Databricks vs Jedox comparison

The compared Databricks and Jedox solutions aren't in the same category. Databricks is ranked #8 in CDW , with an average rating of 8.3, and holds a 9.0% mindshare in the category. Jedox is ranked #11 in BPM , with an average rating of 7.7, and holds a 5.5% mindshare. Additionally, 96% of Databricks users are willing to recommend the solution, compared to 100% of Jedox users who would recommend it.

Databricks

Read 91 Databricks reviews

25,542 Views
2,043 Comparison Views

96% willing to recommend

Jedox

Read 13 Jedox reviews

1,693 Views
813 Comparison Views

100% willing to recommend

Databricks

Jedox

Comparison Buyer's Guide

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Executive Summary

We performed a comparison between Databricks and Jedox based on real PeerSpot user reviews.

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse.

To learn more, read our detailed Cloud Data Warehouse Report (Updated: June 2025).

Buyer's Guide

Cloud Data Warehouse

June 2025

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Helped 861,490 peers since 2012

Review summaries and opinions

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Categories and Ranking

Databricks

Average Rating

8.2

Reviews Sentiment

7.0

Number of Reviews

Ranking in other categories

Cloud Data Warehouse (8th), Data Science Platforms (1st), Streaming Analytics (1st)

Jedox

Average Rating

8.0

Reviews Sentiment

6.7

Number of Reviews

Ranking in other categories

Business Performance Management (11th)

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 9.0%, up 4.6% compared to last year.
Jedox, on the other hand, focuses on Business Performance Management, holds 5.5% mindshare, up 4.1% since last year.

Cloud Data Warehouse

Business Performance Management

Featured Reviews

ShubhamSharma7

Data Engineer at a engineering company with 1,001-5,000 employees

Capability to integrate diverse coding languages in a single notebook greatly enhances workflow

Databricks offers various courses that I can use, whether it's PySpark, Scala, or R. I can leverage all these courses in a single notebook, which is beneficial for clients as they can access various tools in one place whenever needed. This is quite significant. I usually work with PySpark based on client requirements. After coding, I feed the Databricks notebooks into the ADF pipeline for updates. Databricks' capability to process data in parallel enhances data processing speed. Furthermore, I can connect our Databricks notebook directly with Power BI and other visualization tools like Qlik. Once we develop code, it allows us to transform raw data into visualizations for clients using analysis diagrams, which is very helpful.

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Riyaz Halani

Financial Controller at Zalando SE

Powerful BI tool for analyzing financial performance and stable performance

I would rate the scalability of Jedox a seven out of ten. There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself. So that's where the main improvements lie—making it easy for people to not depend on just technical finance teams. There are almost 50 to 60 users using Jedox in our organization.

Read full review

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:

Pros

"There are good features for turning off clusters."

"The setup is quite easy."

"In the manufacturing industry, Databricks can be beneficial to use because of machine learning. It is useful for tasks, such as product analysis or predictive maintenance."

"Databricks provides a consistent interface for data engineers to work with data in a consistent language on a single integrated platform for ingesting, processing, and serving data to the end user."

"It can send out large data amounts."

"I haven't heard about any major stability issues. At this time I feel like it's stable."

"The solution offers a free community version."

"Databricks serves as a single platform that can handle numerous end-to-end machine learning tasks."

More Databricks pros

"The data entry point is most valuable. The way we can customize our report or do data entry is very good."

"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."

"The solution is very versatile."

"The customer porting is the most valuable feature."

"The main strength of Jedox lies in mastering the navigation, especially the Excel add-in."

"We use the tool for performance management and planning."

"The system is quite flexible. Based on our requirements, we create different cubes that can help us to do complete planning."

"The ETL function simplifies many tasks."

More Jedox pros

Cons

"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."

"The product should provide more advanced features in future releases."

"This solution only supports queries in SQL and Python, which is a bit limiting."

"I have seen better user interfaces, so that is something that can be improved."

"I would like to see the integration between Databricks and MLflow improved. It is quite hard to train multiple models in parallel in the distributed fashions. You hit rate limits on the clients very fast."

"I'm not the guy that I'm working with Databricks on a daily basis. I'm on the management team. However, my team tells me there are limitations with streaming events. The connectors work with a small set of platforms. For example, we can work with Kafka, but if we want to move to an event-driven solution from AWS, we cannot do it. We cannot connect to all the streaming analytics platforms, so we are limited in choosing the best one."

"Would be helpful to have additional licensing options."

"As a data engineer, I see cluster failure in our Databricks user databases as a major issue."

More Databricks cons

"Jedox should improve the design and server issues."

"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."

"Online pixel-perfect reporting is an aspect that has room for improvement."

"There is not much training for Jedox."

"More emphasis is needed on the availability of the learning aspect of the solution. Because unless you take up their course that enables you to be an expert in creating the report, you must seek help."

"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."

"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."

"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."

More Jedox cons

Pricing and Cost Advice

"I am based in South Africa, where it is expensive adapting to the cloud, and then there is the price for the tool itself."

"The solution is a good value for batch processing and huge workloads."

"Databricks' cost could be improved."

"We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."

"Whenever we want to find the actual costing, we have to send an email to Databricks, so having the information available on the internet would be helpful."

"The product pricing is moderate."

"My smallest project is around a hundred euros, and my most expensive is just under a thousand euros a week. That is based on terabytes of data processed each month."

"The cost is around $600,000 for 50 users."

More Databricks pricing and cost advice

"If you are using SAP, then you will have to take an SAP Connector license. The license across the tool is paying for the people who are using it as an admin or as a normal user. They can work out those costs in a manner that can help. This can also be a point of improvement where they can work out the costing, and the developers have a specific licensing cost. The normal users, who are going to do probably data entry or just going to view the dashboard, can have a separate license cost."

"Excellent value for money."

"The product’s pricing will not be suitable for setting up a small solution."

"The solution's pricing is specific to your requirements."

"Jedox was a bit cheaper compared to Calumo."

"We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."

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Top Industries

By visitors reading reviews

Financial Services Firm

17%

Computer Software Company

10%

Manufacturing Company

Healthcare Company

Computer Software Company

17%

Retailer

13%

Comms Service Provider

Financial Services Firm

Company Size

By reviewers

Large Enterprise

Midsize Enterprise

Small Business

Questions from the Community

Which do you prefer - Databricks or Azure Machine Learning Studio?

Databricks gives you the option of working with several different languages, such as SQL, R, Scala, Apache Spark, or Python. It offers many different cluster choices and excellent integration with ...

See all answers

How would you compare Databricks vs Amazon SageMaker?

We researched AWS SageMaker, but in the end, we chose Databricks. Databricks is a Unified Analytics Platform designed to accelerate innovation projects. It is based on Spark so it is very fast. It...

See all answers

Which would you choose - Databricks or Azure Stream Analytics?

Databricks is an easy-to-set-up and versatile tool for data management, analysis, and business analytics. For analytics teams that have to interpret data to further the business goals of their orga...

See all answers

What do you like most about Jedox?

The ease of reporting is one of Jedox's most valuable features.

See all answers

What needs improvement with Jedox?

There is not much training for Jedox. There was no training available in the beginning at all. I had to reach out to them so they would give us something. I think they're getting better, though. Th...

See all answers

What is your primary use case for Jedox?

We use the solution on the cloud, and Jedox hosts it. I'm the admin at my company, and we do corporate planning and management, including all the budgeting and forecasting. We also do a lot of repo...

See all answers

Comparisons

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Compared 10% of the time

Microsoft Power BI vs Databricks

Compared 9% of the time

Informatica PowerCenter vs Databricks

Compared 7% of the time

Dremio vs Databricks

Compared 6% of the time

Tableau vs Databricks

Compared 5% of the time

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Microsoft Power BI vs Jedox

Compared 31% of the time

IBM Planning Analytics vs Jedox

Compared 15% of the time

Anaplan vs Jedox

Compared 9% of the time

Tableau vs Jedox

Compared 9% of the time

OneStream XF vs Jedox

Compared 4% of the time

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Product Reports

Buyer's Guide

Databricks

July 2025

Download Databricks product report

Buyer's Guide

Jedox

July 2025

Download Jedox product report

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash

Jedox EPM

Overview

Databricks is utilized for advanced analytics, big data processing, machine learning models, ETL operations, data engineering, streaming analytics, and integrating multiple data sources.

Organizations leverage Databricks for predictive analysis, data pipelines, data science, and unifying data architectures. It is also used for consulting projects, financial reporting, and creating APIs. Industries like insurance, retail, manufacturing, and pharmaceuticals use Databricks for data management and analytics due to its user-friendly interface, built-in machine learning libraries, support for multiple programming languages, scalability, and fast processing.

What are the key features of Databricks?

User-friendly interface: Simplifies operations and usability.
Built-in machine learning libraries: Facilitates machine learning tasks.
Support for multiple programming languages: Enhances flexibility.
Scalability: Efficiently handles growing data needs.
Fast processing: Improves performance and speed.
Automated optimization: Reduces manual efforts.
Data visualization: Provides insightful visuals.
Collaborative features: Enhances teamwork.
Delta Lake performance: Boosts data management.
Seamless cluster management: Simplifies system operations.

What are the benefits or ROI to look for in Databricks reviews?

Efficiency in handling large datasets: Ensures smooth processing.
Interactive workspace environment: Improves user collaboration.
Integration with platforms: Provides connectivity benefits.
Performance optimization: Enhances overall system performance.
Support for data governance and security: Ensures data integrity and protection.

Databricks is implemented in insurance for risk analysis and claims processing; in retail for customer analytics and inventory management; in manufacturing for predictive maintenance and supply chain optimization; and in pharmaceuticals for drug discovery and patient data analysis. Users value its scalability, machine learning support, collaboration tools, and Delta Lake performance but seek improvements in visualization, pricing, and integration with BI tools.

Databricks

Integrated Corporate Performance Management software provides reliable data, insights, and guidance to everyone in your company. Jedox delivers it all: Self-service budgeting, planning, and forecasting combined with intuitive analytics and BI dashboards in one integrated software platform. Users across the enterprise in any department from Finance to Sales, HR, and Procurement create integrated plans and reports based on the same data model and business logic. Integrate financial planning and analysis with operational plans and reporting to optimize processes, boost data quality, and slash planning cycles throughout the organization.

Jedox

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware

BP, Fiat, Carrefour, Continental, Allianz, Bacardi, McDonald’s, Netafim, Swiss Post, Telstra, Suzuki, Vodafone, University of Western Australia, Unilever

Find out what your peers are saying about Snowflake Computing, Microsoft, Google and others in Cloud Data Warehouse. Updated: June 2025.

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