Apache Hadoop vs. Pentaho

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Hadoop
Score 6.9 out of 10
N/A
Hadoop is an open source software from Apache, supporting distributed processing and data storage. Hadoop is popular for its scalability, reliability, and functionality available across commoditized hardware.N/A
Pentaho
Score 6.4 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
Apache HadoopPentaho
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
HadoopPentaho
Free Trial
NoNo
Free/Freemium Version
YesNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
Apache HadoopPentaho
Considered Both Products
Hadoop
Chose Apache Hadoop
it's popular and in market for almost decades and free
Pentaho
Chose Pentaho
Did not have any other products similar to what Pentaho offers out-of-the box for free. The closest was to write some scripts manually so in our case PDI has beat Python scripts.
Chose Pentaho
We have experience with Informatica and Talend. I think that between Talend and Pentaho it's a close fight, although I prefer, personally, Pentaho Kettle (Larger community, more resources).
I think that you can say informatica is better than both of them but it is way more …
Chose Pentaho
We evaluated Panorama, Cognos, MicroSrategy, Jasper Reports, Talend and homegrown solutions. Though each were awesome in their own right, none of them provided a end to end integration like we wanted. Pentaho did the job for us and more. Knowing that Pentaho was built by a team …
Top Pros
Top Cons
Features
Apache HadoopPentaho
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Apache Hadoop
-
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
Apache Hadoop
-
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
Apache Hadoop
-
Ratings
Pentaho
9.7
20 Ratings
15% 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
Apache Hadoop
-
Ratings
Pentaho
8.1
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
Apache Hadoop
-
Ratings
Pentaho
9.1
20 Ratings
7% 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 Ratings7.610 Ratings
Mobile Capabilities
Comparison of Mobile Capabilities features of Product A and Product B
Apache Hadoop
-
Ratings
Pentaho
8.3
11 Ratings
3% above category average
Responsive Design for Web Access00 Ratings9.710 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
Apache Hadoop
-
Ratings
Pentaho
8.6
10 Ratings
9% 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
Apache HadoopPentaho
Small Businesses

No answers on this topic

Cyfe
Cyfe
Score 8.8 out of 10
Medium-sized Companies
Cloudera Manager
Cloudera Manager
Score 9.9 out of 10
Reveal
Reveal
Score 10.0 out of 10
Enterprises
IBM Analytics Engine
IBM Analytics Engine
Score 8.6 out of 10
Jaspersoft Community Edition
Jaspersoft Community Edition
Score 9.7 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Apache HadoopPentaho
Likelihood to Recommend
8.9
(36 ratings)
9.1
(31 ratings)
Likelihood to Renew
9.6
(8 ratings)
8.8
(11 ratings)
Usability
8.5
(5 ratings)
9.3
(6 ratings)
Performance
8.0
(1 ratings)
-
(0 ratings)
Support Rating
7.5
(3 ratings)
9.3
(7 ratings)
Online Training
6.1
(2 ratings)
9.5
(2 ratings)
Implementation Rating
-
(0 ratings)
5.0
(1 ratings)
User Testimonials
Apache HadoopPentaho
Likelihood to Recommend
Apache
Altogether, I want to say that Apache Hadoop is well-suited to a larger and unstructured data flow like an aggregation of web traffic or even advertising. I think Apache Hadoop is great when you literally have petabytes of data that need to be stored and processed on an ongoing basis. Also, I would recommend that the software should be supplemented with a faster and interactive database for a better querying service. Lastly, it's very cost-effective so it is good to give it a shot before coming to any conclusion.
Read full review
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
Apache
  • Handles large amounts of unstructured data well, for business level purposes
  • Is a good catchall because of this design, i.e. what does not fit into our vertical tables fits here.
  • Decent for large ETL pipelines and logging free-for-alls because of this, also.
Read full review
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
Read full review
Cons
Apache
  • Less organizational support system. Bugs need to be fixed and outside help take a long time to push updates
  • Not for small data sets
  • Data security needs to be ramped up
  • Failure in NameNode has no replication which takes a lot of time to recover
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
Apache
Hadoop is organization-independent and can be used for various purposes ranging from archiving to reporting and can make use of economic, commodity hardware. There is also a lot of saving in terms of licensing costs - since most of the Hadoop ecosystem is available as open-source and is free
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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
Apache
Great! Hadoop has an easy to use interface that mimics most other data warehouses. You can access your data via SQL and have it display in a terminal before exporting it to your business intelligence platform of choice. Of course, for smaller data sets, you can also export it to Microsoft Excel.
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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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Support Rating
Apache
We went with a third party for support, i.e., consultant. Had we gone with Azure or Cloudera, we would have obtained support directly from the vendor. my rating is more on the third party we selected and doesn't reflect the overall support available for Hadoop. I think we could have done better in our selection process, however, we were trying to use an already approved vendor within our organization. There is plenty of self-help available for Hadoop online.
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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
Apache
Hadoop is a complex topic and best suited for classrom training. Online training are a waste of time and money.
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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
Apache
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
Apache
Not used any other product than Hadoop and I don't think our company will switch to any other product, as Hadoop is providing excellent results. Our company is growing rapidly, Hadoop helps to keep up our performance and meet customer expectations. We also use HDFS which provides very high bandwidth to support MapReduce workloads.
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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
Apache
  • There are many advantages of Hadoop as first it has made the management and processing of extremely colossal data very easy and has simplified the lives of so many people including me.
  • Hadoop is quite interesting due to its new and improved features plus innovative functions.
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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