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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
6.3
Number of Reviews
93
Ranking in other categories
Data Virtualization (2nd), Embedded Database (2nd), Relational Databases Tools (3rd), Database Management Systems (DBMS) (3rd)
Spark SQL
Average Rating
7.8
Reviews Sentiment
7.6
Number of Reviews
15
Ranking in other categories
Hadoop (5th)
 

Featured Reviews

HP
SAP Analytics Lead at Miracle Software Systems, Inc
Performs well with high database and reporting performance
We face difficulties replicating the AC DOCA table, which is a huge table, from S/4HANA to SAP HANA BAS, Business Application Studio, or HANA Studio using SLT. For developing Power BI reports using the AC DOCA table, we are replicating full data daily. We want to implement delta load, and while we used OData service for one client, the delta OData service link is not properly updating delta records. Licensing costs with SAP HANA are very high. Due to high pricing, many clients are moving from BW on SAP HANA and S/4HANA to Azure SQL. I have worked with several clients who have moved all data flows to Azure and developed Power BI queries on top of Azure. Many clients are also using Google Cloud Platform (GCP). The certification costs are also very high, more than ₹1,40,000 INR. Previously, it was ₹30,000 to ₹40,000. I want to pursue three certifications but am unable to do so due to the cost.
Kemal Duman - PeerSpot reviewer
Team Lead, Data Engineering at Nesine.com
Data pipelines have run faster and support flexible batch and streaming transformations
We do not have any performance problems, but we do have some resource problems. Spark SQL consumes so many resources that we migrated our streaming job from Spark to Apache Flink. Resource management in Spark SQL should be better. It consumes more resources, which is normal. The main reason we switched from Spark is memory and CPU consumption. The major reason is the resource problem because the number of streaming jobs has been increasing in our company. That is why we considered resource management as a priority. Because of the resource consumption, I would say the development of Spark SQL is better. For development purposes, it is a top product and not difficult to work with, but resources are the major problem. We changed to Flink regardless of development time. Development time is less in Spark compared with Flink.

Quotes from Members

We asked business professionals to review the solutions they use. Here are some excerpts of what they said:
 

Pros

"The tool is an in-memory database that stores and retrieves data very quickly. This speed makes it faster to use and maintain data, as no additional processes move data between memory and disk."
"The benefits include high database loading performance, superior reporting performance, and ease of use."
"SAP HANA is one of the best databases known for its performance...The new version of the solution is stable."
"It is very flexible to integrate with SaaS components."
"The user interface is very good. You can do any kind of reporting analytics from the platform."
"The most valuable feature of SAP HANA is its performance and integration."
"SAP HANA's most valuable features are monitoring, reporting, and price and stock control."
"We use SAP HANA for Master Data Governance."
"The team members don't have to learn a new language and can implement complex tasks very easily using only SQL."
"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."
"Offers a variety of methods to design queries and incorporates the regular SQL syntax within tasks."
"I find the Thrift connection valuable."
"The stability was fine. It behaved as expected."
"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."
"The speed of getting data."
 

Cons

"Uses a large amount of RAM and is costly."
"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."
"Licensing costs with SAP HANA are very high. Due to high pricing, many clients are moving from BW on SAP HANA and S/4HANA to Azure SQL."
"The product is very demanding on memory requirements."
"SAP HANA isn't user-friendly, and it's very hard to train newcomers to use it."
"SAP HANA is not perfect and they could improve by having more options and more integration."
"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."
"It's a complex initial setup."
"There are many inconsistencies in syntax for the different querying tasks."
"It would be useful if Spark SQL integrated with some data visualization tools."
"There should be better integration with other solutions."
"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 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."
"SparkUI could have more advanced versions of the performance and the queries and all."
"In the next release, maybe the visualization of some command-line features could be added."
"This solution could be improved by adding monitoring and integration for the EMR."
 

Pricing and Cost Advice

"SAP HANA is more expensive than other solutions."
"There is an annual payment needed to use the solution."
"The solution's license is very expensive so I rate pricing a one out of ten."
"The licensing cost for SAP HANA is approximately $200 per user per month."
"The price of this product is good."
"The tool is expensive compared to other products, like Oracle R or Microsoft, but it offers a range of all the company's functions."
"It comes with a significant cost."
"The price is high and could be a bit cheaper."
"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."
"The solution is open-sourced and free."
"We use the open-source version, so we do not have direct support from Apache."
"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%
Financial Services Firm
9%
Comms Service Provider
8%
Government
5%
Financial Services Firm
18%
University
14%
Retailer
12%
Healthcare Company
9%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise12
Large Enterprise62
By reviewers
Company SizeCount
Small Business5
Midsize Enterprise6
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 needs improvement with Spark SQL?
We do not have any performance problems, but we do have some resource problems. Spark SQL consumes so many resources that we migrated our streaming job from Spark to Apache Flink. Resource manageme...
What is your primary use case for Spark SQL?
Spark SQL has been in our stack for less than one year, though some of our colleagues are using it. It is a useful product for transformation jobs. We generally use Spark SQL for batch processing. ...
What advice do you have for others considering Spark SQL?
Regarding the Catalyst query optimizer, I think we are using it. We were using it in the past, but I am not certain if we use it now. We used it a long time ago. I rate my experience with Spark SQL...
 

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: March 2026.
884,933 professionals have used our research since 2012.