We performed a comparison between Pentaho Data Integration and Analytics and Talend Data Management Platform 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.
"The abstraction is quite good."
"It's very simple compared to other products out there."
"Pentaho Data Integration is quite simple to learn, and there is a lot of information available online."
"One of the valuable features is the ability to use PL/SQL statements inside the data transformations and jobs."
"We also haven't had to create any custom Java code. Almost everywhere it's SQL, so it's done in the pipeline and the configuration. That means you can offload the work to people who, while they are not less experienced, are less technical when it comes to logic."
"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."
"One of the most valuable features is the ability to create many API integrations. I'm always working with advertising agents and using Facebook and Instagram to do campaigns. We use Pentaho to get the results from these campaigns and to create dashboards to analyze the results."
"The fact that it enables us to leverage metadata to automate data pipeline templates and reuse them is definitely one of the features that we like the best. The metadata injection is helpful because it reduces the need to create and maintain additional ETLs. If we didn't have that feature, we would have lots of duplicated ETLs that we would have to create and maintain. The data pipeline templates have definitely been helpful when looking at productivity and costs."
"The most valuable feature is integration."
"The availability of connectors is great."
"I like the way that you can use the context variables, and how you can work those context variables to give you values and settings for every development environment, such as PROD, TEST, and DEV."
"I think Talend is one of the easiest tools for faster implementation compared to other tools."
"The features that I like the most are the simplicity of the interface, and the ability to quickly develop with a predefined component."
"The solution is very user-friendly and easy to understand."
"Talend Studio has the ability to connect to almost anything to integrate data from files, databases, web services, etc."
"The most valuable feature is the data loading and scripting language"
"If you develop it on MacBook, it'll be quite a hassle."
"There is not a data quality or MDM solution in the Pentaho DI suite."
"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."
"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."
"I work with the Community Edition, therefore I do not have support. There was an issue that I could not resolve with community support."
"The performance could be improved. If they could have analytics perform well on large volumes, that would be a big deal for our products."
"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."
"In the Community edition, it would be nice to have more modules that allow you to code directly within the application. It could have R or Python completely integrated into it, but this could also be because I'm using an older version."
"They lack in memory capacity."
"I've had some issues with bugs causing crashes, especially when making changes to the system or with the monthly upgrades to Studio they've introduced."
"I'd be interested in seeing the running of Python programs and transformations from within the studio itself."
"Performance and speed could be improved."
"The product must enhance the data quality."
"Once you get past the basic tools, it gets pretty complicated."
"I would like to sync a project and do an upload from that current version, and then from GitLab, be able to download the latest one."
"The documentation from version to version could be more accurate."
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Pentaho Data Integration and Analytics is ranked 16th in Data Integration with 48 reviews while Talend Data Management Platform is ranked 22nd in Data Integration with 17 reviews. Pentaho Data Integration and Analytics is rated 8.0, while Talend Data Management Platform is rated 8.4. 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 Talend Data Management Platform writes "Built for everything and packed with features but there are some monitoring limitations". Pentaho Data Integration and Analytics is most compared with Azure Data Factory, SSIS, Talend Open Studio, Oracle Data Integrator (ODI) and AWS Glue, whereas Talend Data Management Platform is most compared with Talend Open Studio, Talend Data Fabric, SAP Data Services, Collibra Catalog and SSIS. See our Pentaho Data Integration and Analytics vs. Talend Data Management Platform 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?