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."The most valuable feature is the messaging function and reliability."
"Apache Kafka is an open-source solution that can be used for messaging or event processing."
"Scalability is very good."
"One of the most valuable features I have found is Kafka Connect."
"Apache Kafka has good integration capabilities and has plenty of adapters in its ecosystem if you want to build something. There are adapters for many platforms, such as Java, Azure, and Microsoft's ecosystem. Other solutions, such as Pulsar have fewer adapters available."
"It eases our current data flow and framework."
"The most valuable feature of Apache Kafka is its versatility. It can solve many use cases or can be a part of many use cases. Its fundamental value of it is in the real-time processing capability."
"A great streaming platform."
"The initial setup is easy."
"I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly."
"In our DW/BI solution, ODI is the main tool to integrate the data in a daily batch way."
"It is an ETL tool, which does the extract, transform, and load."
"The CAEM is very useful in its modularity and portability."
"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."
"The scalability is great. It's one of the reasons we chose the solution."
"I like that Oracle Data Integrator (ODI) has a straightforward setup and offers good technical support."
"Prioritization of messages in Apache Kafka could improve."
"I suggest using cloud services because the solution is expensive if you are using it on-premises."
"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."
"Too much dependency on the zookeeper and leader selection is still the bottleneck for Kafka implementation."
"As an open-source project, Kafka is still fairly young and has not yet built out the stability and features that other open-source projects have acquired over the many years. If done correctly, Kafka can also take over the stream-processing space that technologies such as Apache Storm cover."
"Kafka has a lot of monitors, but sometimes it's most important to just have a simple monitor."
"I would like to see monitoring service tools."
"would like to see real-time event-based consumption of messages rather than the traditional way through a loop. The traditional messaging system works by listing and looping with a small wait to check to see what the messages are. A push system is where you have something that is ready to receive a message and when the message comes in and hits the partition, it goes straight to the consumer versus the consumer having to pull. I believe this consumer approach is something they are working on and may come in an upcoming release. However, that is message consumption versus message listening."
"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."
"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."
"It needs easier security."
"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."
"At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly."
"Technical Support could be better."
"The tool should improve its pricing. It prevents the application of Oracle ODI on small and medium projects in countries like Croatia, Germany, or the US. While there are no technological obstacles to using it, the high price makes it unfeasible for projects with smaller budgets."
"ODI could improve by focusing on streamlining its features without unnecessary overhead."
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 Matillion ETL.
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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?