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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
64
Ranking in other categories
Hadoop (1st), Compute Service (4th), Java Frameworks (2nd)
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)
 

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

"There's a lot of functionality."
"DataFrame: Spark SQL gives the leverage to create applications more easily and with less coding effort."
"The most crucial feature for us is the streaming capability. It serves as a fundamental aspect that allows us to exert control over our operations."
"Features include machine learning, real time streaming, and data processing."
"It is highly scalable, allowing you to efficiently work with extensive datasets that might be problematic to handle using traditional tools that are memory-constrained."
"The most valuable feature of Apache Spark is its flexibility."
"The product’s most valuable features are lazy evaluation and workload distribution."
"With Spark, we parallelize our operations, efficiently accessing both historical and real-time data."
"We have found the solution to be customizable and it is beneficial it comes as a bundled package. Additionally, it is user-friendly."
"The most valuable features are the flexibility and the integration with other solutions in data quality."
"Using this solution has given us better details for reporting and analytics."
"What I like most are the dashboards and pervasive analytics."
"The initial setup is straightforward. It usually takes around eight months but it depends on a customer's requirements. We can spend a month or two customizing."
"SAP HANA's most valuable features are monitoring, reporting, and price and stock control."
"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 solution is marvelous because it controls everything including workflow and that makes our company more productive."
 

Cons

"I would like to see integration with data science platforms to optimize the processing capability for these tasks."
"The product could improve the user interface and make it easier for new users."
"One limitation is that not all machine learning libraries and models support it."
"When using Spark, users may need to write their own parallelization logic, which requires additional effort and expertise."
"Apache Spark's GUI and scalability could be improved."
"When you first start using this solution, it is common to run into memory errors when you are dealing with large amounts of data."
"The logging for the observability platform could be better."
"More ML based algorithms should be added to it, to make it algorithmic-rich for developers."
"The relationship with a partner that sells SAP could be better. We depend much more on our own development, and the partner is for selling us the solutions, so we need them to be able to supply help and answers. The partner isn't very helpful, and we have to rely on our own knowledge and research."
"The initial setup was pretty complex, considering the enormous amount of data they had from an Oracle ERP."
"SAP HANA's long run time to extract data could be improved upon."
"The bid process needs to be improved."
"The product lacks some flexibility in its settings and configurations."
"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."
"The openness of the system could be more developed. The solution should go into the cloud. The cloud mechanism should be more invested."
"You cannot apply mulit-join inside the calculation views, for example, when you are joining tables."
 

Pricing and Cost Advice

"The product is expensive, considering the setup."
"They provide an open-source license for the on-premise version."
"It is an open-source platform. We do not pay for its subscription."
"It is quite expensive. In fact, it accounts for almost 50% of the cost of our entire project."
"Spark is an open-source solution, so there are no licensing costs."
"Apache Spark is an expensive solution."
"We are using the free version of the solution."
"Apache Spark is open-source. You have to pay only when you use any bundled product, such as Cloudera."
"People who are technical will accept the cost, but financially they will assess whether this solution will bring them revenue or not. People often ask, how will I profit when the cost is so high?"
"While the cost of the license may seem high, it is important to note that the benefits of the solution far outweighs the cost."
"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."
"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."
"The cost of SAP HANA is high, and I would rate the price at eight out of ten."
"The price of the solution could be reduced, it is expensive."
"The price is high and could be a bit cheaper."
"Setup and licensing require planning and proper budgeting, as it is not cheap."
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Top Industries

By visitors reading reviews
Financial Services Firm
27%
Computer Software Company
13%
Manufacturing Company
7%
University
5%
Manufacturing Company
16%
Computer Software Company
12%
Financial Services Firm
10%
Energy/Utilities Company
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 main concern is the overhead of Java when distributed processing is not necessary. In such cases, operations can often be done on one node, making Spark's distributed mode unnecessary. Conseque...
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
 

Learn More

 

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: January 2025.
831,158 professionals have used our research since 2012.