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."It's very simple to use Databricks Apache Spark."
"Databricks is based on a Spark cluster and it is fast. Performance-wise, it is great."
"The setup was straightforward."
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution."
"Databricks integrates well with other solutions."
"The most valuable feature of Databricks is the integration with Microsoft Azure."
"The most valuable feature is the ability to use SQL directly with Databricks."
"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 ETL function simplifies many tasks."
"We use the tool for performance management and planning."
"The Excel interface is designed to retrieve data from the database and send it back, which is a significant advantage."
"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."
"The EPM is the most valuable feature."
"The customer porting is the most valuable feature."
"The ETL itself was pretty useful and it's integrated in the tenant itself. So the Olap service technology was impressive to me. In order to extract that and load it in the tube in the same tenant or the same tool that was something magnificent because I actually missed this in SEB. SEB requires another tool, and you have to integrate all the tools together. But for Jedox, it was in the one tool."
"A lot of people are required to manage this solution."
"Databricks would benefit from enhanced metrics and tighter integration with Azure's diagnostics."
"Doesn't provide a lot of credits or trial options."
"In the future, I would like to see Data Lake support. That is something that I'm looking forward to."
"I would like more integration with SQL for using data in different workspaces."
"Generative AI is catching up in areas like data governance and enterprise flavor. Hence, these are places where Databricks has to be faster."
"It would be better if it were faster. It can be slow, and it can be super fast for big data. But for small data, sometimes there is a sub-second response, which can be considered slow. In the next release, I would like to have automatic creation of APIs because they don't have it at the moment, and I spend a lot of time building them."
"Databricks has added some alerts and query functionality into their SQL persona, but the whole SQL persona, which is like a role, needs a lot of development. The alerts are not very flexible, and the query interface itself is not as polished as the notebook interface that is used through the data science and machine learning persona. It is clunky at present."
"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."
"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."
"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."
"The solution should enable a modern look and feel in the front end."
"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."
"Jedox should improve the design and server issues."
"Online pixel-perfect reporting is an aspect that has room for improvement."
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.
