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Azure Data Factory vs Oracle Data Integrator (ODI) comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Oct 8, 2024
 

Categories and Ranking

Azure Data Factory
Ranking in Data Integration
1st
Average Rating
8.0
Reviews Sentiment
6.9
Number of Reviews
86
Ranking in other categories
Cloud Data Warehouse (3rd)
Oracle Data Integrator (ODI)
Ranking in Data Integration
6th
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
70
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of December 2024, in the Data Integration category, the mindshare of Azure Data Factory is 11.0%, down from 13.3% compared to the previous year. The mindshare of Oracle Data Integrator (ODI) is 5.4%, up from 5.4% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Integration
 

Featured Reviews

Thulani David Mngadi - PeerSpot reviewer
Data flow feature is valuable for data transformation tasks
The workflow automation features in GitLab, particularly its low code/no code approach, are highly beneficial for accelerating development speed. This feature allows for quick creation of pipelines and offers customization options for integration needs, making it versatile for various use cases. GitLab supports a wide range of connectors, catering to a majority of integration needs. Azure Data Factory's virtual enterprise and monitoring capabilities, the visual interface of GitLab makes it user-friendly and easy to teach, facilitating adoption within teams. While the monitoring capabilities are sufficient out of the box, they may not be as comprehensive as dedicated enterprise monitoring tools. GitLab's monitoring features are manageable for production use, with the option to integrate log analytics or create custom dashboards if needed. The data flow feature in Azure Data Factory within GitLab is valuable for data transformation tasks, especially for those who may not have expertise in writing complex code. It simplifies the process of data manipulation and is particularly useful for individuals unfamiliar with Spark coding. While there could be improvements for more flexibility, overall, the data flow feature effectively accomplishes its purpose within GitLab's ecosystem.
Jagadish Sau - PeerSpot reviewer
Straightforward to implement, scalable, and has good stability and documentation, but technical support could still be improved
My company has around ten users of Oracle Data Integrator (ODI). A team of two to five people handles the deployment and maintenance of the solution. The current client of my company has this plan of moving to the cloud, with the possibility of replacing the ETL tool altogether, which could mean that more data is coming up, so there may be a plan to increase the usage of Oracle Data Integrator (ODI). My advice to others looking into implementing Oracle Data Integrator (ODI) is that if your database is on Oracle or SQL server, then Oracle Data Integrator (ODI) is a good tool to use. My rating for Oracle Data Integrator (ODI) is 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 user interface is very good. It makes me feel very comfortable when I am using the tool."
"It is easy to integrate."
"The initial setup is very quick and easy."
"One advantage of Azure Data Factory is that it's fast, unlike SSIS and other on-premise tools. It's also very convenient because it has multiple connectors. The availability of native connectors allows you to connect to several resources to analyze data streams."
"It is easy to deploy workflows and schedule jobs."
"The trigger scheduling options are decently robust."
"The two most valuable features of Azure Data Factory are that it's very scalable and that it's also highly reliable."
"Its integrability with the rest of the activities on Azure is most valuable."
"I like that Oracle Data Integrator (ODI) has a straightforward setup and offers good technical support."
"It can integrate with more recent databases like Cassandra, Hadoop, and other more recent Big Data databases."
"It uses the power of the database system efficiently."
"The most valuable feature of ODI is the to use of the whole ETL to create a data lake."
"All ETL code is stored in repositories in underlying database schemas. The number of users can access and work on the same solution using a client tool. So distributed teams can work on this tool in an efficient manner."
"ODI significantly improves data integration and management by allowing customization of data types from various sources like SQL Server databases."
"ODI's most valuable features are it utilizes the database engine and is very lightweight."
"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."
 

Cons

"Data Factory would be improved if it were a little more configuration-oriented and not so code-oriented and if it had more automated features."
"Data Factory's cost is too high."
"I would like to be informed about the changes ahead of time, so we are aware of what's coming."
"The pricing model should be more transparent and available online."
"Occasionally, there are problems within Microsoft itself that impacts the Data Factory and causes it to fail."
"The number of standard adaptors could be extended further."
"Currently, our company requires a monitoring tool, and that isn't available in Azure Data Factory."
"Real-time replication is required, and this is not a simple task."
"It needs easier security."
"ODI could improve by being more user-friendly. Informatica, which is also an ETL tool, similar to ODI, but Informatica is very user-friendly, easy to use, and simple to integrate, compared to ODI. ODI has many features, put them all together, and sometimes we get confused about which ones to use, which ones not to use."
"The solution lacks some functions and features."
"If there was an add-on tool to hide the performance issues and solve them for me, then I might be interested in that as it would provide me value."
"Technical Support could be better."
"Reverse engineering is complicated and challenging to manage."
"An area for improvement would be the lack of SQL compatibility - ODI has no ability to interact with SQL unstructured types and data types."
"It would be really good if Oracle considered enabling the tool to integrate with some other platforms that are deprecated simply for commercial reasons"
 

Pricing and Cost Advice

"I would not say that this product is overly expensive."
"The pricing is pay-as-you-go or reserve instance. Of the two options, reserve instance is much cheaper."
"The solution's pricing is competitive."
"My company is on a monthly subscription for Azure Data Factory, but it's more of a pay-as-you-go model where your monthly invoice depends on how many resources you use. On a scale of one to five, pricing for Azure Data Factory is a four. It's just the usage fees my company pays monthly."
"I am aware of the pricing of Azure Data Factory, but I prefer not to disclose specific details."
"For our use case, it is not expensive. We take into the picture everything: resources, learning curve, and maintenance."
"Data Factory is affordable."
"The licensing model for Azure Data Factory is good because you won't have to overpay. Pricing-wise, the solution is a five out of ten. It was not expensive, and it was not cheap."
"The license can be costly, but in certain complex cases, ODI proves to be the optimal solution."
"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."
"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."
"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."
"The solution is very expensive."
"There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."
"We found that the cost compared to other integration tools is a little high, but the solution works great."
"ODI comes included when buying the cloud version of the Oracle database license."
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Comparison Review

it_user99375 - PeerSpot reviewer
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
13%
Computer Software Company
12%
Manufacturing Company
9%
Healthcare Company
7%
Financial Services Firm
16%
Computer Software Company
13%
Government
9%
Manufacturing Company
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

How do you select the right cloud ETL tool?
AWS Glue and Azure Data factory for ELT best performance cloud services.
How does Azure Data Factory compare with Informatica PowerCenter?
Azure Data Factory is flexible, modular, and works well. In terms of cost, it is not too pricey. It offers the stability and reliability I am looking for, good scalability, and is easy to set up an...
How does Azure Data Factory compare with Informatica Cloud Data Integration?
Azure Data Factory is a solid product offering many transformation functions; It has pre-load and post-load transformations, allowing users to apply transformations either in code by using Power Q...
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)?
ODI significantly improves data integration and management by allowing customization of data types from various sources like SQL Server databases.
What is your experience regarding pricing and costs for Oracle Data Integrator (ODI)?
The pricing of Oracle Cloud Services is not favorable as it charges daily regardless of usage, unlike competitors who charge only for days used.
 

Also Known As

No data available
ODI
 

Learn More

 

Overview

 

Sample Customers

1. Adobe 2. BMW 3. Coca-Cola 4. General Electric 5. Johnson & Johnson 6. LinkedIn 7. Mastercard 8. Nestle 9. Pfizer 10. Samsung 11. Siemens 12. Toyota 13. Unilever 14. Verizon 15. Walmart 16. Accenture 17. American Express 18. AT&T 19. Bank of America 20. Cisco 21. Deloitte 22. ExxonMobil 23. Ford 24. General Motors 25. IBM 26. JPMorgan Chase 27. Microsoft (Azure Data Factory is developed by Microsoft) 28. Oracle 29. Procter & Gamble 30. Salesforce 31. Shell 32. Visa
Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
Find out what your peers are saying about Azure Data Factory vs. Oracle Data Integrator (ODI) and other solutions. Updated: December 2024.
824,053 professionals have used our research since 2012.