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Apache Kafka vs Oracle Data Integrator (ODI) 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

Apache Kafka
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Streaming Analytics (7th)
Oracle Data Integrator (ODI)
Average Rating
8.2
Reviews Sentiment
6.7
Number of Reviews
70
Ranking in other categories
Data Integration (6th)
 

Mindshare comparison

Apache Kafka and Oracle Data Integrator (ODI) aren’t in the same category and serve different purposes. Apache Kafka is designed for Streaming Analytics and holds a mindshare of 0.4%, up 0.0% compared to last year.
Oracle Data Integrator (ODI), on the other hand, focuses on Data Integration, holds 5.5% mindshare, up 5.3% since last year.
Streaming Analytics
Data Integration
 

Q&A Highlights

RS
Sep 09, 2021
 

Featured Reviews

Snehasish Das - PeerSpot reviewer
Data streaming transforms real-time data movement with impressive scalability
I worked with Apache Kafka for customers in the financial industry and OTT platforms. They use Kafka particularly for data streaming. Companies offering movie and entertainment as a service, similar to Netflix, use Kafka Apache Kafka offers unique data streaming. It allows the use of data in…
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

"Resiliency is great and also the fact that it handles different data formats."
"Apache Kafka is scalable. It is easy to add brokers."
"The most valuable feature is the messaging function and reliability."
"It is a useful way to maintain messages and to manage offset from our consumers."
"Apache Kafka offers unique data streaming."
"Overall, I rate Apache Kafka as nine out of ten for its scalability and stability."
"Kafka's most valuable feature is its user-friendliness."
"The most valuable feature is the documentation, which is good and clear."
"It allows us to use many languages to develop and to integrate practically all the technologies of the Oracle suite as well as those from non-Oracle vendors."
"ODI significantly improves data integration and management by allowing customization of data types from various sources like SQL Server databases."
"Oracle Data Integrator offers a very good development environment and supports the use of multiple programming languages, including Python. It runs scenarios effectively, even when executing complex, long SQL scripts that are not runnable on other clients."
"The most valuable feature that we use is the Knowledge Modules."
"Oracle provides great documentation."
"ODI's best features are customization, integration with other versioning tools, and the ability to define new knowledge modules."
"It's scalable."
"It is an ETL tool, which does the extract, transform, and load."
 

Cons

"Apache Kafka can improve by making the documentation more user-friendly. It would be beneficial if we could explain to customers in more detail how the solution operates but the documentation get highly technical quickly. For example, if they had a simple page where we can show the customers how it works without the need for the customer to have a computer science background."
"Prioritization of messages in Apache Kafka could improve."
"Too much dependency on the zookeeper and leader selection is still the bottleneck for Kafka implementation."
"Kafka's interface could also use some work. Some of our products are in C, and we don't have any libraries to use with C. From an interface perspective, we had a library from the readies. And we are streaming some of the products we built to readies. That is one of the requirements. It would be good to have those libraries available in a future release for our C++ clients or public libraries, so we can include them in our product and build on that."
"The solution should be easier to manage. It needs to improve its visualization feature in the next release."
"The solution's initial setup process was complex."
"One of the things I am mostly looking for is that once the message is picked up from Kafka, it should not be visible or able to be consumed by other applications, or something along those lines. That feature is not present, but it is not a limitation or anything of the sort; rather, it is a desirable feature. The next release should include a feature that prevents messages from being consumed by other applications once they are picked up by Kafka."
"One complexity that I faced with the tool stems from the fact that since it is not kind of a stand-alone application, it won't integrate with native cloud, like AWS or Azure."
"There could be better compatibility with other ETL tools and cloud platforms."
"Stability could be improved because some operators have issues."
"I rate it a seven out of 10 because there is room for growth because ODI is still new, in comparison to Informatica, which is a mature product."
"The resource management aspect of the solution could be improved."
"Reverse engineering is complicated and challenging to manage."
"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 stability of the software could be improved. Sometimes, the software just crashes. ​"
"ODI could improve the ease of use. There is a steep learning curve to use the solution."
 

Pricing and Cost Advice

"This is an open-source version."
"Apache Kafka is an open-source solution."
"The price for the enterprise version is quite high. For on-premise, there is an annual fee, which starts at 60,000 euros, but it is usually higher than 100,000 euros. The cost for a project including the subscription is usually between 100,000 to 200,000 euros. The cost also depends on the level of support. There are two different levels of support."
"Apache Kafka has an open-source pricing."
"Running a Kafka cluster can be expensive, especially if you need to scale it up to handle large amounts of data."
"It's a premium product, so it is not price-effective for us."
"We are using the free version of Apache Kafka."
"Apache Kafka is an open-source solution."
"The solution is very expensive."
"The solution is expensive because of the model they use. The cost is for the license and for support."
"The license can be costly, but in certain complex cases, ODI proves to be the optimal solution."
"There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."
"ODI comes included when buying the cloud version of the Oracle database license."
"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."
"I have yet to determine the exact figure for Oracle Data Integrator (ODI) pricing, but it has lower pricing than Informatica."
"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."
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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…
 

Answers from the Community

RS
Sep 9, 2021
Sep 9, 2021
There are two products I know about * TimeXtender : Microsoft based, Transformation logic is quiet good and can easily be extended with T-SQL , Has a semantic layer that generates metat data for cubes . price approx 40K$, works with tables . Attunity (Bought by Qlik) : technology agnostic , nice web interface , expensive > 100K€. Works with transaction logs There are many other pure ETL ...
2 out of 12 answers
SS
Apr 6, 2020
We usually use Talend. Look here: https://community.talend.com/t5/Design-and-Development/The-way-from-OLTP-to-OLAP/td-p/116719
RS
Apr 7, 2020
Thanks Stefan !!! May I know if Talend is opensource /free ? It is available in all 3 editions - basic , standard end enterprise? it is capable to read data from all heterogeneous system like various types of data bases and files etc..?
 

Top Industries

By visitors reading reviews
Financial Services Firm
31%
Computer Software Company
12%
Manufacturing Company
6%
Retailer
5%
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

What are the differences between Apache Kafka and IBM MQ?
Apache Kafka is open source and can be used for free. It has very good log management and has a way to store the data used for analytics. Apache Kafka is very good if you have a high number of user...
What do you like most about Apache Kafka?
Apache Kafka is an open-source solution that can be used for messaging or event processing.
What is your experience regarding pricing and costs for Apache Kafka?
The open-source version of Apache Kafka results in minimal costs, mainly linked to accessing documentation and limited support. Enterprises usually opt for the more cost-effective open-source edition.
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 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
 

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Sample Customers

Uber, Netflix, Activision, Spotify, Slack, Pinterest
Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
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