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Oracle Data Integrator (ODI) vs SAP Data Hub comparison

 

Comparison Buyer's Guide

Executive Summary

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
73
Ranking in other categories
Data Integration (7th)
SAP Data Hub
Average Rating
7.6
Reviews Sentiment
6.8
Number of Reviews
3
Ranking in other categories
Data Governance (32nd), Metadata Management (15th)
 

Mindshare comparison

Oracle Data Integrator (ODI) and SAP Data Hub aren’t in the same category and serve different purposes. Oracle Data Integrator (ODI) is designed for Data Integration and holds a mindshare of 2.1%, down 4.5% compared to last year.
SAP Data Hub, on the other hand, focuses on Data Governance, holds 1.1% mindshare, up 1.0% since last year.
Data Integration Mindshare Distribution
ProductMindshare (%)
Oracle Data Integrator (ODI)2.1%
SSIS3.6%
Informatica Intelligent Data Management Cloud (IDMC)3.6%
Other90.7%
Data Integration
Data Governance Mindshare Distribution
ProductMindshare (%)
SAP Data Hub1.1%
Microsoft Purview Data Governance11.5%
Collibra Platform8.6%
Other78.8%
Data Governance
 

Featured Reviews

Hafiz Mannan - PeerSpot reviewer
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.
VM
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.

Quotes from Members

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

Pros

"The ROI is good."
"One of the standout features of ODI is its ability to prepare everything on a vertical level and create reusable components, which adds to its value."
"We realized we were behind and purchased a whole stack of Oracle products that have simplified the way we move and track data."
"It effectively manages errors through its logging and exception-handling capabilities."
"It increased ETL development efficiency 1/3 in time."
"The most valuable features of ODI are the ease of development, you can have a template, and you can onboard transfer very quickly. There's a lot of knowledge modules available that we can use. If you want to connect, for example, a Sibyl, SQL, Oracle, or different products, we don't have to develop them from scratch. They are available, but if it's not, we can go into the marketplace and see if there's a connector there. Having the connector available reduces the amount of hard work needed. We only have to put the inputs and outputs. In some of the products, we use there is already integration available for ODI, which is helpful."
"It is an ETL tool, which does the extract, transform, and load."
"So far, this product has been the best option for our organization, with more features and integration capabilities than other solutions."
"Having this solution enables us to approach our clients to upgrade their databases, and we upgrade them according to their business requirements."
"SAP is one of the most seamless ERPs that have integrated SAP archiving within Excel. I have not seen this with any other database."
"The most valuable feature is the S/4HANA 1909 On-Premise"
"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."
"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."
 

Cons

"Overall the product is fine, but sometimes its reports unknown errors while we compile ETL scripts."
"There are certain things where it can be improved. Initial solution setup seems a bit complex at the start, it should be improved because it becomes bit tough for a novice to get started on this."
"The initial setup is a bit complex compared to other tools."
"In our company, we haven't tried consuming services from IoT in our company yet, and I would like to know if the solution will support IoT services in the next release."
"Stability could be improved because some operators have issues."
"It's quite an expensive solution. We'd like it if they could adjust the pricing according to the region they are operating in."
"I think that the Oracle Fusion Middleware stack could be improved."
"Oracle takes a long time to respond and to provide a fix for issues. It takes, sometimes, up to eight weeks before Oracle will say that the issue is a bug."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"Nowadays there are some inconsistencies in data bases, however, they upgrade and release the versions to market."
"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."
"The company has everything offshore."
 

Pricing and Cost Advice

"There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."
"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."
"ODI comes included when buying the cloud version of the Oracle database license."
"We found that the cost compared to other integration tools is a little high, but the solution works great."
"The license can be costly, but in certain complex cases, ODI proves to be the optimal solution."
"The solution is very expensive."
"I rate the platform pricing as five out of ten."
"The solution is expensive because of the model they use. The cost is for the license and for support."
"The Cloud is very expensive, but SAP HANA previous service is okay."
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Comparison Review

it_user99375 - PeerSpot reviewer
Database Administrator at a tech services company with 51-200 employees
Mar 31, 2014
Oracle GoldenGate vs. Oracle Active Dataguard
As an Oracle DBA, while working upon high availability of your database you may stumble upon various Oracle strategic capabilities that fall into categories of Oracle Replication. Oracle provides various technologies for replication like GoldenGate, streams, and Active Dataguard. Replication…
 

Top Industries

By visitors reading reviews
Financial Services Firm
16%
Government
9%
Manufacturing Company
8%
Comms Service Provider
6%
Manufacturing Company
18%
Financial Services Firm
13%
Government
10%
Computer Software Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise44
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...
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...
What is your experience regarding pricing and costs for Oracle Data Integrator (ODI)?
The pricing aspect of Oracle Data Integrator (ODI) is reasonable; it brings significant value to the table. It's not a product for everyone, but for those needing to handle serious business data wi...
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Also Known As

ODI
No data available
 

Overview

 

Sample Customers

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