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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
7.0
Apache Kafka offers substantial returns, especially in high-value applications, with enhanced data buffering, cost savings, and ease of use.
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's support is community-driven, with varying user experiences and enhanced options available through paid subscriptions and consultants.
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.
There is plenty of community support available online.
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 is praised for its robust scalability, efficiently handling high data throughput, with some challenges in cluster 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 stable and performs well with high data volumes, though some configurations may affect its reliability.
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.
Partitioning helps us distribute all the messages that we receive between all partitions, which helps us to be stable.
Apache Kafka is stable.
 

Room For Improvement

Enhancing Kafka involves user-friendly UI, improved monitoring, reduced ZooKeeper dependency, better documentation, flexibility, and integration with other platforms.
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.
I would appreciate having some kind of UI integrated into Apache Kafka for connecting to it because using code to connect it is basic, but we can use a UI.
A more user-friendly interface and better management consoles with improved documentation could be beneficial.
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 free to use, but costs vary for managed services and enterprise solutions, potentially exceeding 100,000 euros annually.
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.
Its pricing is reasonable.
ODI is cheaper compared to Informatica PowerCenter and IBM DataStage.
 

Valuable Features

Apache Kafka excels in scalability, real-time streaming, and flexibility, ideal for large data volumes and event-driven architectures.
Oracle Data Integrator features flexible, customizable integration with diverse technologies, enhancing performance and efficiency in data integration tasks.
Apache Kafka is effective when dealing with large volumes of data flowing at high speeds, requiring real-time processing.
The impact of Apache Kafka's scalability features on my organization and data processing capabilities depends on how many messages each company wants to receive.
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
6.9
Number of Reviews
88
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 3.0%, up 1.9% compared to last year.
Oracle Data Integrator (ODI), on the other hand, focuses on Data Integration, holds 4.5% mindshare, up 4.3% 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…
Jozsef Gazsik - PeerSpot reviewer
Offers a very good development environment and supports the use of multiple programming languages
We are using a graphical tool called PowerDesigner to create logical and physical models. From that, we create code that can be run by Oracle Data Integrator, which then maps the data based on these models and sends it to its destination. It is currently very integrated with Oracle The Oracle…
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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
29%
Computer Software Company
12%
Manufacturing Company
7%
Retailer
6%
Financial Services Firm
18%
Computer Software Company
11%
Government
10%
Manufacturing Company
7%
 

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?
Its pricing is reasonable. It's not always about cost, but about meeting specific needs.
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)?
If I use the whole Oracle system, it can be cost-effective. ODI is cheaper compared to Informatica PowerCenter ( /products/informatica-powercenter-reviews ) and IBM DataStage. However, for tools li...
 

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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