Pentaho Data Integration and Analytics Reviews

First of all, the ease of deployment. I’m pretty sure that almost anyone could do simple transformations without having any knowledge of  IT. Thanks to its graphical interface this tool is just drag and click. Another advantage, is that it fits everywhere. You can connect it to Big Data sources, relational databases, and all types of files. If the developer missed something, you can try finding it in the marketplace or quickly develop it yourself, because it is opensource. 

We use it almost everywhere, for creating data marts, data warehouses, and implementing BI reporting tools. We also build our Customer Centralized File and Data Quality Studio using it. What’s more, we use it for small solutions too, i.e. if we want to quickly export data from database to .xlsx. We also develop our own plugins for PDI and put them into the marketplace. 

A big advantage, but also a problem, is that it is open source. Almost anyone can develop their own Pentaho code and release it. Now, Pentaho is a little messy, and some parts of it are super new and some look like it were developed at the beging. I think that developers should stop inventing new parts of it, and it can take a while to clean the code and optimize the older parts of it. Some old plugins, after a long time, still doesn’t work properly enough.

I've been using it for four years, and when I started using it I was in college. I quickly found that PDI with my text search analytic plug-in is useful for preparing notes for classes. When I was bored I came up with a funny tool. It was collecting data from all my roommates about what they need from shop and it was sending notifications to peoples phones who were going to the shop.

We have never had any problems with deployment.

There are some with stability. As I said before there are some small bugs but it’s Pentaho you can always find workaround for it.

With the Pentaho Community version you just download it, unpack, and it should be running. If not you should also install Java. 

Customer service isn’t needed. Every problem solution is on the internet. If not,  you can post it to community forum and you will get an immediate answer, but I have never had to post a new topic.

Straightforward. You just need to unzip file and you can already run it. There is also some setup if you need. It’s very simple you just need to edit three files in notepad. 

I did this myself and we do it for other companies. All installations are easy, and you do not need to be an IT magician. 

There is a Community Edition which is free. There is also an Enterprise licence but the price varies depending on the server hardware configuration and the purpose of use (BigData, Hadoop, etc.).

I had the chance to test SAS Data Integration but I didn’t fall in love with it like I did with PDI. I think that PDI is easier to use and you can do much more with PDI than with SAS.

The tool is excellent, and almost everyone can use it. You just need to take it out of the box and run. There is no limit to the application – you can do everything with it. However, it still has a lot of faults. Not every component runs as you wish to. Always look for solutions on the Internet. There are many problems and build transformations/jobs that are already fixed. 

• Best in performance in both hosted and local environments
• Best open source warehouse solution using the Kimball method
• Best Big Data discovery components and BI
• Simple and easy to understand and work with
• Complete cost effective solutions
• Best support in forums
• Best visualizations in the market - Protovis & D3
• Best custom interactivity features
• Best product for embedded BI
• Best for mobile responsive technology integrated, i.e. bootstrap
• Best support in forums
• Best documentation - Open API's

• It's reduced our costs
• With self-service we can save time
• Open plug-ins contributors

• Searching repository for reports or dashboards
• Repository UI
• Loading of percentage reports and dashboards

It has a fancy look, the best visualization libraries and is open source. You can get ETL, reporting, analysis, and analytics in a single shop.  Small, mid sized and enterprises such as CA have been implementing Pentaho. 

• Fast
• Easy to learn and then teach to our team
• It integrates with everything on market

We never used a data integration or BI platform before, and struggled with lots of Excel spreadsheets and CSV files. So when we first used Pentaho to automate a data-integration flow, we were stunned with how fast and how easy it was. We are very productive today thanks to that piece of software integration our data and the platform serving the processed data to our users.

An easier upgrade process for community tools would be nice. They also need to update the ad-hoc reports tool, as the one available is outdated. To get round this, we are using Excel as the output for some reports.

For more then 4 year

Upgrading the bi-platform that is a little pain, but the rest is easy to use and to set-up.

There have been no issues with the stability.

There have been no issues with the scalability.

We use only the community edition, so we only consult the internet for help. There is a strong community of users all over the world. Here in Brazil, the e-mail list is very helpful.

We have performed a lot of setups since we started using Pentaho, and there have been no issues there.

I would say that user-defined class operator is currently very valuable to me. Other than that native connectivity to hadoop (MapR), analytical databases and enterprise systems are really important to me these days.

I am a researcher in the field of data integration, and I am using this tool as a sandbox. I would say, because it is open source and high availability of forums and support has made my work really easy. Also, the reporting and analysis functionality provided gives me more freedom to test my test cases and results.

I would like to have more languages/scripts supported in user-defined classes. Right now the options are very limited. I know, if I want to do core programming I can always import my classes/jars into it, but it would be really nice to have more functionality in terms of programming language and support in UD classes/operator. Besides that, different parallel algorithms/skeletons would be great. For example, it could suggest which parallel algorithm I should use on a particular operator or a set of operators. It would be really cool to have such a functionality.

 If you are looking to integrate unstructured or semi-structured datasets with some parallelization, choose this tool. Parallelization supported by Pentaho Data Integration is a functionality that is really nice to have . You can choose which activities you want to parallelize and that's it. You do not have to write parallel code or something, as it does this job for you, which is awesome for a not so good programmer such as myself.

Its ability of blending data and the dashboarding with C*TOOLS for creating responsive single page apps.

We have been able to expose data services through the use of CDA relying on the same database as the reporting tools, thus avoiding inconsistencies among the data shown by reports and data acquired by external systems.

The User Console, aka workspace, and the development of dashboards. They work but they require some programmer skills. This means a continous application management on behalf of IT dept.

I've used it for six years.

There were issues, but they were solved with help from tech support.

There were issues, but they were solved with help from tech support.

There were issues, but they were solved with help from tech support.

It depends, as it takes usually a long time, and some answers are just a way to acquire time and the commitment seems poor. However, when you finally get to an engineer your are likely to have your problem solved in a few days.

We used Microstrategy, Cognos, and Business Objects. The pricing was the key driver, but also the open source licensing which made us think we would have been able to develop on our own improvements. This didn't happen because primarily of the few resources we effectively put on development.

It's complex because of the lack of documentation and the absence of an installer for Linux.

We did it in-house one, and we had to hire some developers for some months with Java skills.

Have a vision, and do not let yourself be guided by the technology.

It allows for very quick development due to the intuitive interface. Compared to other ETL tools like Powercenter, SSIS and SAS DI Studio it excels in rapid development cycles.

It gave ‘out-of-the-box’ widgets for reading XML and JSON interfaces which would otherwise have to be build from scratch.

PDI excels at the development part. Administration and monitoring are pretty weak and basic. But, I must say I have been spoiled with the great capabilities that Powercenter offers ‘out-of-the-box’ The Pentaho development team seems to rely very heavily on Linux/Unix for the admin part. Debugging could be enhanced with better feed-back.

We used PDI 4.3 in a pilot against SSIS during 2013 for a couple of months. In 2014 I have the 4.4 version on a daily basis within a production environment for exactly one year. We also looked into the commercial front-end solution and found this to be too much of a collection of loosely connected applications

There have been no deployment issues.

Stability is a bit of an issue. The GUI quite often ‘freezes’ and the is no alternative to killing the session. Very frequent saving is in order

There have been no issues with scalability.

The community site is pretty brilliant. Every technical component is handled on its own Wiki page. You can even look into the scrum backlog of the dev. team. Absolutely amazing.

Heavy ETL solutions were simply too expensive and the SSIS alternative is simply too hidious to consider. It took at least three times as much time to develop the same ETL proces with SSIS as compared to Pentaho. (And having to deal with the abject Microsoft ‘debugging’.

Incredibily easy. Just unpack, make sure you got the right drivers installed, and beware of other Java applications running.

We simply did everything ourselves, with a little aid from the community.

Make sure Pentaho solutions are still available as they were prior to the commercial take-over. Administration is not the best developed component . The ETL is brilliant. Make sure that the admin part is covered.

It is a very good open source ETL tool that's capable of connecting to most databases. It has a lot of functions that makes transforming the data very easy. Also, because it is an open source product, it is very easy to build your own solution with it.

It is also possible to build a new solution quit quick so the customer sees results quite fast.

In the community version the scheduling tool is not good, and we had to build it ourselves.

I have worked with different versions of Pentaho since 2009.

There are a couple of bugs in the newer versions. We were forced to wait until those bugs were fixed before we could upgrade.

There were no issues with its stability.

There have been no issues scaling it.

Because we use the community edition, there is no support from the vendor. When I worked with the Enterprise edition last year the technical support was quick and to the point. I was more than happy with their knowledge.

In the past I also worked with SAP BI. The main reason we switched to Pentaho was the cost of SAP. Because of the flexibility of Pentaho, I prefer to work with it.

When I started using Pentaho in 2009 the initial setup was quit complex, mainly because of a lack of good documentation at that time. Since then, it has dramatically improved. Also the community on the web is quit active and there are some good blogs.

I was hired to do the implementation. I think it is necessary to have a good understanding of the product to implement is well so I would recommend, when not in-house, to hire the appropriate knowledge

When you don’t have the knowledge of the product I would recommend to follow some courses in to speed up the learning curve. A cheap way to start with Pentaho is using the Community Edition. You can do almost everything with it and the purchase of the Enterprise Edition is not necessary

• Pentaho Kettle has a very intuitive and easy to use graphical user interface (GUI)
• It is possible to understand how to develop an ETL solution even when using it for the first time
• The Community Edition is free and very efficient
• They have versions for Windows, Linux and Mac
• Large selection of options.

We have developed some complex ETL processes for some clients and they are very satisfied with the results.

They could improve the logging generator. Sometimes the error description is so generic that it is not possible to detect the problem.

We've used it for three years.

There were no issues with the deployment.

There were no issues with the stability.

There have been no issues scaling it.

I use the Community Edition without support or customer service. I recommend the Pentaho Community Forums for technical issues.

I have used Informatica PowerCenter, which is an excellent solution. However, it´s not so easy to use as Pentaho kettle.

The initial setup is straightforward. All you need to do is to download it, unzip the file into a folder and execute the Spoon.bat (for Windows) or Spoon.sh (for Linux) to start the graphical user interface (GUI).

In-house. The implementation is very simple. Data developers will not encounter difficulties to implement ETL solutions.

The community edition is free. If you need a full BI solution, I would recommend the enterprise edition.

Pentaho Kettle is an excellent solution to implement ETL process.