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Apache Kafka vs Oracle Data Integrator (ODI) comparison

 

Comparison Buyer's Guide

Executive Summary
 

Categories and Ranking

Apache Kafka
Average Rating
8.0
Reviews Sentiment
6.4
Number of Reviews
82
Ranking in other categories
Streaming Analytics (7th)
Oracle Data Integrator (ODI)
Average Rating
8.2
Reviews Sentiment
6.8
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 0.2%, up 0.0% compared to last year.
Oracle Data Integrator (ODI), on the other hand, focuses on Data Integration, holds 5.2% mindshare, down 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

"It is the performance that is really meaningful."
"The open-source version is relatively straightforward to set up and only takes a few minutes."
"valuable features relate to microservices architecture and working on KStream and KSQL DB as a microservices event bus."
"It's very easy to keep to install and it's pretty stable."
"It is a useful way to maintain messages and to manage offset from our consumers."
"All the features of Apache Kafka are valuable, I cannot single out one feature."
"Good horizontal scaling and design."
"This is a system for email and other small devices. There has been a relay of transactions continuously over the last two years it has been in production."
"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."
"The initial setup is easy."
"The most valuable features of ODI are the knowledge modules, such as the Loading Knowledge module and the Check Knowledge module, they are helpful. We can check for the constraints in ODI. That helps in figuring out what are the constraints that are the primary keys created in the tables. We can check them with the Check Knowledge module."
"It's completely user-friendly."
"Easy to understand, very developer-friendly, and has a big forum community and lots of documentation for support."
"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."
"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."
"ODI significantly improves data integration and management by allowing customization of data types from various sources like SQL Server databases."
 

Cons

"I would like to see an improvement in authentication management."
"They need to have a proper portal to do everything because, at this moment, Kafka is lagging in this regard."
"There is a lot of information available for the solution and it can be overwhelming to sort through."
"Kafka has a lot of monitors, but sometimes it's most important to just have a simple monitor."
"In the next release, I would like for there to be some authorization and HTL security."
"The solution should be easier to manage. It needs to improve its visualization feature in the next release."
"The interface has room for improvement, and there is a steep learning curve for Hadoop integration. It was a struggle learning to send from Hadoop to Kafka. In future releases, I'd like to see improvements in ETL functionality and Hadoop integration."
"Kafka requires non-trivial expertise with DevOps to deploy in production at scale. The organization needs to understand ZooKeeper and Kafka and should consider using additional tools, such as MirrorMaker, so that the organization can survive an availability zone or a region going down."
"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."
"There could be better compatibility with other ETL tools and cloud platforms."
"​The stability of the software could be improved. Sometimes, the software just crashes. ​"
"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."
"An area for improvement would be the lack of SQL compatibility - ODI has no ability to interact with SQL unstructured types and data types."
"Stability could be improved because some operators have issues."
"The performance of the user interface is in need of improvement."
"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."
 

Pricing and Cost Advice

"Licensing issues are not applicable. Apache licensing makes it simple with almost zero cost for the software itself."
"Apache Kafka is an open-source solution and there are no fees, but there are fees associated with confluence, which are based on subscription."
"Apache Kafka has an open-source pricing."
"When starting to look at a distributed message system, look for a cloud solution first. It is an easier entry point than an on-premises hardware solution."
"It is approximately $600,000 USD."
"We use the free version."
"This is an open-source version."
"Apache Kafka is open-source and can be used free of charge."
"ODI comes included when buying the cloud version of the Oracle database license."
"The solution is very expensive."
"I rate the platform pricing as five out of ten."
"There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."
"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."
"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 license can be costly, but in certain complex cases, ODI proves to be the optimal solution."
"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."
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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
13%
Manufacturing Company
6%
Retailer
5%
Financial Services Firm
16%
Computer Software Company
14%
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?
I would rate the overall cost of using Kafka as a three out of ten, indicating that it is rather affordable, considering the benefits and savings it provides.
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
 

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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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