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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:
 

ROI

Sentiment score
7.3
Apache Kafka offers quick ROI with cost savings, valuable insights, and ease of use despite configuration challenges.
Sentiment score
7.6
Oracle Data Integrator provides high ROI, reducing custom ETL efforts and costs, with Cloud version enhancing implementation and efficiency.
 

Customer Service

Sentiment score
5.8
Apache Kafka support varies between community forums, paid services, self-support, with satisfaction depending on service type and user experiences.
Sentiment score
5.9
ODI support gets mixed reviews; quick solo responses but struggles in multi-product setups, often leading users to forums.
The Apache community provides support for the open-source version.
I can get solutions quickly, and any tickets I submit to Oracle are responded to and resolved rapidly.
 

Scalability Issues

Sentiment score
7.8
Apache Kafka offers high scalability and seamless integration, managing large data volumes efficiently across industries, even with some manual management.
Sentiment score
7.6
Oracle Data Integrator scales well, integrating with WebLogic, while configuration and setup impact its performance in various environments.
Customers have not faced issues with user growth or data streaming needs.
 

Stability Issues

Sentiment score
7.7
Apache Kafka is generally stable, with ratings of 7-9, though evolving APIs and configuration challenges can affect performance.
Sentiment score
7.3
Oracle Data Integrator is stable and efficient, with minor configuration challenges resolved in newer versions like 12.1.3 and 12cR2.
 

Room For Improvement

Apache Kafka needs UI, integration, deployment, monitoring, performance, and documentation improvements, plus simpler authentication and stability enhancements.
ODI users seek improved performance, usability, integration, and cost-efficiency, with better error handling, authentication, and automation features.
The performance angle is critical, and while it works in milliseconds, the goal is to move towards microseconds.
We are always trying to find the best configs, which is a challenge.
If I use a source system like Oracle and a target system like Teradata, ODI will still run, but it struggles a bit with different infrastructures.
 

Setup Cost

Apache Kafka is cost-effective but managed services and on-premises enterprise versions can incur significant costs.
Oracle Data Integrator has complex, costly pricing with various licensing options; discounts and packages can reduce expenses for enterprises.
The open-source version of Apache Kafka results in minimal costs, mainly linked to accessing documentation and limited support.
ODI is cheaper compared to Informatica PowerCenter and IBM DataStage.
 

Valuable Features

Apache Kafka excels in scalability, reliability, and integration, offering robust analytics, data processing, and event-driven operations support.
Oracle Data Integrator features flexible, customizable integration with diverse technologies, enhancing performance and efficiency in data integration tasks.
It allows the use of data in motion, allowing data to propagate from one source to another while it is in motion.
Oracle Data Integrator (ODI) is powerful and strong if my system uses Oracle components for environments like OLTP, enterprise data warehouse, or data marts.
 

Categories and Ranking

Apache Kafka
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
86
Ranking in other categories
Streaming Analytics (8th)
Oracle Data Integrator (ODI)
Average Rating
8.2
Reviews Sentiment
6.8
Number of Reviews
71
Ranking in other categories
Data Integration (7th)
 

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 2.4%, up 2.0% compared to last year.
Oracle Data Integrator (ODI), on the other hand, focuses on Data Integration, holds 4.6% mindshare, up 4.4% 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.
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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
7%
Retailer
5%
Financial Services Firm
17%
Computer Software Company
12%
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
 

Overview

 

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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