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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
6.5
Number of Reviews
84
Ranking in other categories
Data Virtualization (2nd), Embedded Database (4th), Relational Databases Tools (4th)
Spark SQL
Average Rating
7.8
Reviews Sentiment
7.6
Number of Reviews
14
Ranking in other categories
Hadoop (4th)
 

Featured Reviews

Jayarami Reddy Pujeri - PeerSpot reviewer
Comprehensive system with real-time analytics for versatile industry applications
Our primary use case is working with various clients in industries such as pharmaceuticals and other services. We support clients as implementers of SAP HANA, providing expertise in functionality, finance, logistics, and processes The solution is very user-friendly and supports all kinds of…
Sahil Taneja - PeerSpot reviewer
Easy to use and do not require a learning curve
Spark SQL can improve the documentation they have provided. It can be a bit unclear at times. They could improve the documentation a bit more so that we can understand it more easily. Moreover, they could improve SparkUI to have more advanced versions of the performance and the queries and all.

Quotes from Members

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

Pros

"Anyone currently using SAP will be transitioning to HANA."
"SAP HANA is one of the best databases known for its performance...The new version of the solution is stable."
"We've had good experiences with technical support."
"I like the integration process. Also, the data is trusted by our management, and we use the data from transactions for analysis."
"The most valuable feature of SAP HANA is the modeling of the databases."
"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 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."
"It's easy to use, and the Hana Studio is pretty good."
"The speed of getting data."
"It is a stable solution."
"I find the Thrift connection valuable."
"Data validation and ease of use are the most valuable features."
"Spark SQL's efficiency in managing distributed data and its simplicity in expressing complex operations make it an essential part of our data pipeline."
"One of Spark SQL's most beautiful features is running parallel queries to go through enormous data."
"Offers a variety of methods to design queries and incorporates the regular SQL syntax within tasks."
"This solution is useful to leverage within a distributed ecosystem."
 

Cons

"I would have rated the solution higher if this version was not missing some key features the newer version has."
"It is challenging to integrate it with third-party tools."
"Technical support should be more customer-friendly."
"SAP HANA isn't user-friendly, and it's very hard to train newcomers to use it."
"What needs improvement in SAP HANA is its automation, in particular, it needs more enhancements in that area."
"Ease of use could be improved in SAP HANA. I like SAP because SAP solutions can be used by anyone, which means even laymen can start working on SAP tools, but in SAP HANA modeling, you'll need to know some other technologies and sequel scripting, and you need a separate skillset, so if you don't have the skillset, you won't be able to work on SAP HANA. Making SAP HANA low-code would make it even better."
"The openness of the system could be more developed. The solution should go into the cloud. The cloud mechanism should be more invested."
"The user experience should be better. Its user interface is not good. I also don't like the transition concept."
"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."
"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."
"It would be useful if Spark SQL integrated with some data visualization tools."
"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 takes a bit of time to get used to using this solution versus Pandas as it has a steep learning curve."
"Anything to improve the GUI would be helpful."
 

Pricing and Cost Advice

"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."
"We pay annually for the license of the solution."
"SAP HANA is an expensive product."
"SAP HANA is very expensive here in China. My company bought the SAP ERP suite, which includes SAP HANA. For others who use SAP HANA as an analytical database, CPU numbers will affect the pricing, so as a solution, it's costly."
"The price of this product is good."
"The tool’s subscription is yearly."
"While the cost of the license may seem high, it is important to note that the benefits of the solution far outweighs the cost."
"The cost of SAP HANA is high, and I would rate the price at eight out of ten."
"The solution is bundled with Palantir Foundry at no extra charge."
"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."
"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 open-sourced and free."
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Top Industries

By visitors reading reviews
Manufacturing Company
16%
Computer Software Company
12%
Financial Services Firm
10%
Energy/Utilities Company
7%
Financial Services Firm
28%
Computer Software Company
15%
Retailer
8%
Manufacturing Company
6%
 

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
 

Learn More

 

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: January 2025.
831,265 professionals have used our research since 2012.