming out. If it is coming from HANA, to capture the data or process it for analytics, orchestration, or management, they go to the HANA database and give it out. They don't process it on Data Hub. This push-down approach increases the processing speed a little bit because the data is processed where it is sitting. That's the best part and an advantage. I have used another product where they used to capture the data first and then they used to process it and give it. In Data Hub, it is in reverse. They process it first and give it, and then they put their own manipulations. They lead in terms of business functions. No other solution has business functions already implemented to perform business analysis. They have a lot of prebuilt business functions for machine learning and orchestration, which we can use directly to get an analysis out from the existing data. Most of the data is sitting as enterprise data there. That's a major advantage that they have."

"The most valuable feature is the S/4HANA 1909 On-Premise"

"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."

"They lead in terms of business functions, and no other solution has business functions already implemented to perform business analysis, with a lot of prebuilt business functions for machine learning and orchestration that we can use directly to get an analysis out from the existing enterprise data."

Cons

"I think that the Oracle Fusion Middleware stack could be improved."

"The stability of the software could be improved. Sometimes, the software just crashes. "

"The main problem with ODI is that you have to create each step of the transformation as a new interface. A big data flow can have more than 100 interfaces, which can make it difficult to trace the data."

"I think Oracle should add more functions to improve optimization."

"I would only point out some minor bugs or glitches in the development interface (ODI studio)."

"The interface of ODI could be improved. For example, navigating and finding functions can be difficult. For example, you have to know which step you need to go to look at where your job status is. The logical step is a bit complex compared to other tools. It's much easier to get a graphical view, but with ODI, it's graphical, plus you have to know all the other pieces that fit around it. You have to think about the logical and physical aspects."

"The initial setup is a bit complex compared to other tools."

"One of the main disadvantages of the Oracle Data Integrator (ODI) is that it sometimes takes a lot of resources when handling multiple jobs."

More Oracle Data Integrator (ODI) cons

"In 2018, connecting it to outside sources, such as IoT products or IoT-enabled big data Hadoop, was a little complex. It was not smooth at the beginning. It was unstable. It took a lot of time for the initial data load. Sometimes, the connection broke, and we had to restart the process, which was a major issue, but they might have improved it now. It is very smooth with SAP HANA on-premise system, SAP Cloud Platform, and SAP Analytics Cloud. It could be because these are their own products, and they know how to integrate them. With Hadoop, they might have used open-source technologies, and that's why it was breaking at that time. They are providing less embedded integration because they want us to use their other products. For example, they don't want to go and remove SAP Analytics Cloud and put everything in Data Hub. They want us to use SAP Analytics Cloud somewhere else and not inside the Data Hub. On the integration part, it lacks real-time analytics, and it is slow. They should embed the SAP Analytics Cloud inside Data Hub or support some kind of analysis. They do provide some analysis, but it is not extensive. They are moreover open source. So, we need a lot of developers or data scientists to go in and implement Python algorithms. It would be better if they can provide their own existing algorithms and give some connections and drop-down menus to go and just configure those. It will make things really quick by increasing the embedded integrations. It will also improve the process efficiency and processing power. Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this. In terms of technology and performance, it is a little slow as compared to Microsoft and other data orchestration products. I haven't used other products, but I have read about those products, their settings, and the milliseconds that they do. In Azure Purview, they say that they can copy, manage, or transform the data within milliseconds. They say that they can transform 100 gigabytes of data within three to five seconds, which is something SAP cannot do. It generally takes a lot of time to process that much amount of data. However, I have never tested out Azure."

"Its performance needs improvement. It is a little slow. It is not the best in the market, and there are other products that are much better than this."

"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."

"The company has everything offshore."

Pricing and Cost Advice

"The solution is very expensive."

"We found that the cost compared to other integration tools is a little high, but the solution works great."

"The solution is expensive because of the model they use. The cost is for the license and for support."

"ODI comes included when buying the cloud version of the Oracle database license."

"Per user, it is $900 USD per year, though they will give some discount. However, even a 60% to 70% of discount for each won't help us much. On top of that, there is the perpetual license you must pay at the outset."

"The Oracle Data Integrator (ODI) pricing isn't expensive, but it's not cheap, so it's in the middle. I'd rate the pricing as three out of five."

"I have yet to determine the exact figure for Oracle Data Integrator (ODI) pricing, but it has lower pricing than Informatica."

"Being an ODI developer, I never had to pay for this product. I know that the pricing/licensing is not really low, but the product is really good."

More Oracle Data Integrator (ODI) pricing and cost advice

"The Cloud is very expensive, but SAP HANA previous service is okay."

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Top Industries

By visitors reading reviews

Financial Services Firm

15%

Government

Manufacturing Company

Comms Service Provider

Manufacturing Company

17%

Financial Services Firm

13%

Construction Company

Government

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

By reviewers
Company Size	Count
Small Business	26
Midsize Enterprise	12
Large Enterprise	44

No data available

Questions from the Community

What's the difference between Oracle Integration Cloud Service and Oracle Data Integrator (ODI)?

Oracle Integration Cloud Service has a fairly easy initial setup, and Oracle offers initial support and guidance for those who might find the setup to be challenging. There are complications that c...

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What do you like most about Oracle Data Integrator (ODI)?

In comparison with other products of the same range, licensing mode is really attractive, no need to license according technology/topology to be used and an incredible Versatility to build any Data...

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What is your experience regarding pricing and costs for Oracle Data Integrator (ODI)?

I need two administrators for Oracle Data Integrator (ODI).

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Comparisons

Oracle Integration Cloud Service vs Oracle Data Integrator (ODI)

Compared 21% of the time

Informatica PowerCenter vs Oracle Data Integrator (ODI)

Compared 6% of the time

SSIS vs Oracle Data Integrator (ODI)

Compared 5% of the time

Pentaho Data Integration and Analytics vs Oracle Data Integrator (ODI)

Compared 3% of the time

Oracle GoldenGate vs Oracle Data Integrator (ODI)

Compared 3% of the time

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Informatica Intelligent Data Management Cloud (IDMC) vs SAP Data Hub [EOL]

Compared 12% of the time

Collibra Platform vs SAP Data Hub [EOL]

Compared 11% of the time

Microsoft Purview Data Governance vs SAP Data Hub [EOL]

Compared 6% of the time

SAS Data Management vs SAP Data Hub [EOL]

Compared 6% of the time

Palantir Foundry vs SAP Data Hub [EOL]

Compared 6% of the time

More SAP Data Hub [EOL] Competitors

Product Reports

Buyer's Guide

Oracle Data Integrator (ODI)

April 2026

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Buyer's Guide

Data Governance

April 2026

Download SAP Data Hub [EOL] product report

Also Known As

ODI

No data available

Overview

Oracle Data Integrator offers flexible EL-T architecture, optimizing processing with database capabilities. It supports diverse data sources, automates deployment, and provides efficient data transformations, making it suitable for data warehousing and complex data environments.

Oracle Data Integrator leverages EL-T architecture to enhance processing by utilizing database strengths. It integrates with a wide array of technologies, including RDBMS, cloud, and big data. The software's Knowledge Modules enable customizable integration strategies, accelerating development. With a user-friendly interface and automation features, it simplifies metadata management and supports real-time data warehousing. Key areas such as UI performance, integration, and real-time data capabilities require enhancements. Challenges include error handling, initial setup, and compatibility with platforms like Git, Azure, and IoT services. Improvements in metadata management, scalability, and user-friendliness are needed.

What are the most important features of Oracle Data Integrator?

EL-T Architecture: Optimizes data processing by leveraging database capabilities
Knowledge Modules: Customizable strategies for faster development
Integration Support: Handles RDBMS, cloud, and big data
Automation: Facilitates rapid deployment and transformations
Real-Time Data Warehousing: Supports continuous data integration

What benefits and ROI should users consider?

Flexibility: Adapts to multiple data integration needs
Efficiency: Leverages existing database engines for optimal ETL functionalities
Scalability: Manages complex, large-scale environments
Cost-Effectiveness: Supports diverse data sources and technology platforms

Organizations utilize Oracle Data Integrator primarily in data warehousing, handling data from ERP systems, EBS, Fusion, and cloud databases. It aids in creating data lakes, OLTP migrations, digital health initiatives, and automation tasks, ensuring seamless integration with databases like MySQL and SQL Server.

Oracle

The SAP® Data Hub solution enables sophisticated data operations management. It gives you the capability and flexibility to connect enterprise data and Big Data and gain a deep understanding of data and information processes across sources and systems throughout the distributed landscape. The unified solution provides visibility and control into data opportunities, integrating cloud and on-premise information and driving data agility and business value. Distributed processing power enables greater speed and efficiency.

SAP

Sample Customers

Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University

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