Try our new research platform with insights from 80,000+ expert users

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

"Technically it resembles Oracle, but as a somewhat lighter version."
"SAP HANA's most valuable features are monitoring, reporting, and price and stock control."
"The performance is very, very good. It's one of the best aspects of the solution."
"SAP HANA is a stable solution."
"We use SAP HANA for Master Data Governance."
"Probably the main feature is its in-memory database."
"SAP HANA's interface is pretty user-friendly."
"It is difficult for me to narrow down what the best features are in SAP HANA because they work together to provide the overall functionality of the solution. However, the Fiori application is very good."
"Spark SQL's efficiency in managing distributed data and its simplicity in expressing complex operations make it an essential part of our data pipeline."
"The performance is one of the most important features. It has an API to process the data in a functional manner."
"Data validation and ease of use are the most valuable features."
"Certain data sets that are very large are very difficult to process with Pandas and Python libraries. Spark SQL has helped us a lot with that."
"It is a stable solution."
"The solution is easy to understand if you have basic knowledge of SQL commands."
"I find the Thrift connection valuable."
"Offers a variety of methods to design queries and incorporates the regular SQL syntax within tasks."
 

Cons

"The documentation can be improved in the future."
"It could be a bit more scalable."
"The challenge right now is all databases are on S4 HANA architecture. You're running it for HANA, but not all the functionalities are available. If they can speed up getting all the databases on S4 HANA that would help."
"It is challenging to integrate it with third-party tools."
"A documents preview could be helpful."
"The pricing is expensive."
"The high price of the product is an area of concern where improvements are required."
"What needs improvement in SAP HANA is its automation, in particular, it needs more enhancements in that area."
"SparkUI could have more advanced versions of the performance and the queries and all."
"The solution needs to include graphing capabilities. Including financial charts would help improve everything overall."
"It would be useful if Spark SQL integrated with some data visualization tools."
"There should be better integration with other solutions."
"This solution could be improved by adding monitoring and integration for the EMR."
"In the next update, we'd like to see better performance for small points of data. It is possible but there are better tools that are faster and cheaper."
"Anything to improve the GUI would be helpful."
"It takes a bit of time to get used to using this solution versus Pandas as it has a steep learning curve."
 

Pricing and Cost Advice

"The solution's license is very expensive so I rate pricing a one out of ten."
"The licensing could improve."
"SAP HANA is affordable. I rate it a seven out of ten."
"The licensing cost for SAP HANA is approximately $200 per user per month."
"Price-wise, the product falls on the higher side of the spectrum. There is no need to pay for maintenance and support additionally. Support is available for bug fixes in the product."
"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."
"There is an annual payment needed to use the solution."
"It is expensive, which isn't a problem for us because SAP HANA is processing the data so fast."
"The solution is open-sourced and free."
"There is no license or subscription for this solution."
"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 use the open-source version, so we do not have direct support from Apache."
"The solution is bundled with Palantir Foundry at no extra charge."
"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."
report
Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
872,778 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
9%
Computer Software Company
8%
Comms Service Provider
7%
Financial Services Firm
16%
University
14%
Retailer
11%
Manufacturing Company
10%
 

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.
872,778 professionals have used our research since 2012.