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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
6.5
Databricks offers cost savings and scalability, empowering small teams to process large data efficiently, with variable cost-effectiveness in ingestion.
Sentiment score
7.7
SAP Analytics Cloud enhances ROI by streamlining business intelligence, simplifying reporting, and integrating with systems for quicker data-driven decisions.
For a lot of different tasks, including machine learning, it is a nice solution.
When it comes to big data processing, I prefer Databricks over other solutions.
 

Customer Service

Sentiment score
7.2
Databricks support is praised for responsiveness and expertise, though some experience slower responses due to Microsoft involvement.
Sentiment score
6.2
SAP Analytics Cloud's customer service is mixed, with praise for expertise but concerns about delays and technical assistance.
Whenever we reach out, they respond promptly.
As of now, we are raising issues and they are providing solutions without any problems.
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.
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.
 

Scalability Issues

Sentiment score
7.5
Databricks is scalable, efficient, offers real-time optimization, supports multiple clouds, but may require manual configurations.
Sentiment score
7.4
SAP Analytics Cloud is highly scalable, accommodating diverse needs, with some users noting excellent flexibility and performance with occasional issues.
Databricks is an easily scalable platform.
I would rate the scalability of this solution as very high, about nine out of ten.
The patches have sometimes caused issues leading to our jobs being paused for about six hours.
I would rate its scalability up to nine on a scale of one to ten.
 

Stability Issues

Sentiment score
7.7
Databricks is stable and reliable, with minor update issues, resolved bugs, and high user ratings for stability and performance.
Sentiment score
7.5
SAP Analytics Cloud is generally stable and secure, despite occasional connectivity and performance issues with large datasets.
Although it is too early to definitively state the platform's stability, we have not encountered any issues so far.
They release patches that sometimes break our code.
I would rate the stability of Databricks as highly stable, around nine out of ten.
 

Room For Improvement

Users seek improved visualization, platform integration, pricing, machine learning libraries, UI, documentation, and beginner-friendly, scalable management tools.
SAP Analytics Cloud needs better integration, visualization, and usability, with enhanced documentation, ML capabilities, and competitive pricing.
It would be beneficial to have utilities where code snippets are readily available.
They're now coming up with their IBI dashboard, and I think they're on the right track to improve that even further.
We use MLflow for managing MLOps, however, further improvement would be beneficial, especially for large language models and related tools.
Documentation-wise, we see some gaps when trying to connect different solutions.
 

Setup Cost

Databricks offers flexible pricing based on usage and volume, seen as expensive but cost-effective compared to competitors.
SAP Analytics Cloud is seen as costly, with subscription-based licensing and integration benefits, yet lacks competitive pricing.
 

Valuable Features

Databricks is valued for its scalable data transformation, Lakehouse architecture, rapid processing, integration, and versatile coding options.
SAP Analytics Cloud offers predictive analytics, seamless SAP integration, customization, user-friendly dashboards, and robust data handling with third-party connectivity.
Databricks' capability to process data in parallel enhances data processing speed.
The Unity Catalog is for data governance, and the Delta Lake is to build the lakehouse.
The platform allows us to leverage cloud advantages effectively, enhancing our AI and ML projects.
For SuccessFactors and S/4HANA Cloud, there are pre-built reports available which are commonly used by customers.
 

Categories and Ranking

Databricks
Average Rating
8.2
Reviews Sentiment
7.0
Number of Reviews
90
Ranking in other categories
Cloud Data Warehouse (7th), Data Science Platforms (1st), Streaming Analytics (1st)
SAP Analytics Cloud
Average Rating
8.0
Reviews Sentiment
7.4
Number of Reviews
70
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 8.8%, up 3.7% compared to last year.
SAP Analytics Cloud, on the other hand, focuses on BI (Business Intelligence) Tools, holds 4.3% mindshare, down 5.7% since last year.
Cloud Data Warehouse
BI (Business Intelligence) Tools
 

Featured Reviews

ShubhamSharma7 - PeerSpot reviewer
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.
RamasamyTelungupalayam - PeerSpot reviewer
Seamless integration, collaborative features, and enhances data exploration
There are several areas for improvement in SAP Analytics Cloud. Firstly, features available in SAP Lumira are missing in SAP Analytics Cloud. Secondly, the predictive analytics functions, although promising, are currently only suitable for Proof of Concepts (POCs) and not for industrial-scale use. Lastly, the pricing model for the planning functionality is quite high and presents an entry barrier.
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Top Industries

By visitors reading reviews
Financial Services Firm
17%
Computer Software Company
10%
Manufacturing Company
9%
Healthcare Company
6%
Manufacturing Company
19%
Computer Software Company
10%
Financial Services Firm
8%
Retailer
7%
 

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 ...
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
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