JMeter, from Apache, is a load and performance testing tool.
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Pentaho
Score 5.1 out of 10
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Pentaho is a suite of open source business intelligence and analytics products, now offered and supported by Hitachi Data Systems since the June 2015 acquisition.
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Pricing
Apache JMeter
Pentaho
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Pricing Offerings
JMeter
Pentaho
Free Trial
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No
Free/Freemium Version
Yes
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Premium Consulting/Integration Services
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Entry-level Setup Fee
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Community Pulse
Apache JMeter
Pentaho
Features
Apache JMeter
Pentaho
Load Testing
Comparison of Load Testing features of Product A and Product B
Apache JMeter
7.2
24 Ratings
17% below category average
Pentaho
-
Ratings
End to end performance management
9.021 Ratings
00 Ratings
Integrated performance data
8.522 Ratings
00 Ratings
Deployment model flexibility
7.521 Ratings
00 Ratings
Real time monitoring
6.521 Ratings
00 Ratings
Automated anomaly detection
4.417 Ratings
00 Ratings
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Apache JMeter
-
Ratings
Pentaho
9.0
20 Ratings
9% above category average
Pixel Perfect reports
00 Ratings
8.618 Ratings
Customizable dashboards
00 Ratings
9.918 Ratings
Report Formatting Templates
00 Ratings
8.718 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Apache JMeter
-
Ratings
Pentaho
8.7
19 Ratings
8% above category average
Drill-down analysis
00 Ratings
7.618 Ratings
Formatting capabilities
00 Ratings
8.319 Ratings
Integration with R or other statistical packages
00 Ratings
9.312 Ratings
Report sharing and collaboration
00 Ratings
9.717 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Apache JMeter
-
Ratings
Pentaho
9.7
20 Ratings
16% above category average
Publish to Web
00 Ratings
9.618 Ratings
Publish to PDF
00 Ratings
9.819 Ratings
Report Versioning
00 Ratings
9.713 Ratings
Report Delivery Scheduling
00 Ratings
9.917 Ratings
Delivery to Remote Servers
00 Ratings
9.310 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
JMeter is well suited for Java applications where the user can script the scenario once and make changes to accommodate for as many numbers of users for load test execution. The image and selection of any files or exporting files scenario is handled well.
It is less appropriate to test Ajax applications where it is required to script click per use.
Pentaho is very well suited to perform data extraction & data mining from various cloud storage & transform that data using various available data models. However, the software struggles when it comes to visualizing the extracted data in an appealing manner & can be difficult for end-users to get an understanding of data tables created using those models.
Easy of use - in generate load like HTTP requests, and processing/analyzing the responses. No coding is necessary at the basic level, just need to understand load testing and the infrastructure being tested.
Automatic management of things like cookies to help with session state support - so you don't specifically have to worry about it or handle it
Lots of testing/configuration options to suit your needs in making the right load generation (sampling requests), and analyzing the results, including any pre and post processing of the results first. Things like the Beanshell/BSF pre/post processors, response assertion, regular expression extractor, XPath extractor, CSV data set config
There is a JMeter cloud service called BlazeMeter that I think would be useful for those that need to scale up high load without provisioning their own systems. I've not personally tried it though, but I recently attended a meetup presentation that highlighted nice useful features that BlazeMeter provides. One should evaluate the service if they are considering JMeter and need to expand beyond existing hardware resources.
Jmeter requires many tweaks with respect to its configuration file and thread properties. users need to edit theses files themselves. There could be some interface where we can edit this fields.
Jmeter cannot handle more threads and hangs up when we increase the number of threads. This causes lot of inconvenience. In these situations, user can be notified that such change would be lead to slow performance so that user can do as required. The same appears when we try to view huge files on graph listener.
Jmeter should optimize the read and write access to output csv since it acts as overhead to the I/O performance. This affects our test results for the application which we are testing.
I think the relative obscurity of the tool is a downside, not as many developers, consultants or peers you can tap into.
Lack of a solid user community held us back, looking at Power BI and Qlik, they have huge user communities that help each other out. Would have liked that here.
Smaller company means smaller sales force, and the lack of a local presence made it hard to only interact online with the account rep. Other companies have someone local who often stops by with pre-sales developers to just pitch in free of charge when they have time.
Price, Wiki and user sharing. Having access to the information provided by the developers and other open source providers is key for me. The ability to share information and get answers directly is very important to success in software testing. And the price of this product currently is amazing. Too many companies charge way too much money for products that are far behind in their value and pertinence
I will use Pentaho until I find a better tool with a better, easier to use report designer client. For now, Pentaho has been the most powerful reporting tool for our clients because of its ability to connect to Odoo, integrate in Odoo (reports are accessible in Odoo) and the flexibility in report design and parameter integration
The purpose related to performance and load testing through Apache JMeter works fine but the usability of the tool should be improved quite a lot. If someone starts with the Jmeter fresh without prior experience, they need to put more efforts in understanding the tool. The UI is not that great which is the main reason not to give high rating on usability.
The Pentaho tools are designed so you can start playing around on your own. Of course, you will need guidance at some point, but the training teams are good at guiding new users, and the online documentation is usually pretty up-to-date.
Some of the tools, such as the Pentaho Data Integration tool and the Pentaho Server, are pretty self-explanatory. The other tools maybe are not so quickly and obvious to use, but again, with some documentation and some customer support, you can find your way around them.
I have been using JMeter for the last year. By using this tool, you can make sure the system will work under varied loads. It helps us to simulate real time scenarios by creating required virtual users and make sure the application will work under load. Perform load, stress, and stability testing using JMeter.
They were responsive to our questions when we raised issues. They gave us workarounds when required. They were quite knowledgeable when it came to issue analysis and providing fixes. They were forthright in informing us if a bug was not due for release soon.
Course Taken: DI1000 Pentaho Data Integration Fundamentals Setup A week before your class started, the instructor will start sending out class material and lab setup instructions. This is helpful so that you understand how the environment is laid out and can start reviewing the content. Ultimately it saved about a 1/2 day trying to setup with 10 other people online which was great! The Course The 3-day course was laid out like many other technical classes with 15-30 minutes instruction and 15-60 minutes of lab exercises. The instructor was very knowledgeable with the functionality from version to version and answered questions as we went along. I was amazed at some of the functionality that was available that I was not using at the time and quickly implemented changes to many existing transformations and jobs. The novice users seemed to catch on quickly and more experienced users explained how some of the functionality was used in their home environments. Towards the end there was enough time so that we were able to ask very directed questions about our own environments. Overall, I really found the class to be informative and deliver enough information to be dangerous. My skills improved and I was able to design better and efficient transformations for the HIE. Course Description: https://training.pentaho.com/instructor-led-training/pentaho-data-integration-fundamentals-di1000
Get the right people in before starting implementation. Start small and build as you go approach is time consuming and involves lot of rework. Evangalize within the organization the capabilities and limitations equally so that correct delivery expectations are set. Set expectations with the Customer that the tool cannot replace proprietary software in terms of stability/usability and that timelines could change given the new ness of the product.
I have used LoadRunner and Silkperformer, and so far Jmeter turns out be the easiest to use of all these. While each of them have their own ROI, Jmeter can be picked by anyone in hours and start testing within a day. While with other tools, we need to get license, install them (takes a while) and setup tests and firewalls, etc.
Since the Pentaho platform offers a range of broad functionality across data preparation and advanced analytics, it also can be easily integrated to support many data sources and machine-learning frameworks. Based on that fact, we selected Pentaho to be used in our internal department. It also supports many of our BI use cases as required by company management or the business user. Last but not least, the Pentaho license is cheaper than their competitor.