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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
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

"This is a feature-rich product and I like all of them."
"Eases management of databases."
"The memory is the solution's most valuable feature. It's the main feature of HANA. Others are still the regular IT databases that are on storage and are therefore much slower than HANA. The solution is quite fast."
"The most valuable feature of SAP HANA is its performance and integration."
"We appreciate that the current, redesigned version of this solution that is much more straightforward for new users, and has been well thought out with industry best practice standards in mind."
"The product handles high volumes very well and provides good integration."
"The feature that I like the most is that we can transport the data to our web data application. SAP HANA's performance is really perfect. We're working on big data, and SAP HANA is really working on high performance. We are happy working with it."
"The solution is extremely stable. That's the most important aspect of the solution, for our organization. There is no downtime, and the performance is very good."
"The speed of getting data."
"I find the Thrift connection valuable."
"Overall the solution is excellent."
"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 stability was fine. It behaved as expected."
"The team members don't have to learn a new language and can implement complex tasks very easily using only SQL."
"Data validation and ease of use are the most valuable features."
"One of Spark SQL's most beautiful features is running parallel queries to go through enormous data."
 

Cons

"It's a complex initial setup."
"A documents preview could be helpful."
"SAP HANA is not perfect and they could improve by having more options and more integration."
"What needs improvement in SAP HANA is its automation, in particular, it needs more enhancements in that area."
"I would like to see improvement on the feedback from the road-map; it is currently extremely hard to get insight in this area."
"The surface side or Attack dashboard needs improvement because there are some gaps after sales services."
"I would like more technical documentation. I would like it to be easier to find online help or have a better launch-based service. SAP has a lot of functions, so we need more best practices and more detailed documentation on industry solutions. For example, it would be good to have documentation on why a certain process needs to be set up and which kinds of configurations need to be set up."
"The JDBC connectors are very slow."
"There should be better integration with other solutions."
"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."
"In terms of improvement, the only thing that could be enhanced is the stability aspect of Spark SQL."
"The solution needs to include graphing capabilities. Including financial charts would help improve everything overall."
"I've experienced some incompatibilities when using the Delta Lake format."
"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."
 

Pricing and Cost Advice

"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 cost of SAP HANA is high, and I would rate the price at eight out of ten."
"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."
"It is expensive."
"SAP HANA is very expensive for small to medium businesses."
"We are spending about 20,000 to 30,000 euros on 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 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 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."
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Top Industries

By visitors reading reviews
Manufacturing Company
15%
Computer Software Company
9%
Financial Services Firm
9%
Government
6%
Financial Services Firm
16%
Retailer
10%
University
9%
Manufacturing 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: July 2025.
864,053 professionals have used our research since 2012.