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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) (4th)
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

"It's stable and reliable."
"We use SAP HANA for Master Data Governance."
"All features are valuable."
"Eases management of databases."
"The most valuable feature of SAP HANA is its performance and integration."
"It's easy to use, and the Hana Studio is pretty good."
"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."
"I find the Thrift connection valuable."
"It is a stable solution."
"The speed of getting data."
"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."
"This solution is useful to leverage within a distributed ecosystem."
"The team members don't have to learn a new language and can implement complex tasks very easily using only SQL."
"One of Spark SQL's most beautiful features is running parallel queries to go through enormous data."
 

Cons

"The worst thing about SAP HANA is the price; it's very expensive. The licensing cost, implementation cost, hosting cost, and appliance cost are all high."
"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."
"Technical support could be better."
"What needs improvement in SAP HANA is its automation, in particular, it needs more enhancements in that area."
"In my limited experience using SAP, the process of granting access to different modules is difficult. Specifically, the requirement to assign roles and key codes to users rather than being able to assign them individually made the process more complex. It would be beneficial if there was a way to assign key codes separately, rather than having to create multiple roles. This would make managing access easier."
"The product is very demanding on memory requirements."
"The openness of the system could be more developed. The solution should go into the cloud. The cloud mechanism should be more invested."
"The documentation can be improved in the future."
"SparkUI could have more advanced versions of the performance and the queries and all."
"There should be better integration with other solutions."
"It would be beneficial for aggregate functions to include a code block or toolbox that explains its calculations or supported conditional statements."
"There are many inconsistencies in syntax for the different querying tasks."
"It would be useful if Spark SQL integrated with some data visualization tools."
"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."
"I've experienced some incompatibilities when using the Delta Lake format."
 

Pricing and Cost Advice

"We are spending about 20,000 to 30,000 euros on the solution."
"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."
"The pricing is relatively high for both customers and partners."
"There is a yearly subscription to use SAP HANA. There is a fee for maintenance."
"It is expensive, which isn't a problem for us because SAP HANA is processing the data so fast."
"SAP HANA is affordable. I rate it a seven out of ten."
"Its licensing is expensive for SMEs and large enterprises alike."
"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."
"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."
"The solution is open-sourced and free."
"The solution is bundled with Palantir Foundry at no extra charge."
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Top Industries

By visitors reading reviews
Manufacturing Company
14%
Financial Services Firm
10%
Comms Service Provider
8%
Retailer
5%
Financial Services Firm
15%
University
15%
Retailer
12%
Healthcare Company
7%
 

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: February 2026.
881,707 professionals have used our research since 2012.