We performed a comparison between Databricks and Jedox based on real PeerSpot user reviews.
Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms."Databricks is a scalable solution. It is the largest advantage of the solution."
"The most valuable feature of Databricks is the integration of the data warehouse and data lake, and the development of the lake house. Additionally, it integrates well with Spark for processing data in production."
"The most valuable feature is the Spark cluster which is very fast for heavy loads, big data processing and Pi Spark."
"The setup was straightforward."
"We like that this solution can handle a wide variety and velocity of data engineering, either in batch mode or real-time."
"The solution is very simple and stable."
"Databricks has improved my organization by allowing us to transform data from sources to a different format and feed that to the analytics, business intelligence, and reporting teams. This tool makes it easy to do those kinds of things."
"The solution's features are fantastic and include interactive clusters that perform at top speed when compared to other solutions."
"The system is quite flexible. Based on our requirements, we create different cubes that can help us to do complete planning."
"The EPM is the most valuable feature."
"The main strength of Jedox lies in mastering the navigation, especially the Excel add-in."
"The ease of reporting is one of Jedox's most valuable features."
"We can configure and have complete freedom while creating solutions."
"The solution is quick with analysis and calculation. The tool offers high digitalization which helps us to run the controlling department with less number of people. If the software wasn't there, I would need two to three people extra to run the department."
"The customer porting is the most valuable feature."
"The data entry point is most valuable. The way we can customize our report or do data entry is very good."
"Instead of relying on a massive instance, the solution should offer micro partition levels. They're working on it, however, they need to implement it to help the solution run more effectively."
"The tool should improve its integration with other products."
"It should have more compatible and more advanced visualization and machine learning libraries."
"Databricks would have more collaborative features than it has. It should have some more customization for the jobs."
"The solution could be improved by adding a feature that would make it more user-friendly for our team. The feature is simple, but it would be useful. Currently, our team is more familiar with the language R, but Databricks requires the use of Jupyter Notebooks which primarily supports Python. We have tried using RStudio, but it is not a fully integrated solution. To fully utilize Databricks, we have to use the Jupyter interface. One feature that would make it easier for our team to adopt the Jupyter interface would be the ability to select a specific variable or line of code and execute it within a cell. This feature is available in other Jupyter Notebooks outside of Databricks and in our own IDE, but it is not currently available within Databricks. If this feature were added, it would make the transition to using Databricks much smoother for our team."
"Databricks can improve by making the documentation better."
"The query plan is not easy with Databrick's job level. If I want to tune any of the code, it is not easily available in the blogs as well."
"Databricks may not be as easy to use as other tools, but if you simplify a tool too much, it won't have the flexibility to go in-depth. Databricks is completely in the programmer's hands. I prefer flexibility rather than simplicity."
"I think it's the design of the report because the design and the UI for the report is standard and lame. When you see a Jedox report, it doesn't seem like it's from today, because the technology is something from the last decade. The scalability needs improvement."
"The solution should enable a modern look and feel in the front end."
"Being an analytical solution, it should have more visualization options like graphs. When we are putting it, it should have more options. The UI can be made more modernized based on today's market. Sometimes, when we are doing heavy reports or dashboarding, there is a bit of a performance issue because it is pulling up a huge amount of data. That can be improvised by buffer memory and getting some buffer memory feature into it. It is a bit complex because it is a CPM solution. It helps you to get the information based on the different tools that we are using, which is a bit of a complex thing. It is not as easy as Microsoft Power BI. It is also not that easy as an implementation piece. It takes time to convert the business requirement into the proper solutions in the tool, which is time-consuming. It took about eight months to do the complete implementation. We got some training from the partner and the Jedox team, which helped us later on in pulling things forward, but too much learning is required, and too many possibilities are there."
"Jedox should improve the design and server issues."
"There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself."
"The solution needs to improve its support. The visualization in Microsoft BI is more modern and comfortable than Jedox's. I would expect something similar with the solution."
"The tool has changed its pricing and it's now too expensive for small and medium organizations. I miss the open-source version which was free and we could do a lot of things with it."
"From a development perspective, there's room for improvement in the area called the designer, where you actually build your reports to make it easier to manage the process."
Databricks is ranked 1st in Data Science Platforms with 78 reviews while Jedox is ranked 4th in Business Performance Management with 13 reviews. Databricks is rated 8.2, while Jedox is rated 8.0. The top reviewer of Databricks writes "A nice interface with good features for turning off clusters to save on computing". On the other hand, the top reviewer of Jedox writes "Powerful BI tool for analyzing financial performance and stable performance". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas Jedox is most compared with IBM Planning Analytics, Microsoft Power BI, Tableau, Anaplan and Oracle Hyperion.
We monitor all Data Science Platforms reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
