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Altiscale vs Apache Spark vs SAP HANA comparison

 

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Executive Summary

Review summaries and opinions

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

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Hadoop
Hadoop
Embedded Database
 

Featured Reviews

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Dunstan Matekenya - PeerSpot reviewer
Open-source solution for data processing with portability
Apache Spark is known for its ease of use. Compared to other available data processing frameworks, it is user-friendly. While many choices now exist, Spark remains easy to use, particularly with Python. You can utilize familiar programming styles similar to Pandas in Python, including object-oriented programming. Another advantage is its portability. I can prototype and perform some initial tasks on my laptop using Spark without needing to be on Databricks or any cloud platform. I can transfer it to Databricks or other platforms, such as AWS. This flexibility allows me to improve processing even on my laptop. For instance, if I'm processing large amounts of data and find my laptop becoming slow, I can quickly switch to Spark. It handles small and large datasets efficiently, making it a versatile tool for various data processing needs.
Dhiraj Jankar - PeerSpot reviewer
Users appreciate the mix of in-memory architecture and ease of backend management
The most valuable SAP HANA features are that, compared to Oracle, there is less administrative work and less complex work to handle, making it very straightforward. The tool itself takes care of the backend work. The main benefits SAP HANA provides to users include its architecture, which combines both column store and row store capabilities. Some places find the row feature important, whereas others find column store important. It allows some tables to be stored in a column base, others in a row base, and the In-Memory functionalities are mostly the highlight of SAP HANA, especially compared to disk-based memory users. This was the main reason SAP HANA was introduced initially.
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Top Industries

By visitors reading reviews
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Financial Services Firm
27%
Computer Software Company
12%
Manufacturing Company
7%
Comms Service Provider
6%
Manufacturing Company
14%
Computer Software Company
11%
Financial Services Firm
10%
Government
6%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
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Questions from the Community

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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?
There is complexity when it comes to understanding the whole ecosystem, especially for beginners. I find it quite com...
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...
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...
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 pre...
 

Comparisons

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Also Known As

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SAP High-Performance Analytic Appliance, HANA
 

Overview

 

Sample Customers

Glu Mobile, Airpush, Devicescape, Visible Measures
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, Cloudera, Amazon Web Services (AWS) and others in Hadoop. Updated: June 2025.
859,687 professionals have used our research since 2012.