Apache Kafka vs Oracle Data Integrator (ODI) comparison

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Executive Summary

We performed a comparison between Apache Kafka and Oracle Data Integrator (ODI) based on real PeerSpot user reviews.

Find out what your peers are saying about Apache, IBM, Amazon Web Services (AWS) and others in Message Queue (MQ) Software.
To learn more, read our detailed Message Queue (MQ) Software Report (Updated: April 2024).
768,740 professionals have used our research since 2012.
Q&A Highlights
Question: Which ETL tool would you recommend to populate data from OLTP to OLAP?
Answer: We have experiences only in Pentaho Data Integrator (open source competitor of the Oracle Data Integrator). But OLAP exporting wasn't in our scope until now.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Kafka allows you to handle huge amounts of data and classify it into different categories. If you have huge amounts of data, Kafka is a very good solution for data classification.""The high availability is valuable. It is robust, and we can rely on it for a huge amount of data.""valuable features relate to microservices architecture and working on KStream and KSQL DB as a microservices event bus.""The processing power of Apache Kafka is good when you have requirements for high throughput and a large number of consumers.""The ability to partition data on Kafka is valuable.""It's an open-source product, which means it doesn't cost us anything to use it.""Kafka is an open-source tool that's easy to use in our country, and the command line interface is powerful.""It is the performance that is really meaningful."

More Apache Kafka Pros →

"The scalability is great. It's one of the reasons we chose the solution.""The most valuable feature is Data movement.""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.""The product has an ELT approach.""The Knowledge Module approach provides an easy and reusable way to create our own integration strategies. It's easy to create these Knowledge Modules to connect to new technologies, for instance.""The most valuable feature that we use is the Knowledge Modules.""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."

More Oracle Data Integrator (ODI) Pros →

Cons
"I would like to see monitoring service tools.""If the graphical user interface was easier for the Kafka administration it would be much better. Right now, you need to use the program with the command-line interface. If the graphical user interface was easier, it could be a better product.""More adapters for connecting to different systems need to be available.""Kafka 2.0 has been released for over a month, and I wanted to try out the new features. However, the configuration is a little bit complicated: Kafka Broker, Kafka Manager, ZooKeeper Servers, etc.""An area for improvement would be growth.""The ability to connect the producers and consumers must be improved.""Data pulling and restart ability need improving.""There have been some challenges with monitoring Apache Kafka, as there are currently only a few production-grade solutions available, which are all under enterprise license and therefore not easily accessible. The speaker has not had access to any of these solutions and has instead relied on tools, such as Dynatrace, which do not provide sufficient insight into the Apache Kafka system. While there are other tools available, they do not offer the same level of real-time data as enterprise solutions."

More Apache Kafka Cons →

"It needs easier security.""At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly.""It would be really good if Oracle considered enabling the tool to integrate with some other platforms that are deprecated simply for commercial reasons""I would only point out some minor bugs or glitches in the development interface (ODI studio).""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.""ODI could improve by focusing on streamlining its features without unnecessary overhead.""Oracle Data Integrator (ODI) is already good as a solution. Still, it needs some editing of its preview package, or if the package is upgraded, that will make Oracle Data Integrator (ODI) even better."

More Oracle Data Integrator (ODI) Cons →

Pricing and Cost Advice
  • "I would not subscribe to the Confluent platform, but rather stay on the free open source version. The extra cost wasn't justified."
  • "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 open source software."
  • "Licensing issues are not applicable. Apache licensing makes it simple with almost zero cost for the software itself."
  • "Apache Kafka is open-source and can be used free of charge."
  • "Kafka is open-source and it is cheaper than any other product."
  • "Kafka is more reasonably priced than IBM MQ."
  • "The solution is open source; it's free to use."
  • More Apache Kafka Pricing and Cost Advice →

  • "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."
  • "We found that the cost compared to other integration tools is a little high, but the solution works great."
  • "The solution is expensive because of the model they use. The cost is for the license and for support."
  • "ODI comes included when buying the cloud version of the Oracle database license."
  • "There is a standard license to use the solution but there are other costs in addition, such as hardware and operating system."
  • "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."
  • "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."
  • More Oracle Data Integrator (ODI) Pricing and Cost Advice →

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    Comparison Review
    Anonymous User
    Answers from the Community
    RajneeshShukla
    AThiré - PeerSpot reviewerAThiré
    User

    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 tools
    * ERWIN has a nice one ,

    Phil Wilkins - PeerSpot reviewerPhil Wilkins (Capgemini)
    Consultant

    Depends upon the technologies being used. If you're using Oracle for both OLTP and OLAP then you'll get a lot of value from an Oracle solution.


    The other question is how up to date do you want your OLAP DB to be? Goldengate is a good answer if you're looking to minimize latency, but it can be expensive. ODI is less expensive but better suited to bulkier data sets.  If an Oracle product wasn't the option I'd probably consider something like Informatica.

    Karoly Krokovay - PeerSpot reviewerKaroly Krokovay
    Real User

    Hi Rajneesh,
    yes here is the feature comparison between the community and enterprise edition : www.hitachivantara.com

    And a short description of the community edition: www.predictiveanalyticstoday.com

    And the download link: community.hitachivantara.com

    You can ask more from the great community: forums.pentaho.com

    Regards
    Károly

    Stefan Schäfer - PeerSpot reviewerStefan Schäfer
    User

    We usually use Talend.
    Look here: community.talend.com

    GaryM - PeerSpot reviewerGaryM
    Real User

    As someone mentioned, if you're purely Oracle shop and staying that way then there's value with prioritizing Oracle tools.  However, let me contrast that with this caveat...


    Consider expectations for tool and vendor longevity. Oracle has a long history of retiring and/or replacing tools leaving customers in the cold with prior versions/tools (I've been burned multiple times by Oracle product retirements or replacements including OWB, Oracle Designer2k, Oracle Express, Oracle OEDW, their purchase of Sagent ETL which as later abandoned).


    But I would also consider these questions and relative prioritization:  


    What is your organization's plans for moving to other database technologies?  


    Where is your org going with on-prem versus cloud solutions?  How important are PaaS versus IaaS solutions?  


    Where is your current staff's expertise?  


    Prioritize mature over immature tools. 


    How many sources do you have?  What are their technologies and does the integration tool support them?


    Is it just moving data from a single ERP such as Oracle EBS to Olap? When you say Olap what do you mean by that?  Are you talking Oracle Olap product or something else?  That makes a really big difference of course - if your ETL tool doesn't support your source(s) and target(s) then it shouldn't be considered.


    Given the industry's trajectory, I myself would highly prioritize PaaS solutions over others.

    Yeap Jiun Aing - PeerSpot reviewerYeap Jiun Aing
    Real User

    What is the OLAP that you are using? Hosted in Cloud or on-premise? 


    The target DB should have its tool to extract data.

    Efe Dagistanli - PeerSpot reviewerEfe Dagistanli
    User

    Pentaho is a really nice tool if opensource is the only option. 


    Please think about issues such as upgrade and disaster in the future. These operations are very easy in Pentaho.


    I can only suggest one thing for replication and that is Qlik. (ex-Attunity).

    RajneeshShukla - PeerSpot reviewerRajneeshShukla
    Real User

    Hi Karoly, Thanks for your input. community: forums.pentaho.com is not allowing new registrations for new users. I guess they accept queries from customers only and not from any one. Do you know any other forum, community, SMEs contacts who can help on queries?

    Questions from the Community
    Top Answer: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 users… more »
    Top Answer:Apache Kafka is an open-source solution that can be used for messaging or event processing.
    Top Answer: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 come… more »
    Ranking
    Views
    15,120
    Comparisons
    11,556
    Reviews
    34
    Average Words per Review
    530
    Rating
    8.0
    4th
    out of 100 in Data Integration
    Views
    15,558
    Comparisons
    8,845
    Reviews
    16
    Average Words per Review
    429
    Rating
    8.2
    Comparisons
    Also Known As
    ODI
    Learn More
    Overview

    Apache Kafka is a highly regarded open-source, distributed event streaming platform and Message Queue (MQ) software solution that is valued and trusted worldwide by many of the top fortune 100 companies. It is considered one of the most reliable Message Queue (MQ) software solutions available in the marketplace today.

    Enterprise organizations rely on streaming platforms and MQ software solutions to process the continuous flow of high-performance data pipelines, mission-critical applications, and data integration. Apache Kafka makes it easy to process and distribute messages from one application to another from multiple environments with super-fast speeds and very high reliability.

    Additionally, in place of the usual command line processes regarding administration and management tasks, Apache Kafka supplies five exemplary core APIs for both Scala and Java:

    • Kafka Streams API can be used to facilitate stream processing applications and microservices. Input is seamlessly read from one or more topics and will initiate output to one or more topics, easily converting the input streams to output streams.
    • Kafka Connect API enables users to develop and run reusable data import/export connectors that are able to read and write streams of events from external operating systems and applications, making integration with Apache Kafka simple and streamlined.
    • Consumer API allows users to subscribe and read one or more topics and to process the stream of events produced to them.
    • Admin API gives users the ability to examine and manage brokers, topics, and various other Kafka topics.
    • Producer API using this core element, users are able to write and publish a stream of events to one or more Kafka topics.

    Apache Kafka Benefits

    Apache Kafka has many valuable benefits. Some of its most valuable benefits include:

    • Load Shifting
    • Scalability
    • Decoupling
    • High Throughput
    • High Availability
    • Safe Permanent Storage
    • Excellent Integration Capabilities
    • Large, Reliable, Open-Source Community
    • Mission Critical
    • Wide Array of Available Learning Opportunities

    Not only is Apache Kafka a robust messaging queue it is also a tremendously durable and reliable streaming platform that is fully capable of securely delivering more than one million messages per second, which amounts to trillions of success delivered messages in one day.

    Reviews from Real Users

    “From my experience with Apache Kafka, one of the most notable advantages is its ability to maintain a comprehensive record of historical data that includes every update, alteration, and version of information, unlike a conventional relational database. This feature allows for seamless tracking and analysis of the progression and transformation of the data over time, enabling users to easily review and analyze the history of the information.” Dimitrios Z., Enterprise Architect at Smals vzw

    “We are currently on a legacy version and have found that the latest version of Kafka has solved many of the issues we were facing, such as sequencing, memory management, and more. Additionally, the fact that it is open source is a major benefit.” Pratul S. Software Engineer at a financial services firm

    “The solution has improved our functionality; it's one of the best streaming platforms I've used.” Sreekar N., Co-Founder at Attaika

    Oracle Data Integrator (ODI) is a data integration software solution that provides a unified infrastructure to streamline data and application integration projects. It uses a powerful design approach to data integration, which separates the declarative rules from the implementation details. The solution is based on a unique ELT (Extract Load Transform) architecture, eliminating the need for a standalone ETL server and proprietary engine. 

    Oracle Data Integrator Features

    ODI has many valuable key features. Some of the most useful ones include:

    • Automatic documentation generation
    • Visualization of data flows in the interfaces
    • Customization of generated code
    • Automatic reverse-engineering of existing applications or databases
    • Graphical development and maintenance of transformation and integration interfaces
    • Robust data integrity control features, assuring the consistency and correctness of data
    • Powerful core differentiators
    • Heterogeneous ELT, declarative design and knowledge modules
    • Flexibility and modularity
    • Oracle Data Integrator repository
    • Topology navigator
    • Operator Navigator
    • Security Navigator
    • Integrator Console
    • ODI domains

    Oracle Data Integrator Benefits

    There are many benefits to implementing ODI. Some of the biggest advantages the solution offers include:

    • Efficient architecture: Oracle Data Integrator has a simple architecture that utilizes the source and target servers to perform complex transformations, making it an efficient solution.
    • Supports all platforms: ODI gives you platform independence by supporting all platforms, hardware, and OSes with the same software.
    • Cost-effective: Oracle Data Integrator reduces costs associated with initial hardware and software acquisition, and also decreases maintenance costs because it eliminates the need for an ETL Server and an ETL engine.
    • Automatic detection of faulty data: By using ODI, faulty data is recycled before insertion in the target application, providing you with a data quality firewall.
    • Easy development and maintenance: With a low learning curve, Oracle Data Integrator increases developer productivity while facilitating ongoing maintenance. 
    • Active integration: ODI includes all styles of data integration: data-based, event-based and service-based.

    Reviews from Real Users

    Below are some reviews and helpful feedback written by PeerSpot users currently using the Oracle Data Integrator (ODI) solution.

    Brian D., Business Process and Strategy Specialist Advisor at NTTData, says, “The Knowledge Module (KM) is my favorite feature of ODI. This is where I learned how to use variables to make jobs dynamic. I took that knowledge and created a KM that would go into iTunes and pull the sales of eBooks. Making something that is reusable, like a KM, is important to not only reduce build time but also maintenance in the future.”

    Ashok S., Applications Support Manager at a marketing services firm, mentions, "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."

    Sample Customers
    Uber, Netflix, Activision, Spotify, Slack, Pinterest
    Griffith University, Kansas City Power & Light, Keste, Raymond James Financial, Valdosta State University
    Top Industries
    REVIEWERS
    Financial Services Firm26%
    Computer Software Company18%
    Retailer16%
    Media Company8%
    VISITORS READING REVIEWS
    Financial Services Firm29%
    Computer Software Company13%
    Manufacturing Company6%
    Retailer6%
    REVIEWERS
    Financial Services Firm24%
    Comms Service Provider11%
    Computer Software Company8%
    Government5%
    VISITORS READING REVIEWS
    Financial Services Firm16%
    Computer Software Company14%
    Government8%
    Manufacturing Company8%
    Company Size
    REVIEWERS
    Small Business35%
    Midsize Enterprise16%
    Large Enterprise49%
    VISITORS READING REVIEWS
    Small Business16%
    Midsize Enterprise10%
    Large Enterprise73%
    REVIEWERS
    Small Business32%
    Midsize Enterprise16%
    Large Enterprise52%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise12%
    Large Enterprise72%
    Buyer's Guide
    Message Queue (MQ) Software
    April 2024
    Find out what your peers are saying about Apache, IBM, Amazon Web Services (AWS) and others in Message Queue (MQ) Software. Updated: April 2024.
    768,740 professionals have used our research since 2012.

    Apache Kafka is ranked 1st in Message Queue (MQ) Software with 76 reviews while Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 67 reviews. Apache Kafka is rated 8.0, while Oracle Data Integrator (ODI) is rated 8.2. The top reviewer of Apache Kafka writes "Great access to multiple devices, with stability, at an affordable price". On the other hand, the top reviewer of Oracle Data Integrator (ODI) writes "Straightforward to implement, scalable, and has good stability and documentation, but technical support could still be improved". Apache Kafka is most compared with IBM MQ, Amazon SQS, Red Hat AMQ, Anypoint MQ and Memphis, whereas Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, SSIS, Informatica PowerCenter, Azure Data Factory and Palantir Foundry.

    We monitor all Message Queue (MQ) Software reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.