IBM Cloud Pak for Data vs. Pentaho

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
IBM Cloud Pak for Data
Score 8.8 out of 10
N/A
IBM Cloud Pak for Data (formerly IBM Cloud Private for Data) provides data management, data governance, and automated data discovery and classification.N/A
Pentaho
Score 7.6 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 Cloud Pak for DataPentaho
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
IBM Cloud Pak for DataPentaho
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Features
IBM Cloud Pak for DataPentaho
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
Pentaho
9.0
20 Ratings
9% above category average
Pixel Perfect reports00 Ratings8.718 Ratings
Customizable dashboards00 Ratings9.818 Ratings
Report Formatting Templates00 Ratings8.618 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
Pentaho
8.7
19 Ratings
7% above category average
Drill-down analysis00 Ratings7.718 Ratings
Formatting capabilities00 Ratings8.319 Ratings
Integration with R or other statistical packages00 Ratings9.312 Ratings
Report sharing and collaboration00 Ratings9.617 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
Pentaho
9.6
20 Ratings
14% above category average
Publish to Web00 Ratings9.618 Ratings
Publish to PDF00 Ratings9.719 Ratings
Report Versioning00 Ratings9.613 Ratings
Report Delivery Scheduling00 Ratings9.917 Ratings
Delivery to Remote Servers00 Ratings9.210 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
Pentaho
8.2
17 Ratings
1% 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 Cloud Pak for Data
-
Ratings
Pentaho
9.1
20 Ratings
6% above category average
Multi-User Support (named login)00 Ratings9.320 Ratings
Role-Based Security Model00 Ratings9.519 Ratings
Multiple Access Permission Levels (Create, Read, Delete)00 Ratings9.918 Ratings
Single Sign-On (SSO)00 Ratings7.710 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
IBM Cloud Pak for Data
-
Ratings
Pentaho
8.3
11 Ratings
4% above category average
Responsive Design for Web Access00 Ratings9.610 Ratings
Mobile Application00 Ratings7.07 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 Cloud Pak for Data
-
Ratings
Pentaho
8.6
10 Ratings
8% above category average
REST API00 Ratings8.310 Ratings
Javascript API00 Ratings9.09 Ratings
iFrames00 Ratings7.39 Ratings
Java API00 Ratings8.69 Ratings
Themeable User Interface (UI)00 Ratings8.910 Ratings
Customizable Platform (Open Source)00 Ratings9.610 Ratings
Best Alternatives
IBM Cloud Pak for DataPentaho
Small Businesses
Egnyte
Egnyte
Score 7.6 out of 10
BrightGauge
BrightGauge
Score 8.9 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
Reveal
Reveal
Score 9.9 out of 10
Enterprises
IBM InfoSphere Information Server
IBM InfoSphere Information Server
Score 8.2 out of 10
TIBCO Jaspersoft Community Edition
TIBCO Jaspersoft Community Edition
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
IBM Cloud Pak for DataPentaho
Likelihood to Recommend
9.0
(13 ratings)
9.1
(31 ratings)
Likelihood to Renew
9.1
(2 ratings)
8.8
(11 ratings)
Usability
-
(0 ratings)
9.3
(6 ratings)
Support Rating
-
(0 ratings)
9.3
(7 ratings)
Online Training
-
(0 ratings)
9.5
(2 ratings)
Implementation Rating
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
IBM Cloud Pak for DataPentaho
Likelihood to Recommend
IBM
IBM Cloud Pak for Data with Netezza is well suited for clients who require fast, economical analytics processing. It is not designed to be used as a transactional processing environment. For example, a large customer is using it during the point of sale process. That makes little sense in that business case. However, to take analysis to market faster, it excels well in that space.
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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
  • I really like the AI and ML which enables us to source data in different sources for easy data-driven decisions.
  • It's a cloud tool that keeps all our data safe, backed up ahs obtainable at any time without being exposed to any kind of risks or loss.
  • I like the fact that ICP is main based on open source stack which adds value to products like VA or MCM.
  • IBM support service is great and top-class.
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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
  • This offering is currently available on prem, in Azure, and soon in AWS. GCP availability will be in the future as there is demand in the marketplace
  • The on premise offering starts with a Base + 0 model, which is a significant appliance. There are no 'mini' offerings as there were in the past.
  • At Destiny, we work closely with IBM to help our clients perform budgetary planning.
Read full review
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
No answers on this topic
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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Support Rating
IBM
No answers on this topic
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
Generally this tool has been very helpful and innovative because increase our workflow and collaboration using integrated multi-cloud platform. It also enables us to deploy in any flexible way like on-premises or cloud which saves time and hard disk space. It also enables us to connect, catalog, govern, transform and analyze data regardless of the area.
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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
  • IBM Cloud helps us to manage data speed across every distributed stores and clouds.
  • Acts as a single unified tool which brings all our data in one place where it's safe and easy to access.
  • Enables all of our data users to collaborate from a single, unified interface that supports many services that are designed to work seamless.
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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