IBM MQ vs. Pentaho

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM MQ
Score 9.1 out of 10
N/A
IBM MQ (formerly WebSphere MQ and MQSeries) is messaging middleware.N/A
Pentaho
Score 5.1 out of 10
N/A
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.N/A
Pricing
IBM MQPentaho
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM MQPentaho
Free Trial
YesNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
IBM MQPentaho
Features
IBM MQPentaho
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM MQ
-
Ratings
Pentaho
9.0
20 Ratings
10% above category average
Pixel Perfect reports00 Ratings8.618 Ratings
Customizable dashboards00 Ratings9.918 Ratings
Report Formatting Templates00 Ratings8.718 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM MQ
-
Ratings
Pentaho
8.7
19 Ratings
8% above category average
Drill-down analysis00 Ratings7.618 Ratings
Formatting capabilities00 Ratings8.319 Ratings
Integration with R or other statistical packages00 Ratings9.312 Ratings
Report sharing and collaboration00 Ratings9.717 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM MQ
-
Ratings
Pentaho
9.7
20 Ratings
17% above category average
Publish to Web00 Ratings9.618 Ratings
Publish to PDF00 Ratings9.819 Ratings
Report Versioning00 Ratings9.713 Ratings
Report Delivery Scheduling00 Ratings9.917 Ratings
Delivery to Remote Servers00 Ratings9.310 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
IBM MQ
-
Ratings
Pentaho
8.1
17 Ratings
2% above category average
Pre-built visualization formats (heatmaps, scatter plots etc.)00 Ratings7.916 Ratings
Location Analytics / Geographic Visualization00 Ratings8.216 Ratings
Predictive Analytics00 Ratings8.314 Ratings
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
IBM MQ
-
Ratings
Pentaho
9.1
20 Ratings
7% above category average
Multi-User Support (named login)00 Ratings9.320 Ratings
Role-Based Security Model00 Ratings9.619 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.918 Ratings
Single Sign-On (SSO)00 Ratings7.610 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
IBM MQ
-
Ratings
Pentaho
8.3
11 Ratings
7% above category average
Responsive Design for Web Access00 Ratings9.710 Ratings
Mobile Application00 Ratings6.97 Ratings
Dashboard / Report / Visualization Interactivity on Mobile00 Ratings8.711 Ratings
Application Program Interfaces (APIs) / Embedding
Comparison of Application Program Interfaces (APIs) / Embedding features of Product A and Product B
IBM MQ
-
Ratings
Pentaho
8.6
10 Ratings
11% above category average
REST API00 Ratings8.310 Ratings
Javascript API00 Ratings9.09 Ratings
iFrames00 Ratings7.39 Ratings
Java API00 Ratings8.79 Ratings
Themeable User Interface (UI)00 Ratings8.910 Ratings
Customizable Platform (Open Source)00 Ratings9.610 Ratings
Best Alternatives
IBM MQPentaho
Small Businesses

No answers on this topic

Yellowfin
Yellowfin
Score 8.8 out of 10
Medium-sized Companies
Apache Kafka
Apache Kafka
Score 8.5 out of 10
Reveal
Reveal
Score 10.0 out of 10
Enterprises
Apache Kafka
Apache Kafka
Score 8.5 out of 10
Kyvos Semantic Layer
Kyvos Semantic Layer
Score 9.5 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM MQPentaho
Likelihood to Recommend
8.9
(47 ratings)
9.1
(31 ratings)
Likelihood to Renew
9.1
(1 ratings)
8.8
(11 ratings)
Usability
7.8
(6 ratings)
9.3
(6 ratings)
Availability
9.5
(29 ratings)
-
(0 ratings)
Support Rating
9.1
(27 ratings)
9.3
(7 ratings)
Online Training
-
(0 ratings)
9.5
(2 ratings)
Implementation Rating
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
IBM MQPentaho
Likelihood to Recommend
IBM
In the context of Internet of Things (IoT) applications, IBM MQ plays a pivotal role in managing the substantial data streams emanating from interconnected devices. Its primary function is to guarantee the dependable transmission and processing of data, catering to a diverse range of IoT use cases, including but not limited to smart city initiatives, healthcare monitoring systems, and industrial automation solutions. In the telecommunications sector, IBM MQ is employed for message routing, call detail record (CDR) processing, and network management to ensure real-time data exchange and fault tolerance. When managing the supply chain and logistics, IBM MQ is used to ensure timely and accurate communication between different entities, including suppliers, warehouses, and transportation providers. IBM MQ can be cost-prohibitive for smaller organizations due to licensing and maintenance costs. In such cases, open-source or lightweight messaging solutions may be more appropriate. For scenarios requiring extremely low-latency, real-time data exchange, and high throughput, other messaging technologies, like Apache Kafka, may be more suitable due to their specialized design for such use cases.
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Hitachi Vantara
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.
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Pros
IBM
  • The documentation is very clear,It is understandable and the support helps to configure it in the best way.
  • Server guidelines make it possible to get the most out of work management. It's broad, we can work with different operating systems, I really recommend using linux.
  • It is highly compatible with systems, brockers, applications, and data accumulation programs, it is possible to configure everything so that after the installation of programs, they can communicate with each other and then throw data to an external program that accumulates it and represents in clear details of steps to follow and make business decisions.
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Hitachi Vantara
  • Integrate and synchronize with big data easily
  • Import data from any sources and different databases
  • Managing data in on-premise, hybrid and cloud environments.
  • Compatibility and flexibility of the platform with any type of scenario and any business or industry
  • Various tools in the software suite to transformation of data
  • Simple interface appearance and creative UI graphics
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Cons
IBM
  • There is limitation on number of svrconn connections you can have to MQ on the mainframe which has been an major issue for us. This has been an issue for us for over 4 years and still no fix although I am aware IBM have been working on a solution over the last year.
  • When upgrading to MQ V9.3 on our MQ appliances there is no fall-back option. This was the same for MQ V9.2 upgrade from MQ V9.0. For production upgrades this I believe is not acceptable.
  • AMS is not supplied as part of the standard mainframe MQ licence. You need an extra licence. IBM tell customers how important security and protecting data is yet they still want to charge for this software. The cost of MQ on the mainframe is not cheap so I would expect AMS to be part of the base product.
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Hitachi Vantara
  • 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.
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Likelihood to Renew
IBM
No answers on this topic
Hitachi Vantara
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
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Usability
IBM
I give it a nine because it has significantly improved my team's data reliability and operational efficiency. Its great security features give us peace of mind, knowing our sensitive data is well protected. While the setup might initially be complex, I believe the long-term benefits far outweigh this hurdle.
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Hitachi Vantara
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.
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Reliability and Availability
IBM
The messages are delivered instantly with this software and it integrates with our technology stack, in terms of availability we only had one failure when we were doing some testing and integration with third parties, the features of this software make it always available and its deployment is easy for the company, it does not generate expenses due to failures
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Hitachi Vantara
No answers on this topic
Support Rating
IBM
There are very specific things that must be elevated to more specialized areas of support, but the common support is very agile when receiving questions or when we leave concerns in real time. I recommend the support of the program in this regard.
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Hitachi Vantara
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.
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Online Training
IBM
No answers on this topic
Hitachi Vantara
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
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Implementation Rating
IBM
No answers on this topic
Hitachi Vantara
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.
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Alternatives Considered
IBM
We found IBM MQ very easy to get started and quick to learn by the new users with a short learning curve and seamlessly integrates with IBM products, and quick to perform self-service analytics and make informed business decisions. IBM MQ is also very straightforward in creating simple and best reports, which are very profitable and productive.
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Hitachi Vantara
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.
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Return on Investment
IBM
  • Positive- Message Reliability and Reduced downtime, increases the ROI many times.
  • Positive- Increased stability and enhanced customer experience
  • Negative- cost is very high - Both licensing and integration cost
  • Negative- Learning and training cost of IBM MQ is high as its complex to use and integrate
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Hitachi Vantara
  • Pentaho has improved our overall business process.
  • Pentaho has helped the Managers and Directors to analyze the numbers going up and down from time to time.
  • We have a started a big project using Pentaho that is going to include all the business processes in the organization.
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ScreenShots