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Apache Spark vs SAP HANA 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

Apache Spark
Average Rating
8.4
Reviews Sentiment
7.7
Number of Reviews
66
Ranking in other categories
Hadoop (1st), Compute Service (5th), Java Frameworks (2nd)
SAP HANA
Average Rating
8.4
Reviews Sentiment
6.5
Number of Reviews
85
Ranking in other categories
Data Virtualization (2nd), Embedded Database (4th), Relational Databases Tools (4th)
 

Featured Reviews

Ilya Afanasyev - PeerSpot reviewer
Reliable, able to expand, and handle large amounts of data well
We use batch processing. It works well with our formats and file versions. There's a lot of functionality. In our pipeline each hour, we make a copy of data from MongoDB, of the changes from MongoDB to some specific file. Each time pipeline copied all of the data, it would do it each time without changes to all of the tables. Tables have a lot of data, and in the last MongoDB version, there is a possibility to read only changed data. This reduced the cost and configuration of the cluster, and we saved about $150,000. The solution is scalable. It's a stable product.
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…

Quotes from Members

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

Pros

"I like that it can handle multiple tasks parallelly. I also like the automation feature. JavaScript also helps with the parallel streaming of the library."
"Provides a lot of good documentation compared to other solutions."
"The distribution of tasks, like the seamless map-reduce functionality, is quite impressive."
"This solution provides a clear and convenient syntax for our analytical tasks."
"The fault tolerant feature is provided."
"Features include machine learning, real time streaming, and data processing."
"The most valuable feature is the Fault Tolerance and easy binding with other processes like Machine Learning, graph analytics."
"One of the key features is that Apache Spark is a distributed computing framework. You can help multiple slaves and distribute the workload between them."
"The user interface is very good. You can do any kind of reporting analytics from the platform."
"Its in-memory capabilities are good, which is why many companies still use it."
"It's very convenient and very innovative."
"The solution is easy to manage enterprise resources and the reporting and analytics are including. It is good for company growth and all module are managed well."
"It's sufficed all of our requirements. We primarily needed it to run SAP applications, like NetWeaver or S/4HANA, and it has been really good at that."
"Some functions have good performance."
"It is very flexible to integrate with SaaS components."
"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."
 

Cons

"For improvement, I think the tool could make things easier for people who aren't very technical. There's a significant learning curve, and I've seen organizations give up because of it. Making it quicker or easier for non-technical people would be beneficial."
"There could be enhancements in optimization techniques, as there are some limitations in this area that could be addressed to further refine Spark's performance."
"The main concern is the overhead of Java when distributed processing is not necessary."
"The solution needs to optimize shuffling between workers."
"Spark could be improved by adding support for other open-source storage layers than Delta Lake."
"Apache Spark could potentially improve in terms of user-friendliness, particularly for individuals with a SQL background. While it's suitable for those with programming knowledge, making it more accessible to those without extensive programming skills could be beneficial."
"The Spark solution could improve in scheduling tasks and managing dependencies."
"When you want to extract data from your HDFS and other sources then it is kind of tricky because you have to connect with those sources."
"Customer service can be improved. While issues are resolved eventually, the first level of support is not as good as we would like. Getting assistance from skilled support takes time."
"The only downside of the product is that it is an expensive solution that needs to consider lowering its prices to improve the product."
"The solution needs to work on its performance and make it faster."
"They should develop and improve the solution's data management system."
"Needs graphical programming without coding."
"This is an expensive solution."
"The interface is a little bit hard to customize. You almost have to consult the SAP original developer to change it."
"I don't have direct access to SAP, and instead, I need to go through the SAP office in India."
 

Pricing and Cost Advice

"It is quite expensive. In fact, it accounts for almost 50% of the cost of our entire project."
"Apache Spark is an open-source solution, and there is no cost involved in deploying the solution on-premises."
"Considering the product version used in my company, I feel that the tool is not costly since the product is available for free."
"It is an open-source solution, it is free of charge."
"We are using the free version of the solution."
"I did not pay anything when using the tool on cloud services, but I had to pay on the compute side. The tool is not expensive compared with the benefits it offers. I rate the price as an eight out of ten."
"The product is expensive, considering the setup."
"Spark is an open-source solution, so there are no licensing costs."
"The licensing could improve."
"SAP HANA is expensive, but unfortunately, we do not have any alternatives."
"A monthly or yearly license must be purchased, although its utility will be based on the cost-benefit analysis that is reached by the individual customer."
"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."
"We are spending about 20,000 to 30,000 euros on the solution."
"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."
"There is an annual payment needed to use the solution."
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
13%
Manufacturing Company
8%
Comms Service Provider
6%
Manufacturing Company
15%
Computer Software Company
11%
Financial Services Firm
10%
Government
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Apache Spark?
We use Spark to process data from different data sources.
What is your experience regarding pricing and costs for Apache Spark?
Compared to other solutions like Doc DB, Spark is more costly due to the need for extensive infrastructure. It requires significant investment in infrastructure, which can be expensive. While cloud...
What needs improvement with Apache Spark?
The Spark solution could improve in scheduling tasks and managing dependencies. Spark alone cannot handle sequential tasks, requiring environments like Airflow scheduler or scripts. For instance, o...
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...
 

Comparisons

 

Also Known As

No data available
SAP High-Performance Analytic Appliance, HANA
 

Overview

 

Sample Customers

NASA JPL, UC Berkeley AMPLab, Amazon, eBay, Yahoo!, UC Santa Cruz, TripAdvisor, Taboola, Agile Lab, Art.com, Baidu, Alibaba Taobao, EURECOM, Hitachi Solutions
Unilever, NHS 24, adidas Group, CHIO Aachen, Hamburg Port Authority (HPA), Bangkok Airways Public Company Limited
Find out what your peers are saying about Apache Spark vs. SAP HANA and other solutions. Updated: April 2025.
850,671 professionals have used our research since 2012.