GoodData powers modern BI for the modern data stack. It is a business intelligence platform that provides the creation, delivery, and automated management of analytics at any scale. GoodData experts help businesses build data strategies, create new products, and maximize their data ROI. At a high level, GoodData’s composable data and analytics platform provides self-service analytics, low-code/no-code interfaces, embeddable data visualization, and application integration. The platform…
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Pentaho
Score 7.8 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.
We have done extensive exploration of the BI marketplace but had to eliminate many of the BI vendors due our business model and their licensing model being incompatible or cost prohibitive. We provide reporting to hundreds of clients and hundreds of thousands of end-users and …
GoodData is well-suited for scenarios where businesses require a powerful Embedded BI platform that offers seamless integration with existing software. It excels in providing insightful analytics for issue tracking and resolution, enabling data-driven decision-making. Its ability to create custom ad-hoc dashboards and reports empowers users to derive valuable insights without extensive technical expertise. However, GoodData may be less appropriate for highly complex data analysis or large-scale data processing due to potential limitations in scalability and customization.
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.
It's a good platform that has a flexible pricing plan which means that users can get hands-on service free at the start.
GoodData provides its users with excellent charts and drill-down analysis which makes complex large data sets so simplified and easy to understand and interpret.
For me it is so convenient because everything just gets saturated on a single page.
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.
Each client I have worked with and spoken too has renewed their GoodData subscription. I know of not one to date that has cancelled. The GoodData platform has a very high rate of renewal from the discussions I have had with their internal teams as well
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
Nice UI & UX, it's easy for non engineering team members to build reports and show them during demos, we can easily create dashboards and reports and we can give this access to some of our clients too. Overall we are all very happy with this part of the GoodData software.
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.
The fast and comprehensive responses we got from GoodData regarding the doubts we had experienced while starting to use the products and metrics were of great help in ensuring the metrics we were obtaining were accurate to what we wanted to know about our customers' experience and our product areas of opportunity.
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 actually investigated around 20 options and in most part the embedding + multi tenant mode that became a key concern. They either do not have the support or the price scaling is terrible or the startup cost is prohibitive. On the average startup cost is around 50k per year and that is the bare minimal with no addon which is not usable, or the scaling in pricing is based off per users. So if I you are running a SaaS business that charge per user 15 dollars a month, if you just want to show one graph through embedding, it might cost you 10 dollars per user. This might make sense if you provide only power users with that option and charge a premium for it but in my scenario my motivation is to democratize the data. That itself makes it commercial not viable to have a cost structure like this.
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.
Better data insights of support tickets helped identify key customer issues and channelize efforts accordingly
Detailed analysis of existing issue, helped identify product defects across the board thereby provide meaning insights to engineering teams to resolve product issues that were previously unknown to us
