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Databricks vs SAP Analytics Cloud comparison

 

Comparison Buyer's Guide

Executive Summary

Review summaries and opinions

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

ROI

Sentiment score
6.4
Users experience mixed returns with Databricks, noting cost efficiency and scalability but facing challenges with measuring monetary gains.
Sentiment score
6.6
SAP Analytics Cloud boosts ROI by streamlining data automation and reporting, accelerating decision-making and improving business processes efficiently.
For a lot of different tasks, including machine learning, it is a nice solution.
Senior Data Engineer at a logistics company with 51-200 employees
When it comes to big data processing, I prefer Databricks over other solutions.
Head CEO at bizmetric
 

Customer Service

Sentiment score
7.0
Databricks customer service is praised for prompt, professional support, though some report delays; documentation helps many users.
Sentiment score
6.1
SAP Analytics Cloud support is generally responsive, but users desire quicker responses, more expertise, and improved training resources.
Whenever we reach out, they respond promptly.
Senior Data Engineer at a logistics company with 51-200 employees
As of now, we are raising issues and they are providing solutions without any problems.
Data Platform Architect at KELLANOVA
I rate the technical support as fine because they have levels of technical support available, especially partners who get really good support from Databricks on new features.
Data Engineer at CRAFT Tech
The technical support is a very well-organized service, with a lot of tools for me as a consultant and for the end user on how to contact SAP support and get issues solved.
Competence Leader - BI at Sabris CZ s.r.o.
We are satisfied with the technical support from SAP because when we reached out, we were able to get very good support from SAP colleagues.
Project Manager at a tech services company with 51-200 employees
I am satisfied with SAP's technical support team; they provide very good support.
BI Lead Consultant at Intercom Enterprises
 

Scalability Issues

Sentiment score
7.4
Databricks is praised for its scalability, elasticity, and auto-scaling, providing high performance and flexibility across industries.
Sentiment score
7.3
SAP Analytics Cloud is scalable and versatile, supporting large user bases while integrating well with other SAP products.
The sky's the limit with Databricks.
Governance And Engagement Lead
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
Senior Data Engineer at a logistics company with 51-200 employees
Databricks is an easily scalable platform.
Data Platform Architect at KELLANOVA
SAP Analytics Cloud can be used by a small company, and it can be used by a large corporate.
Competence Leader - BI at Sabris CZ s.r.o.
I would rate its scalability up to nine on a scale of one to ten.
Project Manager at a tech services company with 51-200 employees
 

Stability Issues

Sentiment score
7.6
Databricks is highly rated for reliability and efficiency, with minor issues quickly resolved, boasting strong user stability scores.
Sentiment score
7.4
SAP Analytics Cloud is stable and reliable, though minor connectivity and performance issues occur with large datasets and variable updates.
They release patches that sometimes break our code.
Senior Data Engineer at a logistics company with 51-200 employees
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
Data Platform Architect at KELLANOVA
Databricks is definitely a very stable product and reliable.
Data Engineer at a tech vendor with 1,001-5,000 employees
You have a chance to test it on your test tenant in small increments, so it should not break your productive reports and productive environment.
Competence Leader - BI at Sabris CZ s.r.o.
 

Room For Improvement

Databricks needs better visualization, integration, clearer errors, UI enhancements, wider platform support, and improved documentation and usability.
SAP Analytics Cloud users seek improved integration, compatibility, visualization, programming support, pricing, analytics, documentation, technical support, and interface design.
Adjusting features like worker nodes and node utilization during cluster creation could mitigate these failures.
Data Engineer at a engineering company with 1,001-5,000 employees
We prefer using a small to mid-sized cluster for many jobs to keep costs low, but this sometimes doesn't support our operations properly.
Senior Data Engineer at a logistics company with 51-200 employees
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Solution Architect at Mercedes-Benz AG
On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family.
Competence Leader - BI at Sabris CZ s.r.o.
Documentation-wise, we see some gaps when trying to connect different solutions.
Project Manager at a tech services company with 51-200 employees
 

Setup Cost

Databricks' pricing varies widely based on usage and data volume, making it cost-effective yet potentially expensive for large-scale use.
SAP Analytics Cloud is pricey but valuable for SAP integration, requiring careful cost analysis and license management.
It is not a cheap solution.
Data Platform Architect at KELLANOVA
I believe that in terms of credits for Databricks, we're spending between £15,000 and £20,000 a month.
Governance And Engagement Lead
 

Valuable Features

Databricks excels in ease of use, scalability, integration, and data governance, enhancing productivity and collaboration for data engineering.
SAP Analytics Cloud is valued for its predictive analytics, integration, user interface, AI features, and cost-effective comprehensive functionalities.
Databricks' capability to process data in parallel enhances data processing speed.
Data Engineer at a engineering company with 1,001-5,000 employees
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
Data Platform Architect at KELLANOVA
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
Data Engineer at CRAFT Tech
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
Project Manager at a tech services company with 51-200 employees
The capabilities of SAP Analytics Cloud that I consider the most valuable are that all three functionalities are in one tool.
Competence Leader - BI at Sabris CZ s.r.o.
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
92
Ranking in other categories
Cloud Data Warehouse (9th), Data Science Platforms (1st), Data Management Platforms (DMP) (5th), Streaming Analytics (1st)
SAP Analytics Cloud
Average Rating
8.0
Reviews Sentiment
7.1
Number of Reviews
72
Ranking in other categories
BI (Business Intelligence) Tools (4th), Predictive Analytics (2nd)
 

Mindshare comparison

While both are Business Intelligence solutions, they serve different purposes. Databricks is designed for Cloud Data Warehouse and holds a mindshare of 9.2%, up 6.7% compared to last year.
SAP Analytics Cloud, on the other hand, focuses on BI (Business Intelligence) Tools, holds 2.2% mindshare, down 4.8% since last year.
Cloud Data Warehouse Market Share Distribution
ProductMarket Share (%)
Databricks9.2%
Snowflake16.1%
Teradata8.5%
Other66.2%
Cloud Data Warehouse
BI (Business Intelligence) Tools Market Share Distribution
ProductMarket Share (%)
SAP Analytics Cloud2.2%
Microsoft Power BI9.4%
Tableau Enterprise6.7%
Other81.7%
BI (Business Intelligence) Tools
 

Featured Reviews

SimonRobinson - PeerSpot reviewer
Governance And Engagement Lead
Improved data governance has enabled sensitive data tracking but cost management still needs work
I believe we could improve Databricks integration with cloud service providers. The impact of our current integration has not been particularly good, and it's becoming very expensive for us. The inefficiencies in our implementation, such as not shutting down warehouses when they're not in use or reserving the right number of credits, have led to increased costs. We made several beginner mistakes, such as not taking advantage of incremental loading and running overly complicated queries all the time. We should be using ETL tools to help us instead of doing it directly in Databricks. We need more experienced professionals to manage Databricks effectively, as it's not as forgiving as other platforms such as Snowflake. I think introducing customer repositories would facilitate easier implementation with Databricks.
Pavlina Pankova - PeerSpot reviewer
Competence Leader - BI at Sabris CZ s.r.o.
Brings reporting, planning, and prediction together in one seamless workflow
I think the areas of SAP Analytics Cloud that could be improved or enhanced are mentioned by users or companies, and they would definitely mention the price in terms of planning licensing. From a consulting point of view, I don't see any major weaknesses. It is reasonably well-developed, and the perfect strength is that innovations are coming on a quarterly basis. It is slightly behind other tools in terms of the number of graphical outputs. Some tools have it faster, but every increment of innovations contains new features. On the other hand, it is perfectly fitting to the SAP environment, with seamless integration to all SAP modules, not only ERP but also SuccessFactors and other tools from the SAP family, for example, integrated business planning for the production planning. This is really a highlight compared to other tools.
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Top Industries

By visitors reading reviews
Financial Services Firm
18%
Manufacturing Company
9%
Computer Software Company
9%
Healthcare Company
6%
Manufacturing Company
18%
Financial Services Firm
8%
Retailer
7%
Computer Software Company
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business25
Midsize Enterprise12
Large Enterprise56
By reviewers
Company SizeCount
Small Business24
Midsize Enterprise13
Large Enterprise39
 

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 ...
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...
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...
Which would you choose - Tableau or SAP Analytics Cloud?
Tableau is easy to set up and maintain. In about a day it is possible for the entire platform to be deployed for use. This relatively short amount of time can make all the difference for companies ...
What do you like most about SAP Analytics Cloud?
In the data warehouse, you're free to make changes. You can make everything text, meaning it's always a string. Even numbers appear as text, giving you the flexibility to work with all columns.
What is your experience regarding pricing and costs for SAP Analytics Cloud?
I normally do not deal with the commercials, so I am not aware of the pricing part of it.
 

Also Known As

Databricks Unified Analytics, Databricks Unified Analytics Platform, Redash
SAP BusinessObjects Cloud
 

Overview

 

Sample Customers

Elsevier, MyFitnessPal, Sharethrough, Automatic Labs, Celtra, Radius Intelligence, Yesware
Live Oak Bank
Find out what your peers are saying about Snowflake Computing, Microsoft, Teradata and others in Cloud Data Warehouse. Updated: January 2026.
881,114 professionals have used our research since 2012.