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 CAEM is very useful in its modularity and portability."
"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."
"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."
"The most valuable feature of ODI is the to use of the whole ETL to create a data lake."
"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."
"All our systems can be widely integrated by ODI, such as transactional systems, our data warehouses, and B2B integration."
"It is an ETL tool, which does the extract, transform, and load."
"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 performance is better than doing it in some alternative ways. We don't have to worry about so much manual work."
"The performance is good."
"The most valuable feature of SSIS is that it can handle real complex transformations."
"The solution is stable."
"There are many good features in this solution including the data fields, database integration, support for SQL views, and the lookups for matching information."
"It's something I needed for bulk imports. I'm not a big fan of it, but I haven't seen anything better."
"You can get data from any data source with SSIS and dump it to any outside source. It is helpful. Getting, extracting, converting, and dumping data doesn't require much effort because we can do everything in the user interface. You drag and drop, then give the required input. It's intuitive."
"I have used most of the standard SQL features, but the ones that stand out are the Data Flows and Bulk Import."
"ODI could improve the ease of use. There is a steep learning curve to use the solution."
"We used a third party to do the implementation of ODI."
"The initial setup is a bit complex compared to other tools."
"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."
"There are certain things where it can be improved. Initial solution setup seems a bit complex at the start, it should be improved because it becomes bit tough for a novice to get started on this. Sometimes error description is not helpful to understand the problem it gives some generic type of errors which are at times not that helpful to understand the underlying root cause of the issue."
"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."
"An area for improvement would be the lack of SQL compatibility - ODI has no ability to interact with SQL unstructured types and data types."
"ODI could improve by focusing on streamlining its features without unnecessary overhead."
"Improvement as per customer requirements."
"The interface could use improvement, as well as the administrative tools. Jobs fail from time to time for different reasons. It's not a problem with Microsoft, or SSIS itself. The problems are external, but to find the problems and analyze them it takes too much time."
"There is connectivity with other databases, however, this is the most significant issue that has to be addressed."
"SSIS is stable, but extensive ETL data processing can have some performance issues."
"I would also like to see full integration with our BI because then our full load of data will be available in our organization. They should incorporate an ATL process."
"Future releases should improve the data lineage, as it currently is not good."
"The creation of the measure in the DAC's model could be improved."
"The solution could improve on integrating with other types of data sources."
Oracle Data Integrator (ODI) is ranked 4th in Data Integration with 67 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?