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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:
 

ROI

Sentiment score
6.1
Apache Spark enhances machine learning, cutting operational costs by up to 50%, with efficiency reliant on resources and expertise.
Sentiment score
6.3
SAP HANA users saw financial and speed benefits, but mid-sized businesses faced mixed feelings about integration costs and challenges.
We do not feel we're getting value for the investment due to the additional resources needed for integration and maintenance.
Director of Infrastructure at a university with 5,001-10,000 employees
SAP HANA is a cost-saving solution that helps save money and serves as a time-saving solution that helps save time.
Senior Manager at PwC
 

Customer Service

Sentiment score
5.9
Apache Spark support feedback varies, with mixed reviews on community forums, vendor support, and documentation adequacy.
Sentiment score
6.0
SAP HANA customer service is well-received but varies; improvements needed in response speed, solution accuracy, and expert access.
I have received support via newsgroups or guidance on specific discussions, which is what I would expect in an open-source situation.
Data Architect at Devtech
The community support is better than the official SAP support.
SAP Analytics Lead at Miracle Software Systems, Inc
While issues are resolved eventually, the first level of support is not as good as we would like.
Sup-basis consultant at a security firm with 51-200 employees
When we raise a ticket for AWS or Azure issues, we find their support is very proactive, while SAP's support is quite passive.
Senior SAP Basis Consultant at a consultancy with 10,001+ employees
 

Scalability Issues

Sentiment score
7.5
Apache Spark excels in scalability, efficiently handling large data workloads with ease, though it requires skilled infrastructure management.
Sentiment score
7.8
SAP HANA efficiently scales for various user loads, supports growing data, and manages enterprise transactions across industries.
Our operations have grown from a hundred data operations a day to as many in a couple of seconds.
Director of Infrastructure at a university with 5,001-10,000 employees
There is enough scalability offered by SAP to meet our deployment needs.
Sup-basis consultant at a security firm with 51-200 employees
The scalability rating is based on the ability to expand.
Program manger at a consultancy with 10,001+ employees
 

Stability Issues

Sentiment score
7.4
Apache Spark is generally stable, trusted by companies; newer versions enhance reliability, though memory issues may arise without proper configuration.
Sentiment score
7.8
SAP HANA is generally stable and reliable, but some users face occasional performance issues linked to external factors.
Apache Spark resolves many problems in the MapReduce solution and Hadoop, such as the inability to run effective Python or machine learning algorithms.
Data Engineer at a tech company with 10,001+ employees
Without a doubt, we have had some crashes because each situation is different, and while the prototype in my environment is stable, we do not know everything at other customer sites.
Data Architect at Devtech
We recently faced customer data loss during the cluster handover or failover fallback.
Senior SAP Basis Consultant at a consultancy with 10,001+ employees
We have not had any problems in the last seven to eight years.
Sup-basis consultant at a security firm with 51-200 employees
Regarding stability, they are using legacy systems and have implemented SAP HANA.
SAP Analytics Lead at Miracle Software Systems, Inc
 

Room For Improvement

Apache Spark requires improvements in scalability, usability, documentation, memory efficiency, real-time processing, and broader language support for better performance.
SAP HANA faces criticism for high cost, complex deployment, resource limitations, and a challenging interface, affecting adoption and usability.
Various tools like Informatica, TIBCO, or Talend offer specific aspects, licensing can be costly;
Data Architect at Devtech
The main issue is the ecosystem, which lacks the widespread support that SQL enjoys.
Director of Infrastructure at a university with 5,001-10,000 employees
The setup process and deployment process for SAP HANA is complex.
Program manger at a consultancy with 10,001+ employees
Licensing costs with SAP HANA are very high.
SAP Analytics Lead at Miracle Software Systems, Inc
 

Setup Cost

Apache Spark is cost-effective but may incur expenses from hardware, cloud resources, or commercial support, impacting deployment costs.
SAP HANA's high pricing favors larger enterprises, requiring careful budgeting, with some opting for alternatives due to costs.
It's a recurring subscription model, which is expensive compared to legacy systems with just a maintenance fee.
Director of Infrastructure at a university with 5,001-10,000 employees
SAP is not a cheap company, and its licenses are expensive.
Sup-basis consultant at a security firm with 51-200 employees
I would rate the price for SAP HANA as high.
Senior SAP Basis Consultant at a consultancy with 10,001+ employees
 

Valuable Features

Apache Spark offers fast in-memory processing, scalable analytics, MLlib for machine learning, SQL support, and seamless integration with languages.
SAP HANA offers real-time analytics, integration, scalability, and a user-friendly interface, supporting large enterprises with efficient data handling.
Not all solutions can make this data fast enough to be used, except for solutions such as Apache Spark Structured Streaming.
Data Engineer at a tech company with 10,001+ employees
The solution is beneficial in that it provides a base-level long-held understanding of the framework that is not variant day by day, which is very helpful in my prototyping activity as an architect trying to assess Apache Spark, Great Expectations, and Vault-based solutions versus those proposed by clients like TIBCO or Informatica.
Data Architect at Devtech
This architecture allows for faster data processing and real-time analytics that were not possible with traditional databases.
Director of Infrastructure at a university with 5,001-10,000 employees
The concept enhances speed, allowing the database to serve and move data quickly.
Sup-basis consultant at a security firm with 51-200 employees
One of our dashboards using Excelsius was previously developed on normal BW on Oracle data, which took 10 minutes to open. After developing the same calculation views using those tables and replacing them with calculation views in Excelsius, the dashboard opened in seconds.
SAP Analytics Lead at Miracle Software Systems, Inc
 

Categories and Ranking

Apache Spark
Average Rating
8.4
Reviews Sentiment
6.9
Number of Reviews
68
Ranking in other categories
Hadoop (1st), Compute Service (5th), Java Frameworks (2nd)
SAP HANA
Average Rating
8.4
Reviews Sentiment
6.4
Number of Reviews
91
Ranking in other categories
Data Virtualization (2nd), Embedded Database (2nd), Relational Databases Tools (3rd), Database Management Systems (DBMS) (2nd)
 

Featured Reviews

Devindra Weerasooriya - PeerSpot reviewer
Data Architect at Devtech
Provides a consistent framework for building data integration and access solutions with reliable performance
The in-memory computation feature is certainly helpful for my processing tasks. It is helpful because while using structures that could be held in memory rather than stored during the period of computation, I go for the in-memory option, though there are limitations related to holding it in memory that need to be addressed, but I have a preference for in-memory computation. The solution is beneficial in that it provides a base-level long-held understanding of the framework that is not variant day by day, which is very helpful in my prototyping activity as an architect trying to assess Apache Spark, Great Expectations, and Vault-based solutions versus those proposed by clients like TIBCO or Informatica.
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.
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Top Industries

By visitors reading reviews
Financial Services Firm
25%
Computer Software Company
11%
Manufacturing Company
7%
Comms Service Provider
6%
Manufacturing Company
14%
Financial Services Firm
10%
Comms Service Provider
7%
Computer Software Company
7%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
By reviewers
Company SizeCount
Small Business28
Midsize Enterprise15
Large Enterprise32
By reviewers
Company SizeCount
Small Business26
Midsize Enterprise11
Large Enterprise61
 

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?
Apache Spark is open-source, so it doesn't incur any charges.
What needs improvement with Apache Spark?
Areas for improvement are obviously ease of use considerations, though there are limitations in doing that, so while various tools like Informatica, TIBCO, or Talend offer specific aspects, licensi...
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: December 2025.
879,422 professionals have used our research since 2012.