We performed a comparison between Pentaho Data Integration and Analytics and SSIS based on real PeerSpot user reviews.
Find out in this report how the two Data Integration solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."We use Lumada’s ability to develop and deploy data pipeline templates once and reuse them. This is very important. When the entire pipeline is automated, we do not have any issues in respect to deployment of code or with code working in one environment but not working in another environment. We have saved a lot of time and effort from that perspective because it is easy to build ETL pipelines."
"The solution offers features for data integration and migration. Pentaho Data Integration and Analytics allows the integration of multiple data sources into one. The product is user-friendly and intuitive to use for almost any business."
"I can create faster instructions than writing with SQL or code. Also, I am able to do some background control of the data process with this tool. Therefore, I use it as an ELT tool. I have a station area where I can work with all the information that I have in my production databases, then I can work with the data that I created."
"The fact that it's a low-code solution is valuable. It's good for more junior people who may not be as experienced with programming."
"Sometimes, it took a whole team about two weeks to get all the data to prepare and present it. After the optimization of the data, it took about one to two hours to do the whole process. Therefore, it has helped a lot when you talk about money, because it doesn't take a whole team to do it, just one person to do one project at a time and run it when you want to run it. So, it has helped a lot on that side."
"Flexible deployment, in any environment, is very important to us. That is the key reason why we ended up with these tools. Because we have a very highly secure environment, we must be able to install it in multiple environments on multiple different servers. The fact that we could use the same tool in all our environments, on-prem and in the cloud, was very important to us."
"It makes it pretty simple to do some fairly complicated things. Both I and some of our other BI developers have made stabs at using, for example, SQL Server Integration Services, and we found them a little bit frustrating compared to Data Integration. So, its ease of use is right up there."
"It has a really friendly user interface, which is its main feature. The process of automating or combining SQL code with some databases and doing the automation is great and really convenient."
"The scalability of SSIS is good."
"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."
"The reporting on the solution is perfect. I didn't expect to see reporting features, but they are great."
"We can connect with multiple data sources easily using an external connector in SSIS."
"The solution is easy to use and developer friendly."
"The most valuables features are the relatively short learning curve, and the automation capabilities provided through the BIML add-in for SSDT."
"SSIS provides you with lookup and transformation functions, and you have the flexibility to write your own custom code."
"The initial setup of this solution is very straightforward."
"Since Hitachi took over, I don't feel that the documentation is as good within the solution. It used to have very good help built right in."
"The support for the Enterprise Edition is okay, but what they have done in the last three or four years is move more and more things to that edition. The result is that they are breaking the Community Edition. That's what our impression is."
"Although it is a low-code solution with a graphical interface, often the error messages that you get are of the type that a developer would be happy with. You get a big stack of red text and Java errors displayed on the screen, and less technical people can get intimidated by that. It can be a bit intimidating to get a wall of red error messages displayed. Other graphical tools that are focused at the power user level provide a much more user-friendly experience in dealing with your exceptions and guiding the user into where they've made the mistake."
"Parallel execution could be better in Pentaho. It's very simple but I don't think it works well."
"I'm still in the very recent stage concerning Pentaho Data Integration, but it can't really handle what I describe as "extreme data processing" i.e. when there is a huge amount of data to process. That is one area where Pentaho is still lacking."
"The product needs more plugins."
"I could not connect to our Hadoop environment in an easy and flexible way, and it was important to scale our data warehouse."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"The debugging could be improved because when it came to solving the errors that I've experienced in the past, I've had to look at the documentation for more information."
"In terms of its performance, it could be better. That could be something that would be easy and welcomed as an upgrade."
"Involving a data lake or data engineering aspects would be useful. While it is there, we need more features included."
"This solution needs full support for real-time processing."
"I would like to see more features in terms of the integration with Azure Data Factory."
"It hangs a lot of the time."
"Video training would be a helpful addition."
"There is connectivity with other databases, however, this is the most significant issue that has to be addressed."
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Pentaho Data Integration and Analytics is ranked 15th in Data Integration with 49 reviews while SSIS is ranked 2nd in Data Integration with 69 reviews. Pentaho Data Integration and Analytics is rated 8.0, while SSIS is rated 7.6. The top reviewer of Pentaho Data Integration and Analytics writes "It's flexible and can do almost anything I want it to do". On the other hand, the top reviewer of SSIS writes "Maintaining the solution and contacting its support team is easy". Pentaho Data Integration and Analytics is most compared with Azure Data Factory, Oracle Data Integrator (ODI), Talend Open Studio, AWS Glue and Oracle GoldenGate, whereas SSIS is most compared with Informatica PowerCenter, Talend Open Studio, IBM InfoSphere DataStage, Oracle Data Integrator (ODI) and AWS Glue. See our Pentaho Data Integration and Analytics 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?