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, VMware and others in Message Queue (MQ) Software."I like Kafka's flexibility, stability, reliability, and robustness."
"The most valuable features of the solution revolve around areas like the latency part, where the tool offers very little latency and the sequencing part."
"The most valuable feature is the performance."
"Apache Kafka is actually a distributed commit log. That is different than most messaging and queuing systems before it."
"Kafka is scalable. It can manage a high volume of data from many sources."
"Its availability is brilliant."
"The valuable features are the group community and support."
"The most valuable feature of Apache Kafka is Kafka Connect."
"All our systems can be widely integrated by ODI, such as transactional systems, our data warehouses, and B2B integration."
"The tool improved our data integration workflow primarily due to its compatibility with Oracle. Its integration makes it very convenient for analytics. Its most valuable feature is robust extended capability. The solution's debugging capabilities are good."
"I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly."
"The installation of the client ODI Studio is easy."
"It is an ETL tool, which does the extract, transform, and load."
"One of the standout features of ODI is its ability to prepare everything on a vertical level and create reusable components, which adds to its value."
"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's not possible to substitute IBM MQ with Apache Kafka because the JMS part is not very stable."
"Kafka is a nightmare to administer."
"While the solution scales well and easily, you need to understand your future needs and prep for the peaks."
"Something that could be improved is having an interface to monitor the consuming rate."
"Kafka has a lot of monitors, but sometimes it's most important to just have a simple monitor."
"I would like to see an improvement in authentication management."
"The ability to connect the producers and consumers must be improved."
"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."
"It needs easier security."
"Oracle support services are not up to the mark."
"The performance of the user interface is in need of improvement."
"ODI could improve by being more user-friendly. Informatica, which is also an ETL tool, similar to ODI, but Informatica is very user-friendly, easy to use, and simple to integrate, compared to ODI. ODI has many features, put them all together, and sometimes we get confused about which ones to use, which ones not to use."
"We used a third party to do the implementation of ODI."
"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."
"Stability could be improved because some operators have issues."
"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."
Apache Kafka is ranked 1st in Message Queue (MQ) Software with 78 reviews while Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 68 reviews. Apache Kafka is rated 8.0, while Oracle Data Integrator (ODI) is rated 8.2. The top reviewer of Apache Kafka writes "Real-time processing and reliable for data integrity". 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 IBM Event Streams, whereas Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, Informatica PowerCenter, SSIS, Azure Data Factory and SAP Data Services.
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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 ,
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.
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
We usually use Talend.
Look here: community.talend.com
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.
What is the OLAP that you are using? Hosted in Cloud or on-premise?
The target DB should have its tool to extract data.
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).
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?