Databricks vs Jedox comparison

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Databricks Logo
27,412 views|17,316 comparisons
96% willing to recommend
Jedox Logo
1,041 views|777 comparisons
100% willing to recommend
Comparison Buyer's Guide
Executive Summary

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.
To learn more, read our detailed Data Science Platforms Report (Updated: May 2024).
772,679 professionals have used our research since 2012.
Featured Review
Quotes From Members
We asked business professionals to review the solutions they use.
Here are some excerpts of what they said:
Pros
"Databricks covers end-to-end data analytics workflow in one platform, this is the best feature of the solution.""A very valuable feature is the data processing, and the solution is specifically good at using the Spark ecosystem.""Databricks is a unified solution that we can use for streaming. It is supporting open source languages, which are cloud-agnostic. When I do database coding if any other tool has a similar language pack to Excel or SQL, I can use the same knowledge, limiting the need to learn new things. It supports a lot of Python libraries where I can use some very easily.""Databricks is a scalable solution. It is the largest advantage of the solution.""I like that Databricks is a unified platform that lets you do streaming and batch processing in the same place. You can do analytics, too. They have added something called Databricks SQL Analytics, allowing users to connect to the data lake to perform analytics. Databricks also will enable you to share your data securely. It integrates with your reporting system as well.""The solution is an impressive tool for data migration and integration.""The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.""Databricks is hosted on the cloud. It is very easy to collaborate with other team members who are working on it. It is production-ready code, and scheduling the jobs is easy."

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"The customer porting is the most valuable feature.""The ETL function simplifies many tasks.""We can configure and have complete freedom while creating solutions.""The main strength of Jedox lies in mastering the navigation, especially the Excel add-in.""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 ease of reporting is one of Jedox's most valuable features.""The Excel interface is designed to retrieve data from the database and send it back, which is a significant advantage.""The system is quite flexible. Based on our requirements, we create different cubes that can help us to do complete planning."

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Cons
"Scalability is an area with certain shortcomings. The solution's scalability needs improvement.""It's not easy to use, and they need a better UI.""I would like more integration with SQL for using data in different workspaces.""There are no direct connectors — they are very limited.""It would be great if Databricks could integrate all the cloud platforms.""Databricks would have more collaborative features than it has. It should have some more customization for the jobs.""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.""There should be better integration with other platforms."

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"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.""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.""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.""Online pixel-perfect reporting is an aspect that has room for improvement.""Jedox should improve the design and server issues.""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.""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."

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Pricing and Cost Advice
  • "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 do not exactly know the costs, but one of our clients pays between $100 USD and $200 USD monthly."
  • "Licensing on site I would counsel against, as on-site hardware issues tend to really delay and slow down delivery."
  • "We find Databricks to be very expensive, although this improved when we found out how to shut it down at night."
  • "The pricing depends on the usage itself."
  • "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 price is okay. It's competitive."
  • "Databricks uses a price-per-use model, where you can use as much compute as you need."
  • 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."
  • "We paid a one-time fee, which included product purchase, licensing, and first-time implementation. We are paying for the maintenance regularly."
  • "Excellent value for money."
  • "The solution's pricing is specific to your requirements."
  • "The product’s pricing will not be suitable for setting up a small solution."
  • "Jedox was a bit cheaper compared to Calumo."
  • More Jedox Pricing and Cost Advice →

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    Questions from the Community
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer: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… more »
    Top Answer:The ease of reporting is one of Jedox's most valuable features.
    Top Answer:The solution's pricing is specific to your requirements.
    Top Answer: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. The… more »
    Ranking
    1st
    Views
    27,412
    Comparisons
    17,316
    Reviews
    45
    Average Words per Review
    441
    Rating
    8.2
    Views
    1,041
    Comparisons
    777
    Reviews
    11
    Average Words per Review
    521
    Rating
    8.2
    Comparisons
    IBM Planning Analytics logo
    Compared 26% of the time.
    Microsoft Power BI logo
    Compared 26% of the time.
    Tableau logo
    Compared 13% of the time.
    Anaplan logo
    Compared 8% of the time.
    Oracle Hyperion logo
    Compared 6% of the time.
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    Jedox EPM
    Learn More
    Overview

    Databricks is an industry-leading data analytics platform which is a one-stop product for all data requirements. Databricks is made by the creators of Apache Spark, Delta Lake, ML Flow, and Koalas. It builds on these technologies to deliver a true lakehouse data architecture, making it a robust platform that is reliable, scalable, and fast. Databricks speeds up innovations by synthesizing storage, engineering, business operations, security, and data science.

    Databricks is integrated with Microsoft Azure, Amazon Web Services, and Google Cloud Platform. This enables users to easily manage a colossal amount of data and to continuously train and deploy machine learning models for AI applications. The platform handles all analytic deployments, ranging from ETL to models training and deployment.

    Databricks deciphers the complexities of processing data to empower data scientists, engineers, and analysts with a simple collaborative environment to run interactive and scheduled data analysis workloads. The program takes advantage of AI’s cost-effectivity, flexibility, and cloud storage.

    Databricks Key Features

    Some of Databricks key features include:

    • Cloud-native: Works well on any prominent cloud provider.
    • Data storage: Stores a broad range of data, including structured, unstructured, and streaming.
    • Self-governance: Built-in governance and security controls.
    • Flexibility: Flexible for small-scale jobs as well as running large-scale jobs like Big Data processing because it’s built from Spark and is specifically optimized for Cloud environments.
    • Data science tools: Production-ready data tooling, from engineering to BI, AI, and ML.
    • Familiar languages: While Databricks is Spark-based, it allows commonly used programming languages like R, SQL, Scala, and Python to be used.
    • Team sharing workspaces: Creates an environment that provides interactive workspaces for collaboration, which allow multiple members to collaborate for data model creation, machine learning, and data extraction.
    • Data source: Performs limitless Big Data analytics by connecting to Cloud providers AWS, Azure, and Google, as well as on-premises SQL servers, JSON and CSV.

    Reviews from Real Users

    Databricks stands out from its competitors for several reasons. Two striking features are its collaborative ability and its ability to streamline multiple programming languages.

    PeerSpot users take note of the advantages of these features. A Chief Research Officer in consumer goods writes, “We work with multiple people on notebooks and it enables us to work collaboratively in an easy way without having to worry about the infrastructure. I think the solution is very intuitive, very easy to use. And that's what you pay for.”

    A business intelligence coordinator in construction notes, “The capacity of use of the different types of coding is valuable. Databricks also has good performance because it is running in spark extra storage, meaning the performance and the capacity use different kinds of codes.”

    An Associate Manager who works in consultancy mentions, “The technology that allows us to write scripts within the solution is extremely beneficial. If I was, for example, able to script in SQL, R, Scala, Apache Spark, or Python, I would be able to use my knowledge to make a script in this solution. It is very user-friendly and you can also process the records and validation point of view. The ability to migrate from one environment to another is useful.”

    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.

    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
    Top Industries
    REVIEWERS
    Computer Software Company25%
    Financial Services Firm16%
    Retailer9%
    Manufacturing Company9%
    VISITORS READING REVIEWS
    Financial Services Firm15%
    Computer Software Company12%
    Manufacturing Company9%
    Healthcare Company6%
    VISITORS READING REVIEWS
    Computer Software Company19%
    Retailer11%
    Financial Services Firm7%
    Comms Service Provider6%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business46%
    Midsize Enterprise23%
    Large Enterprise31%
    VISITORS READING REVIEWS
    Small Business27%
    Midsize Enterprise16%
    Large Enterprise57%
    Buyer's Guide
    Data Science Platforms
    May 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: May 2024.
    772,679 professionals have used our research since 2012.

    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, Dremio and Microsoft Azure Machine Learning Studio, 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.