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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Toad Data Point
Score 8.0 out of 10
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Toad Data Point is a cross-platform, self-service, data-integration tool that simplifies data access, preparation and provisioning. It provides data connectivity and desktop data integration, and with the Workbook interface for business users, it provides simple-to-use visual query building and workflow automation.
$365
Pricing
Pentaho
Toad Data Point
Editions & Modules
No answers on this topic
Base Edition
$365
Pro Edition
$528
Offerings
Pricing Offerings
Pentaho
Toad Data Point
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Pentaho
Toad Data Point
Features
Pentaho
Toad Data Point
BI Standard Reporting
Comparison of BI Standard Reporting features of Product A and Product B
Pentaho
9.0
20 Ratings
9% above category average
Toad Data Point
-
Ratings
Pixel Perfect reports
8.618 Ratings
00 Ratings
Customizable dashboards
9.918 Ratings
00 Ratings
Report Formatting Templates
8.718 Ratings
00 Ratings
Ad-hoc Reporting
Comparison of Ad-hoc Reporting features of Product A and Product B
Pentaho
8.7
19 Ratings
8% above category average
Toad Data Point
-
Ratings
Drill-down analysis
7.618 Ratings
00 Ratings
Formatting capabilities
8.319 Ratings
00 Ratings
Integration with R or other statistical packages
9.312 Ratings
00 Ratings
Report sharing and collaboration
9.717 Ratings
00 Ratings
Report Output and Scheduling
Comparison of Report Output and Scheduling features of Product A and Product B
Pentaho
9.7
20 Ratings
17% above category average
Toad Data Point
-
Ratings
Publish to Web
9.618 Ratings
00 Ratings
Publish to PDF
9.819 Ratings
00 Ratings
Report Versioning
9.713 Ratings
00 Ratings
Report Delivery Scheduling
9.917 Ratings
00 Ratings
Delivery to Remote Servers
9.310 Ratings
00 Ratings
Data Discovery and Visualization
Comparison of Data Discovery and Visualization features of Product A and Product B
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.
Appropriate for general querying and some DBA work. It's the universal least-offensive solution for most environments - not best of breed, but not subject to unusual/extensive requirements. It just works. On the other hand, some functionality (e.g. data import/export, snippets) are perfunctory and minimal and seem to be either difficult or impossible to automate. If you need to streamline those operations, you'll be forced to rely on third-party solutions that mostly work on top of (instead of with) TOAD.
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.
The workflow is a relatively new feature. Quest is adding additional functionality and the workflows are useful now.
Would be nice if the 'Automate' feature was a bit easier to use.
Would be nice if some of the SQL Editor features in the traditional interface worked better in the new workflow interface (although, these are being fixed with each release).
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 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 find Toad Data Point easy to use for both the novice and the experienced business analyst. If all you desire is to access data and create spreadsheets...this is a snap. Toad Data Point actually has cool data analysis features built into it. The newer workflow interface makes automating steps a snap
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.
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.
It is the least common denominator - not particularly optimized for our environment or workflows.
Hangs or slowdowns add anywhere from 5% - 7% for projects utilizing large/complicated data setts. (This could be due to other IT-imposed constraints and not entirely due to TOAD.)
Trying to perform some operations requires reading documentation and experimenting in order to figure out the TOAD-specific approaches and commands.
It just works (when we understand it). Updates don't break things and things don't suddenly start behaving differently. Best of all, we don't mysteriously lose functionality.