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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
8.2
Reviews Sentiment
6.4
Number of Reviews
90
Ranking in other categories
Data Virtualization (2nd), Embedded Database (4th), 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

"Some functions have good performance."
"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."
"What I like most are the dashboards and pervasive analytics."
"When we upgraded, we received more functions or more features."
"The product handles high volumes very well and provides good integration."
"Our operations have grown from a hundred data operations a day to as many in a couple of seconds."
"SAP HANA's interface is pretty user-friendly."
"All features are valuable."
"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."
"Spark SQL's efficiency in managing distributed data and its simplicity in expressing complex operations make it an essential part of our data pipeline."
"Data validation and ease of use are the most valuable features."
"Overall the solution is excellent."
"The stability was fine. It behaved as expected."
"The solution is easy to understand if you have basic knowledge of SQL commands."
"The performance is one of the most important features. It has an API to process the data in a functional manner."
"I find the Thrift connection valuable."
 

Cons

"The user interface and CRM need to be more user-friendly."
"The JDBC connectors are very slow."
"It could be a bit more scalable."
"I don't have direct access to SAP, and instead, I need to go through the SAP office in India."
"In terms of improvement, the speed is not as good as we thought it would be. That is why we are trying different solutions that will be built with different technologies."
"The initial setup of SAP HANA is complex. We did the implementation of one site, and a global deployment will take another three to four years."
"FI, or the financial module of SAP, has room for improvement. It has to have some better localization for the Middle East, especially in regards to taxes and the letter of credit cycle. I would like to see better localization from the HCM."
"Unlike other databases, it lacks management features that legacy databases like Oracle or SQL servers have. They need to make the solution easier to manage and offer tools that make management more effective. A lot of things you have on traditional databases you have to develop into HANA."
"The solution needs to include graphing capabilities. Including financial charts would help improve everything overall."
"This solution could be improved by adding monitoring and integration for the EMR."
"It takes a bit of time to get used to using this solution versus Pandas as it has a steep learning curve."
"In the next release, maybe the visualization of some command-line features could be added."
"In terms of improvement, the only thing that could be enhanced is the stability aspect of Spark SQL."
"It would be useful if Spark SQL integrated with some data visualization tools."
"SparkUI could have more advanced versions of the performance and the queries and all."
"It would be beneficial for aggregate functions to include a code block or toolbox that explains its calculations or supported conditional statements."
 

Pricing and Cost Advice

"The licensing could improve."
"While the cost of the license may seem high, it is important to note that the benefits of the solution far outweighs the cost."
"Setup and licensing require planning and proper budgeting, as it is not cheap."
"SAP HANA is an expensive product."
"The tool’s subscription is yearly."
"Set up a consortium of consulting partners and hardware vendors to define your tech. Landscape TCO (total cost of ownership) and then approach the OEM for pricing (on-premise or on cloud or a hybrid model). Check if you can bring your own licenses for some of the existing application licenses on the new platform, to reduce TCO."
"The pricing is a bit on the high side."
"The price of SAP HANA is very expensive and it is paid annually."
"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."
"We use the open-source version, so we do not have direct support from Apache."
"There is no license or subscription for this solution."
"The solution is bundled with Palantir Foundry at no extra charge."
"The solution is open-sourced and free."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Financial Services Firm
10%
Computer Software Company
9%
Government
7%
Financial Services Firm
18%
University
11%
Retailer
10%
Healthcare 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.
867,370 professionals have used our research since 2012.