We performed a comparison between Oracle Data Integrator (ODI) and SSIS based on our users’ reviews in five categories. After reading all of the collected data, you can find our conclusion below.
Comparison Results: Users seem to be more satisfied with SSIS because of its ease of deployment, its features, and its pricing.
"The initial setup is easy."
"ODI significantly improves data integration and management by allowing customization of data types from various sources like SQL Server databases."
"It uses the power of the database system efficiently."
"Integration with all systems is easy with Oracle Data Integrator, and it is easy to use. I have not used any other product, but with Oracle Data Integrator, we can easily connect to an ERP system, an SAP system, or a cloud application."
"The installation of the client ODI Studio is easy."
"I do not have to maintain a separate ETL instance. I can change the SQL when something is not performing correctly."
"ODI's best features are customization, integration with other versioning tools, and the ability to define new knowledge modules."
"The most valuable feature of ODI is the to use of the whole ETL to create a data lake."
"SSIS' most valuable feature is its reporting services."
"It is also easy to learn and user-friendly. Microsoft is also good in terms of technical support. They have built a large community all over the world."
"SSIS integrates well with SQL servers and Microsoft products."
"SSIS is easy to use."
"The most valuable thing is that it is easy to connect with Microsoft tools. In Europe, particularly in France, a lot of companies use Excel, SQL Server, and other Microsoft tools, and it is easier to connect SSIS with Microsoft tools than other products."
"Built in reports show package execution and messages. Logging can also be customized so only what is needed is logged. There is also an excellent logging replacement called BiXpress that provides both historical and real-time monitoring which is more efficient and much more robust than the built-in logging capabilities. And none of this requires custom coding to make it useful unlike many other ETL tools."
"The technical support is very good."
"Data Flows are the main component we use. These can range from a simple source to sink ETL, to many source to many sink dataflows."
"If there was an add-on tool to hide the performance issues and solve them for me, then I might be interested in that as it would provide me value."
"It has been very good. Just recently, I've faced an issue, but I solved it somehow. While integrating with a file, I faced an issue where I wanted output files, and I had used the text field limited quotations, but at the end of the file, there was a line breakage for the last column. So, we just removed the text field because it was not working correctly for us."
"The initial setup is complex, especially if you also have to install a console."
"We used a third party to do the implementation of ODI."
"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."
"The resource management aspect of the solution could be improved."
"At present, when multiple steps are executed in parallel in the load plan and errors occur, the error handling mechanism does not function correctly."
"The interface of ODI could be improved. For example, navigating and finding functions can be difficult. For example, you have to know which step you need to go to look at where your job status is. The logical step is a bit complex compared to other tools. It's much easier to get a graphical view, but with ODI, it's graphical, plus you have to know all the other pieces that fit around it. You have to think about the logical and physical aspects."
"We're in the process of switching to Informatica, and we need to work out data lineage and data profiling and to improve the quality of our data. SSIS, however, is not that compatible with Informatica. We managed to connect it to Informatica Metadata Manager, but we don't get good lineage, so we have to redo all our ETLs using the Informatica process in order to accept the proper data lineage."
"Options for scaling could be improved."
"Involving a data lake or data engineering aspects would be useful. While it is there, we need more features included."
"We've had issues in terms of the amount of data that is transferred when we are scheduling."
"I would like to see more standard components out of the box, such as SFTP, and Data Compression components."
"SSIS is stable, but extensive ETL data processing can have some performance issues."
"It would be nice if you could run SSIS on other environments besides Windows."
"Sometimes, there are compatibility issues with some features. From time to time, I also face issues when trying to migrate. If I misconfigure things when I use Snapshot, the migration will fail.It can take a long time to migrate huge amounts of data, so it would be nice if that could be faster."
Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 68 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. Oracle Data Integrator (ODI) is rated 8.2, while SSIS is rated 7.6. 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". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". Oracle Data Integrator (ODI) is most compared with Oracle Integration Cloud Service, Informatica PowerCenter, Azure Data Factory, Oracle GoldenGate and Talend Open Studio, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, AWS Glue and Azure Data Factory. See our Oracle Data Integrator (ODI) vs. SSIS report.
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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?