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
8.2
Reviews Sentiment
6.4
Number of Reviews
89
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 performance is very, very good. It's one of the best aspects of the solution."
"The solution is stable."
"SAP HANA's interface is pretty user-friendly."
"The most valuable feature of SAP HANA is the interaction it provides with external suppliers and clients."
"SAP HANA's most valuable features are monitoring, reporting, and price and stock control."
"Using this solution has given us better details for reporting and analytics."
"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."
"The functionality is of the solution is very good."
"The speed of getting data."
"It is a stable solution."
"Offers a variety of methods to design queries and incorporates the regular SQL syntax within tasks."
"The team members don't have to learn a new language and can implement complex tasks very easily using only SQL."
"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 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."
 

Cons

"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."
"It could be a bit more scalable."
"One notable issue is the difficulty in finding consultants with experience in the SuccessFactors product, a human resource management tool part of SAP's cloud-based solutions. For example, learning the Oracle database is straightforward. You can easily go to the Oracle website, download the database, install it on your laptop, and access technical resources and books."
"The setup process and deployment process for SAP HANA is complex."
"The SAP HANA interface has room for improvement because it takes more work to manage than the Microsoft SQL Server interface."
"I don't have direct access to SAP, and instead, I need to go through the SAP office in India."
"The solution is very expensive for us."
"SAP HANA isn't user-friendly, and it's very hard to train newcomers to use it."
"There are many inconsistencies in syntax for the different querying tasks."
"There should be better integration with other solutions."
"Anything to improve the GUI would be helpful."
"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."
"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."
"It would be beneficial for aggregate functions to include a code block or toolbox that explains its calculations or supported conditional statements."
"SparkUI could have more advanced versions of the performance and the queries and all."
 

Pricing and Cost Advice

"I would rate the pricing of the solution a ten on ten. The pricing for on-prem SAP HANA is on a yearly basis and expensive. I am not aware of the actual pricing but it is based on 64 Gigabytes. For instance, if you consider $10,000 for 64 Gigabytes, then you can calculate the cost for Terabytes in case you have one. You will have to buy expensive hardware as well which is quite a lot."
"We pay for a maintenance license, and the licensing cost is high. In general, it is a very expensive solution."
"SAP HANA is very expensive for small to medium businesses."
"SAP HANA is an expensive product."
"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."
"While the cost of the license may seem high, it is important to note that the benefits of the solution far outweighs the cost."
"We are spending about 20,000 to 30,000 euros on the solution."
"The licensing cost for SAP HANA is approximately $200 per user per month."
"The solution is open-sourced and free."
"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."
"There is no license or subscription for this solution."
"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."
report
Use our free recommendation engine to learn which Hadoop solutions are best for your needs.
860,592 professionals have used our research since 2012.
 

Top Industries

By visitors reading reviews
Manufacturing Company
14%
Computer Software Company
10%
Financial Services Firm
10%
Government
6%
Financial Services Firm
18%
Computer Software Company
12%
Retailer
9%
Healthcare Company
8%
 

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.
860,592 professionals have used our research since 2012.