Try our new research platform with insights from 80,000+ expert users

Apache Kafka vs Oracle Data Integrator (ODI) comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Apache Kafka
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
84
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 0.3%, up 0.0% compared to last year.
Oracle Data Integrator (ODI), on the other hand, focuses on Data Integration, holds 5.4% mindshare, up 5.4% since last year.
Streaming Analytics
Data Integration
 

Q&A Highlights

RS
Sep 09, 2021
 

Featured Reviews

Eyob Alemu - PeerSpot reviewer
Significant cost savings with real-time processing and fast recovery
We use Kafka for a stage event-driven process from a process perspective. Our platform is an ID platform, so after registration data is received, it has to be stored from various registration locations. The process includes stages like quality checking, consistency, format, biometric data checking…
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 use of Kafka's logging mechanism has been extremely beneficial for us, as it allows us to sequence messages, track pointers, and manage memory without having to create multiple copies."
"Apache Kafka is scalable. It is easy to add brokers."
"The high availability is valuable. It is robust, and we can rely on it for a huge amount of data."
"Kafka provides us with a way to store the data used for analytics. That's the big selling point. There's very good log management."
"Kafka's most valuable feature is its user-friendliness."
"The most valuable feature of Kafka is the Kafka Streams client."
"We get amazing throughput. We don't get any delay."
"Kafka, as compared with other messaging system options, is great for large scale message processing applications. It offers high throughput with built-in fault-tolerance and replication."
"The most valuable feature is Data movement."
"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."
"It effectively manages errors through its logging and exception-handling capabilities."
"It's completely user-friendly."
"The most valuable feature of ODI is the to use of the whole ETL to create a data lake."
"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."
"Most of the functions are very straightforward, like the data model, mapping, package, and load plan. Thus, a new user could get started very fast."
"It has the ability to easily load slowly changing dimensions."
 

Cons

"Data pulling and restart ability need improving."
"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."
"The management overhead is more compared to the messaging system. There are challenges here and there. Like for long usage, it requires restarts and nodes from time to time."
"Lacks elasticity and the ability to scale down."
"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."
"The UI used to access Kafka topics can be further improved."
"Confluent has improved aspects like documentation and cloud support, yet Kafka's reliance on older architectures like ZooKeeper in previous versions is a limitation."
"The solution can improve by having automation for developers. We have done many manual calculations and it has been difficult but if it was automated it would be much better."
"An area for improvement in Oracle Data Integrator (ODI) is real-time integration. Currently, my company has a workaround to implement real-time integration, an area on which Oracle must focus more. Real-time integration should be easier in Oracle Data Integrator (ODI). Another area for improvement in Oracle Data Integrator (ODI) is integration with more publishers and subscribers rather than just database integrations."
"ODI could improve by focusing on streamlining its features without unnecessary overhead."
"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. Sometimes error description is not helpful to understand the problem it gives some generic type of errors which are at times not that helpful to understand the underlying root cause of the issue."
"The Oracle Data Integrator interface is extremely slow, especially when using remote desktop connections."
"It needs easier security."
"Reverse engineering is complicated and challenging to manage."
"At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly."
"We used a third party to do the implementation of ODI."
 

Pricing and Cost Advice

"Apache Kafka is an open-source solution and there are no fees, but there are fees associated with confluence, which are based on subscription."
"Licensing issues are not applicable. Apache licensing makes it simple with almost zero cost for the software itself."
"Apache Kafka is free."
"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 is an open-sourced solution. There are fees if you want the support, and I would recommend it for enterprises. There are annual subscriptions available."
"It's a bit cheaper compared to other Q applications."
"The cost can vary depending on the provider and the specific flavor or version you use. I'm not very knowledgeable about the pricing details."
"The solution is free, it is open-source."
"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."
"We found that the cost compared to other integration tools is a little high, but the solution works great."
"I have yet to determine the exact figure for Oracle Data Integrator (ODI) pricing, but it has lower pricing than Informatica."
"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."
"The solution is very expensive."
"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 rate the platform pricing as five out of ten."
report
Use our free recommendation engine to learn which Streaming Analytics solutions are best for your needs.
824,053 professionals have used our research since 2012.
 

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
13%
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?
We use Apache Kafka, which is open-source, so we don't have fees. I can't comment on ownership costs as I am not responsible for that domain.
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

Uber, Netflix, Activision, Spotify, Slack, Pinterest
Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
Find out what your peers are saying about Databricks, Amazon Web Services (AWS), Confluent and others in Streaming Analytics. Updated: December 2024.
824,053 professionals have used our research since 2012.