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SAP HANA vs Spark SQL 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:
 

Categories and Ranking

SAP HANA
Average Rating
8.4
Reviews Sentiment
6.4
Number of Reviews
91
Ranking in other categories
Data Virtualization (2nd), Embedded Database (3rd), Relational Databases Tools (3rd)
Spark SQL
Average Rating
7.8
Reviews Sentiment
7.6
Number of Reviews
14
Ranking in other categories
Hadoop (5th)
 

Featured Reviews

Dhiraj Jankar - PeerSpot reviewer
Users appreciate the mix of in-memory architecture and ease of backend management
The most valuable SAP HANA features are that, compared to Oracle, there is less administrative work and less complex work to handle, making it very straightforward. The tool itself takes care of the backend work. The main benefits SAP HANA provides to users include its architecture, which combines both column store and row store capabilities. Some places find the row feature important, whereas others find column store important. It allows some tables to be stored in a column base, others in a row base, and the In-Memory functionalities are mostly the highlight of SAP HANA, especially compared to disk-based memory users. This was the main reason SAP HANA was introduced initially.
SurjitChoudhury - PeerSpot reviewer
Offers the flexibility to handle large-scale data processing
My experience with the initial setup of Spark SQL was relatively smooth. Understanding the system wasn't overly difficult because the data was structured in databases, and we could use notebooks for coding in Python or Java. Configuring networks and running scripts to load data into the database were routine tasks that didn't pose significant challenges. The flexibility to use different languages for coding and the ability to process data using key-value pairs in Python made the setup adaptable. Once we received the source data, processing it in SparkSQL involved writing scripts to create dimension and fact tables, which became a standard part of our workflow. Setting up Spark SQL was reasonably quick, but sometimes we face performance issues, especially during data loading into the SQL Server data warehouse. Sequencing notebooks for efficient job runs is crucial, and managing complex tasks with multiple notebooks requires careful tracking. Exploring ways to optimize this process could be beneficial. However, once you are familiar with the database architecture and project tools, understanding and adapting to the system become more straightforward.

Quotes from Members

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

Pros

"The product handles high volumes very well and provides good integration."
"We like that the product is both vertically and horizontally scalable, allowing us to do around 86 percent compression of documentation from 50 to seven terabytes."
"SAP HANA's best features are its programmability and extensibility - you can size and shape the software however you need."
"What's most valuable in SAP HANA is that it covers the business process systems of my company. The solution also helps because it makes almost everything automated. Another valuable feature of SAP HANA is that it can be integrated with third parties and other enhancements needed by the company."
"It's very convenient and very innovative."
"This is a feature-rich product and I like all of them."
"The functionality is of the solution is very good."
"The in-memory computing and the efficient response time are very good features."
"The solution is easy to understand if you have basic knowledge of SQL commands."
"Overall the solution is excellent."
"Data validation and ease of use are the most valuable features."
"It is a stable solution."
"The team members don't have to learn a new language and can implement complex tasks very easily using only SQL."
"The performance is one of the most important features. It has an API to process the data in a functional manner."
"One of Spark SQL's most beautiful features is running parallel queries to go through enormous data."
"The stability was fine. It behaved as expected."
 

Cons

"The initial setup was pretty complex, considering the enormous amount of data they had from an Oracle ERP."
"The product lacks some flexibility in its settings and configurations."
"You cannot apply mulit-join inside the calculation views, for example, when you are joining tables."
"It's a complex initial setup."
"What needs improvement in SAP HANA is its automation, in particular, it needs more enhancements in that area."
"SAP HANA isn't user-friendly, and it's very hard to train newcomers to use it."
"The setup process and deployment process for SAP HANA is complex."
"The inclusion of a well-performing Time Machine is vital."
"It would be useful if Spark SQL integrated with some data visualization tools."
"Being a new user, I am not able to find out how to partition it correctly. I probably need more information or knowledge. In other database solutions, you can easily optimize all partitions. I haven't found a quicker way to do that in Spark SQL. It would be good if you don't need a partition here, and the system automatically partitions in the best way. They can also provide more educational resources for new users."
"Anything to improve the GUI would be helpful."
"This solution could be improved by adding monitoring and integration for the EMR."
"In the next release, maybe the visualization of some command-line features could be added."
"The solution needs to include graphing capabilities. Including financial charts would help improve everything overall."
"There should be better integration with other solutions."
"SparkUI could have more advanced versions of the performance and the queries and all."
 

Pricing and Cost Advice

"A monthly or yearly license must be purchased, although its utility will be based on the cost-benefit analysis that is reached by the individual customer."
"The price of SAP HANA is very expensive and it is paid annually."
"The tool is expensive compared to other products, like Oracle R or Microsoft, but it offers a range of all the company's functions."
"The licensing cost for SAP HANA is approximately $200 per user per month."
"The price is high and could be a bit cheaper."
"While the cost of the license may seem high, it is important to note that the benefits of the solution far outweighs the cost."
"The pricing for SAP HANA is high. You pay a lot for the license, and you also have to pay for some add-ons."
"We pay annually for the license of the solution."
"The solution is bundled with Palantir Foundry at no extra charge."
"The on-premise solution is quite expensive in terms of hardware, setting up the cluster, memory, hardware and resources. It depends on the use case, but in our case with a shared cluster which is quite large, it is quite expensive."
"We don't have to pay for licenses with this solution because we are working in a small market, and we rely on open-source because the budgets of projects are very small."
"There is no license or subscription for this solution."
"The solution is open-sourced and free."
"We use the open-source version, so we do not have direct support from Apache."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
9%
Computer Software Company
9%
Comms Service Provider
6%
Financial Services Firm
17%
University
12%
Retailer
11%
Manufacturing Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise11
Large Enterprise61
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise5
Large Enterprise4
 

Questions from the Community

What are the biggest benefits of using SAP HANA?
Based on my work with SAP HANA, the biggest benefit that it can bring to your business is total data management. This product is by SAP - a company that serves almost all needs a client may have co...
Is SAP HANA’s customer and technical support reliable?
We have been using SAP HANA for a fairly short period of time and have only taken advantage of their customer support. So far, we have not had issues that required specialized help from technical s...
Is SAP HANA difficult to set up and start using?
SAP HANA is fairly easy to set up, however, I do not think a complete beginner can do it. You certainly need some preparation - either you need to have experience with similar solutions, or with ot...
What do you like most about Spark SQL?
Spark SQL's efficiency in managing distributed data and its simplicity in expressing complex operations make it an essential part of our data pipeline.
What needs improvement with Spark SQL?
In terms of improvement, the only thing that could be enhanced is the stability aspect of Spark SQL. There could be additional features that I haven't explored but the current solution for working ...
What is your primary use case for Spark SQL?
I employ Spark SQL for various tasks. Initially, I gathered data from databases, SAP systems, and external sources via SFTP, storing it in blob storage. Using Spark SQL within Jupyter notebooks, I ...
 

Comparisons

 

Also Known As

SAP High-Performance Analytic Appliance, HANA
No data available
 

Overview

 

Sample Customers

Unilever, NHS 24, adidas Group, CHIO Aachen, Hamburg Port Authority (HPA), Bangkok Airways Public Company Limited
UC Berkeley AMPLab, Amazon, Alibaba Taobao, Kenshoo, Hitachi Solutions
Find out what your peers are saying about SAP HANA vs. Spark SQL and other solutions. Updated: September 2025.
868,759 professionals have used our research since 2012.