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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
6.5
Number of Reviews
88
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

"The feature I found most valuable in SAP HANA is modeling. I also like that the solution has good integration and you can integrate it with any system, even third-party systems."
"Our operations have grown from a hundred data operations a day to as many in a couple of seconds."
"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 in-memory computing and the efficient response time are very good features."
"The most value for us was in terms of using it to issue tenders online. We host our server, but it is open to the public, so clients who want to buy those tenders were able to go online, put their tender documents up, and we could evaluate them using SAP."
"It's very convenient and very innovative."
"The in-memory database is excellent."
"The most valuable feature of SAP HANA is its performance and integration."
"Overall the solution is excellent."
"One of Spark SQL's most beautiful features is running parallel queries to go through enormous data."
"This solution is useful to leverage within a distributed ecosystem."
"The performance is one of the most important features. It has an API to process the data in a functional manner."
"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 solution is easy to understand if you have basic knowledge of SQL commands."
"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."
"The team members don't have to learn a new language and can implement complex tasks very easily using only SQL."
 

Cons

"While SAP HANA is good, it would be better if it comes at a more affordable price."
"When we are using SAP HANA we have some difficulty with the customization. We would like to be able to add and make customized menus."
"The documentation can be improved in the future."
"The pricing could be better."
"The initial setup was very, very complex, tedious, and costly and required someone with great expertise to complete it."
"It would be nice to know when SAP plans to stop its maintenance of a previous version of SAP ECC ERP because, at this point, anyone utilizing SAP will have no choice but to go on S/4HANA Database."
"I would have rated the solution higher if this version was not missing some key features the newer version has."
"The main issue is the ecosystem, which lacks the widespread support that SQL enjoys."
"It would be beneficial for aggregate functions to include a code block or toolbox that explains its calculations or supported conditional statements."
"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."
"It would be useful if Spark SQL integrated with some data visualization tools."
"There are many inconsistencies in syntax for the different querying tasks."
"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."
"SparkUI could have more advanced versions of the performance and the queries and all."
"In terms of improvement, the only thing that could be enhanced is the stability aspect of Spark SQL."
 

Pricing and Cost Advice

"The price is high and could be a bit cheaper."
"The tool’s subscription is yearly."
"The price of SAP HANA is very expensive and it is paid annually."
"The price of licensing is dependent on the size of the project, however, we have found that there is scope to negotiate the cost. If the solution is implemented on-premises there may be some extra costs for hosting etc."
"Its licensing is expensive for SMEs and large enterprises alike."
"There is an annual license to use SAP HANA."
"The price is on the expensive side, at eight out of ten, with ten being expensive."
"SAP HANA is expensive, but unfortunately, we do not have any alternatives."
"The solution is open-sourced and free."
"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."
"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."
"There is no license or subscription for this solution."
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Computer Software Company
11%
Financial Services Firm
10%
Government
6%
Financial Services Firm
18%
Computer Software Company
14%
Retailer
10%
Healthcare Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

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 is your experience regarding pricing and costs for Spark SQL?
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.
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 ...
 

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: June 2025.
856,873 professionals have used our research since 2012.