Azure Databricks vs. SAP Datasphere

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Azure Databricks
Score 8.7 out of 10
N/A
Azure Databricks is a service available on Microsoft's Azure platform and suite of products. It provides the latest versions of Apache Spark so users can integrate with open source libraries, or spin up clusters and build in a fully managed Apache Spark environment with the global scale and availability of Azure. Clusters are set up, configured, and fine-tuned to ensure reliability and performance without the need for monitoring. The solution includes autoscaling and auto-termination to improve…N/A
SAP Datasphere
Score 8.3 out of 10
N/A
SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data…N/A
Pricing
Azure DatabricksSAP Datasphere
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
Azure DatabricksSAP Datasphere
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsSAP Datasphere is available as a subscription or consumption-based model. The SAP Datasphere capacity unit (CU) offers an adaptable approach to pricing that enables any workload on any hyperscaler. The number of CUs required is determined by the unique workload, with the ability to tailor the combination of required services within SAP Datasphere utilizing a flexible tenant configuration. The services that contribute to CU consumption are the core application (compute and storage), data lake, BW bridge, data integration, and data catalog (crawling and storage).
More Pricing Information
Community Pulse
Azure DatabricksSAP Datasphere
Considered Both Products
Azure Databricks
Chose Azure Databricks
Against all the tools I have used, Azure Databricks is by far the most superior of them all! Why, you ask? The UI is modern, the features are never ending and they keep adding new features. And to quote Apple, "It just works!"
Far ahead of the competition, the delta lakehouse …
SAP Datasphere
Chose SAP Datasphere
SAP Data Intelligence, SAP Analytics Cloud, SAP BW/4HANA, SAP HANA Cloud, SAP Business Technology Platform and SAP Data Services
Chose SAP Datasphere
some features are better, other for e.g. big data analysis or ai cases not
Chose SAP Datasphere
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for …
Chose SAP Datasphere
Three main advantages:
1. cost effectiveness
2. Robust and data friendly environments from all sources
Chose SAP Datasphere
I am only going to talk about the visualizing and analytics part of SAP Datasphere because if I start listing what the whole SAP ecosystem provides, then it would not even be a comparison. In a summary, Google Analytics is high-level. Of course, the introduction of the new GA4 …
Chose SAP Datasphere
SAP Datasphere has robust backend integration tools that makes it easy to integrate non-SAP unlike alternatives such as Snowflake.
Chose SAP Datasphere
Cloud based is the future and will enable significant reduction in maintenance from SAP BW on prem solutions.
Chose SAP Datasphere
Scalability and effectiveness to handle large volumes of data while maintaining consistency with the applications. Excellent with data integrity by eliminating duplications. Magnificent with a collection of data from different sources to get trusted data for making decisions.
Chose SAP Datasphere
The Friendly interface that SAP offered was second to none. The Tracking and tracebility that was Integrated helped in configuring locations quite easily and while shifting of cargo it was never an issue. Distribution wise SKU segregation was never a problem and report …
Chose SAP Datasphere
DWC really allows no code model development and also integrates with a lot of data sources without additional tools as ETL
Chose SAP Datasphere
Compared to the SAP Business Warehouse, the DWC can be operated with the SAC in a cloud environment on the Business Technology Platform. Thus, a single point of entry or single point of truth is given in the DWC, and reporting in the SAC is possible. The complete corporate …
Chose SAP Datasphere
It is very easy and quick to develop.it has good and excellent self-service. The use of state art data platform is very easy and simple. It has a high-performance and scalable data warehouse. It accelerates time to value real-time. It gives data a new level of consumption.
Chose SAP Datasphere
It is user-friendly and has self-service tools. It has built-in capabilities such as a data lake. It backed integration capabilities. It gives data on a new level of consumption. It is easy and very quick to develop. It has a high-performance and scalable data warehouse.
Chose SAP Datasphere
Both tools are fairly the same, but we mainly focused on SAP Data Warehouse Cloud since we had a lot of SAP services that were simple to integrate with each other.
Features
Azure DatabricksSAP Datasphere
Platform Connectivity
Comparison of Platform Connectivity features of Product A and Product B
Azure Databricks
8.1
Ratings
3% below category average
SAP Datasphere
-
Ratings
Connect to Multiple Data Sources6.20 Ratings00 Ratings
Extend Existing Data Sources9.00 Ratings00 Ratings
Automatic Data Format Detection9.00 Ratings00 Ratings
MDM Integration8.00 Ratings00 Ratings
Data Exploration
Comparison of Data Exploration features of Product A and Product B
Azure Databricks
6.4
Ratings
27% below category average
SAP Datasphere
-
Ratings
Visualization5.90 Ratings00 Ratings
Interactive Data Analysis6.90 Ratings00 Ratings
Data Preparation
Comparison of Data Preparation features of Product A and Product B
Azure Databricks
8.0
Ratings
2% below category average
SAP Datasphere
-
Ratings
Interactive Data Cleaning and Enrichment7.00 Ratings00 Ratings
Data Transformations9.00 Ratings00 Ratings
Data Encryption9.00 Ratings00 Ratings
Built-in Processors7.10 Ratings00 Ratings
Platform Data Modeling
Comparison of Platform Data Modeling features of Product A and Product B
Azure Databricks
8.3
Ratings
1% below category average
SAP Datasphere
-
Ratings
Multiple Model Development Languages and Tools8.10 Ratings00 Ratings
Automated Machine Learning9.00 Ratings00 Ratings
Single platform for multiple model development8.00 Ratings00 Ratings
Self-Service Model Delivery8.00 Ratings00 Ratings
Model Deployment
Comparison of Model Deployment features of Product A and Product B
Azure Databricks
8.5
Ratings
0% below category average
SAP Datasphere
-
Ratings
Flexible Model Publishing Options8.00 Ratings00 Ratings
Security, Governance, and Cost Controls9.00 Ratings00 Ratings
Best Alternatives
Azure DatabricksSAP Datasphere
Small Businesses
Jupyter Notebook
Jupyter Notebook
Score 9.4 out of 10
Google BigQuery
Google BigQuery
Score 8.4 out of 10
Medium-sized Companies
Posit
Posit
Score 10.0 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
Enterprises
Posit
Posit
Score 10.0 out of 10
Snowflake
Snowflake
Score 8.9 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Azure DatabricksSAP Datasphere
Likelihood to Recommend
9.8
(0 ratings)
8.5
(0 ratings)
Usability
8.0
(0 ratings)
7.7
(0 ratings)
Support Rating
-
(0 ratings)
9.0
(0 ratings)
User Testimonials
Azure DatabricksSAP Datasphere
Likelihood to Recommend
Having access to all databases and tables in one place is what has helped me and my team to function better. The in built functionality/access to SQL and Python is definitely an added bonus! The icing on the cake is the ability to export your data into an Excel spreadsheet for additional analysis. If you have less to no working knowledge of SQL or Python, its better to look at alternatives.
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SAP is best suited for large global corporations. It is a very complex software and is difficult to come by individuals who have sufficient enough knowledge to master the product. Globally our company only has 1 person to support us in IT for SAP. It is great if you use a more complex web host such as SFCC as you can make connections to SAP for returns, inventory, price updates, etc.
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Pros
  • Consistently great performance when dealing with huge scale data with the help of spark architecture
  • Magic commands such as spark sql, pyspark, scala . This comes really handy in day to day work
  • Integration with other Azure services is super smooth and robust
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  • SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
  • Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
  • Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.
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Cons
  • Intuitive interface
  • Ease of use
  • Providing FAQ or QRGs
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  • SAP Data Warehouse Cloud is quite complex, therefore, some extra orientation or training might be essential, more so on cloud.
  • Secondly, SAP Data installation fee, and the monthly subscription amounts is slightly demanding, and the developer should refocus on changing them.
  • Nonetheless, SAP Data rectified other challenges like flexibility and customization, making us happy clients.
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Usability
Based on my extensive use of Azure Databricks for the past 3.5 years, it has evolved into a beautiful amalgamation of all the data domains and needs. From a data analyst, to a data engineer, to a data scientist, it jas got them all! Being language agnostic and focused on easy to use UI based control, it is a dream to use for every Data related personnel across all experience levels!
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It is one of the best tools and a boon to Logistics teams across the globe. One tends to actually process warehousing data so smoothly and the way demonstration is made while in programs it makes it user friendly. The Inventory touch points that one identify is simply awesome and is best part.
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Support Rating
No answers on this topic
I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.
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Alternatives Considered
Against all the tools I have used, Azure Databricks is by far the most superior of them all! Why, you ask? The UI is modern, the features are never ending and they keep adding new features. And to quote Apple, "It just works!" Far ahead of the competition, the delta lakehouse platform also fares better than it counterparts of Iceberg implementation or a loosely bound Delta Lake implementation of Synapse
Read full review
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.
Read full review
Return on Investment
  • The support team is amazing, they help you at every stage of the projects, from sales to delivery.
  • On a framework level, it has had an amazing impact and has reduced the clients overall data platform costs by a staggering 65%
  • There has been a 40% Manual work requirement on average for the clients when they move to Azure Databricks Data Platform
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  • Enhanced our report generation process due to presence of holistic data.
  • Centralized data from all our platforms. This has helped us visualize and analyze all data much more efficiently.
  • It is more on the expensive side from both cost and training perspective.
Read full review
ScreenShots