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 861,524 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

"The tool helps with data processing and analytics with large-scale data or big data since it is associated with managing data at a large scale."

"The time travel feature is the solution's most valuable aspect."

"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."

"Databricks allows me to automate the creation of a cluster, optimized for machine learning and construct AI machine learning models for the client."

"We have the ability to scale, collaborate and do machine learning."

"I like cloud scalability and data access for any type of user."

"The setup is quite easy."

"Specifically for data science and data analytics purposes, it can handle large amounts of data in less time. I can compare it with Teradata. If a job takes five hours with Teradata databases, Databricks can complete it in around three to three and a half hours."

More Databricks pros

"The solution is very versatile."

"The Excel interface is designed to retrieve data from the database and send it back, which is a significant advantage."

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

"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 EPM is the most valuable feature."

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

"The ETL function simplifies many tasks."

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

More Jedox pros

Cons

"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."

"There is room for improvement in visualization."

"I have had some issues with some of the Spark clusters running on Databricks, where the Spark runtime and clusters go up and down, which is an area for improvement."

"The tool should improve its integration with other products."

"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."

"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."

"The API deployment and model deployment are not easy on the Databricks side."

"Support for Microsoft technology and the compatibility with the .NET framework is somewhat missing."

More Databricks cons

"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."

"I don't find it particularly user-friendly."

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

"There is not much training for Jedox."

"There is room for improvement in the scalability. It is a very massive tool. It's not easy to just build everything yourself."

"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 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."

More Jedox cons

Pricing and Cost Advice

"The licensing costs of Databricks depend on how many licenses we need, depending on which Databricks provides a lot of discounts."

"Databricks are not costly when compared with other solutions' prices."

"We only pay for the Azure compute behind the solution."

"The solution is affordable."

"I would rate the tool’s pricing an eight out of ten."

"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."

"I rate the price of Databricks as eight out of ten."

"The solution uses a pay-per-use model with an annual subscription fee or package. Typically this solution is used on a cloud platform, such as Azure or AWS, but more people are choosing Azure because the price is more reasonable."

More Databricks pricing and cost advice

"Excellent value for money."

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

"Jedox was a bit cheaper compared to Calumo."

"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."

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

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

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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...

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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

Dataiku vs Databricks

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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