Databricks vs SAP BusinessObjects Business Intelligence Platform comparison

Cancel
You must select at least 2 products to compare!
Comparison Buyer's Guide
Executive Summary

We performed a comparison between Databricks and SAP BusinessObjects Business Intelligence Platform 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: April 2024).
770,616 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
"The most valuable feature of Databricks is the notebook, data factory, and ease of use.""The most valuable feature of Databricks is the integration with Microsoft Azure.""The processing capacity is tremendous in the database.""Databricks' most valuable feature is the data transformation through PySpark.""We have the ability to scale, collaborate and do machine learning.""Can cut across the entire ecosystem of open source technology to give an extra level of getting the transformatory process of the data.""The fast data loading process and data storage capabilities are great.""The ability to stream data and the windowing feature are valuable."

More Databricks Pros →

"The web intelligence reporting tool and universe designer are the most valuable aspects of the solution.""One of the most valuable features of SAP BusinessObjects is that it's not a dashboarding solution. It's a real product. You can create operational reports and publish it to anyone. You can create schedules. You can create a Universe, semantic layers. There's also a security configuration. It's a huge product, so if there is a business need, SAP BusinessObjects can cover it.""The feature that allows pivot users to create the report dashboards and run them when they want with a lot of flexibility with the drill-downs is very useful. The drill-down features are very good because, in other solutions, such as Excel, you have to create separate pivot tables and a lot of other operations to do drill-downs. SAP BusinessObjects Business Intelligence Platform tool does the drill-downs automatically. Overall the solution is user-friendly and has a lot of drag and drop features.""Through the use of Business Intelligence reporting and scheduling features, reports are generated and automatically sent according to a schedule. This has freed up countless hours spent performing the same tasks, month over month.""The initial setup of SAP BusinessObjects Business Intelligence Platform was easy since the solution is user-friendly.""The development using SAP BusinessObjects Business Intelligence Platform is very good.""The ability to merge dimensions in a report is great.""It is solid and stable."

More SAP BusinessObjects Business Intelligence Platform Pros →

Cons
"This solution only supports queries in SQL and Python, which is a bit limiting.""The integration features could be more interesting, more involved.""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 would also be benefits if more options were available for workers, or the clusters of the two points.""The solution could be improved by integrating it with data packets. Right now, the load tables provide a function, like team collaboration. Still, it's unclear as to if there's a function to create different branches and/or more branches. Our team had used data packets before, however, I feel it's difficult to integrate the current with the previous data packets.""The product cannot be integrated with a popular coding IDE.""CI/CD needs additional leverage and support.""It would be great if Databricks could integrate all the cloud platforms."

More Databricks Cons →

"The dashboard tool is called Lumira and it is very uncomfortable for developers to use. They should improve this in the future.""SAP BusinessObjects Business Intelligence Platform is an outdated solution that is missing many features.""Over the years, the product tends to rename and rebrand itself and change its direction. This is a deficit of the solution.""There is still a lot to be done on the mobile side to make Web Intelligence truly seamless between the desktop and mobile versions and I would like to see SAP pay a lot more attention to this.""The calculation engine requires some improvement.""I really want SAP to focus on the dashboarding side. Based on what I have seen in the past 10 years, dashboarding has captured a lot of markets. Executives at the top-level want data that is summarized, looks good, and tells you a story. That's where Tableau, Qlik, and Power BI have an upper edge. It doesn't mean SAP doesn't give you dashboarding. They do have a dashboarding solution, but Tableau, Qlik, and Power BI are more intuitive and more attractive. I would like SAP to capture the dashboarding market as well, wherein they give at least some competition to other competitors. Presently, Tableau, Qlik, and Power BI are leading the market.""We would like to see a native version of BusinessObjects and Web Intelligence created for the cloud.""There is room for improvement in providing more user-friendly and versatile reporting options."

More SAP BusinessObjects Business Intelligence Platform Cons →

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 →

  • "Just work with SAP to make sure you have enough licenses but don't go overboard."
  • "​It is not an expensive platform. The licensing is for a package of users starting at 10 users."
  • "It has an option of a Cloud Platform (SAP Analytics Cloud) which has a lower price than the on-premise platform, and you can buy individual licences per user.​"
  • "Depending on your size, try to stick with SAP BusinessObjects BI Edge. Most people tend to overthink the licensing. Remember that one concurrent user means that one person can be performing a task at a given time. That does not mean that only one user can be on the system at a time, it means that only one person can be refreshing a report or designing a dashboard. There are tons of ways you can access your data or reports without consuming a license. I've seen cases where five concurrent licenses support thousands of users."
  • "There's no additional charge for a Development environment license, so build an additional development server."
  • "Its price is fair."
  • "It is not cost-effective. It is expensive."
  • "I have always found SAP BI to be expensive. It is expensive even when you compare SAP BI Cloud with Microsoft Power BI. Power BI is probably around $9.99 per month, and the cheapest SAP BI is around $20, which is double. In terms of price, Power BI is definitely a lot better. If you have budget issues, you may want to go for Power BI."
  • More SAP BusinessObjects Business Intelligence Platform Pricing and Cost Advice →

    report
    Use our free recommendation engine to learn which Data Science Platforms solutions are best for your needs.
    770,616 professionals have used our research since 2012.
    Comparison Review
    Anonymous User
    A quick look at the whole idea on another weblogs gives you a sense that all of them just talked about very brief things like report refresh feature in BO or cube feature in MS Analysis Service. I choose MS BI and I want to share my reasons and opinions on why I choose it and give you another quick but a little deeper compare on these two BI platforms. As we all know both Business Objects and Microsoft are big companies who are working on BI solutions and both have their own advantages. It’s not true to compare them in term of which one is better, we have to check what is our requirements and then depend on requirements take the decision whether MS or BO. A vision like this could help us relief from religious decisions against a software or technology. In a BI architect first of all we have the data store level, I mean the storage of the raw data not the stage or olap cubes or universe data source, I mean the first place of our data. This is important to know that where your raw data is and what is the type of storage used to store them. Whether file system or Access or Fox database or a complex database solution like oracle, sqlserver or a web service can made our place of raw data. We have to check our tools against them; check to see which one gives us a smooth way to transfer them among ETL process to destination. So take a look at what Business Objects gives us. There is a Data Integration platform in Business objects but the problem is that you have to buy that… Read more →
    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:There are many...It would rather depend what System BI architecture or Enterprise legacy you have at your end...I would recommend as follows:  1) If you have legacies of SAP, Oracle  - look for SAP… more »
    Top Answer:Both tools have their positives and negatives. First, I should mention that I am relatively new to Tableau. I have been working on and off Tableau for about a year, but getting to work on it… more »
    Top Answer:What I like the most about SAP BusinessObjects BI Platform is that it has significantly improved our decision-making process.
    Ranking
    1st
    Views
    28,492
    Comparisons
    18,008
    Reviews
    47
    Average Words per Review
    441
    Rating
    8.3
    Views
    8,659
    Comparisons
    6,737
    Reviews
    15
    Average Words per Review
    562
    Rating
    7.9
    Comparisons
    Also Known As
    Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
    SAP BusinessObjects BI Platform, SAP BusinessObjects, Business Objects
    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.”

    SAP BusinessObjects Business Intelligence Platform is a versatile and flexible solution for reporting and dashboards, focusing on analytics and ad hoc reporting. It can be deployed on-premise or in the cloud. The solution includes tools such as Web Intelligence, Crystal Reports, SAP Lumira, and Analytical Cloud and is primarily used for comprehensive business intelligence reporting.

    The most valuable features include excellent reporting features, good technical support, scalability, and the ability to translate database data into business language. The solution has helped organizations by providing analytics, monitoring KPIs, and making important decisions as a financial business.

    SAP BusinessObjects Business Intelligence Key Features

    • Central management: Access all your BI from a single, central launchpad that can be customized to meet user-specific needs. The launchpad provides business users with access to all their BI tools, reports, notifications, and applications in a single place. This includes the ability to launch SAP Analytics Cloud.

    • Data visualization and analytics: Create powerful visualizations, dashboards, and applications to assess risk, improve efficiency, identify opportunities, and enable users to analyze developments and data. Business insights can be shared with colleagues across enterprises.

    • Integration with Microsoft Office: Integrate with SAP Business Warehouse and SAP HANA to power real-time analytics. For large-scale data analysis, you can integrate with Microsoft Excel to discover in-depth business insights and forecasts. Data analytics information can also be embedded into Microsoft PowerPoint presentations.

    • Cloud support: Extend and expand your BI on the cloud. SAP Analytics Cloud connects your BI to the cloud and offers enterprise planning and advanced analytics from a single online solution.

    Reviews from Real Users

    SAP BusinessObjects BI stands out among its competitors for a number of reasons. Several major ones are its user-friendly dashboard, its impressive reporting and analytic features, and its ability to integrate with multiple solutions.

    A managing partner at a tech services company writes, "One of the most valuable features of SAP BusinessObjects is that it's not a dashboarding solution. It's a real product. You can create operational reports and publish it to anyone. You can create schedules. You can create a Universe, semantic layers. There's also a security configuration. It's a huge product, so if there is a business need, SAP BusinessObjects can cover it."

    An associate manager at a consultancy notes, "It provides flexibility for creating reports. It is very good for creating highly complex reports. I like this solution because when I buy BusinessObjects, it comes with many components, such as reporting, dashboard, and data visualization tools. Its performance is good. It is running on top of SAP BW and SAP HANA."

    A manager of data analytics and interfaces at a healthcare company says, "It has got great flexibility. As a reporting tool, it has a great deal of flexibility for numerous data resources that you can bring into it. It allows you to write your SQL query directly within the product. It has great visualization. 

    Sample Customers
    Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
    SRAM, Kennametal, Fairfax Water, British American Tobacco, Velux, and FedEx.
    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%
    REVIEWERS
    Manufacturing Company20%
    Healthcare Company11%
    Energy/Utilities Company9%
    Insurance Company7%
    VISITORS READING REVIEWS
    Financial Services Firm14%
    Computer Software Company11%
    Manufacturing Company9%
    Government8%
    Company Size
    REVIEWERS
    Small Business27%
    Midsize Enterprise14%
    Large Enterprise59%
    VISITORS READING REVIEWS
    Small Business17%
    Midsize Enterprise11%
    Large Enterprise71%
    REVIEWERS
    Small Business29%
    Midsize Enterprise16%
    Large Enterprise56%
    VISITORS READING REVIEWS
    Small Business18%
    Midsize Enterprise10%
    Large Enterprise71%
    Buyer's Guide
    Data Science Platforms
    April 2024
    Find out what your peers are saying about Databricks, Microsoft, Alteryx and others in Data Science Platforms. Updated: April 2024.
    770,616 professionals have used our research since 2012.

    Databricks is ranked 1st in Data Science Platforms with 78 reviews while SAP BusinessObjects Business Intelligence Platform is ranked 6th in BI (Business Intelligence) Tools with 103 reviews. Databricks is rated 8.2, while SAP BusinessObjects Business Intelligence Platform is rated 7.8. 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 SAP BusinessObjects Business Intelligence Platform writes "Web intelligence will work with any amount of data even if you have 10 million rows". Databricks is most compared with Amazon SageMaker, Informatica PowerCenter, Dataiku Data Science Studio, Microsoft Azure Machine Learning Studio and Dremio, whereas SAP BusinessObjects Business Intelligence Platform is most compared with SAP Analytics Cloud, Microsoft Power BI, Oracle OBIEE, IBM Cognos and Amazon QuickSight.

    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.