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Apache Hadoop vs SAP BW4HANA comparison

 

Comparison Buyer's Guide

Executive SummaryUpdated on Dec 18, 2024

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
6.5
Apache Hadoop provides cost-effective data storage and processing, though ROI varies based on analytics use and sophistication.
Sentiment score
7.7
SAP BW4HANA centralizes data, enhances productivity and insights, with ROI expected in three to five years.
 

Customer Service

Sentiment score
6.4
Customer service varies by Hadoop distributor, with Hortonworks rated highly; support depends on vendor, community resources, or external vendors.
Sentiment score
5.6
SAP BW4HANA support receives mixed reviews, praised for technical assistance but criticized for variable response times and delays.
It's not structured support, which is why we don't use purely open-source projects without additional structured support.
In the meantime, I found solutions independently and provided two solutions to my client.
 

Scalability Issues

Sentiment score
7.6
Apache Hadoop excels in scalability, allowing easy cluster expansion and efficient data handling, ideal for varied organizational needs.
Sentiment score
7.1
SAP BW4HANA provides strong scalability through horizontal and vertical scaling, with positive user feedback despite budgeting challenges.
It is a distributed file system and scales reasonably well as long as it is given sufficient resources.
 

Stability Issues

Sentiment score
7.3
Apache Hadoop's stability, rated 8/10, improves with newer versions, though minor issues exist with memory and data processing.
Sentiment score
7.6
SAP BW4HANA is stable and reliable but faces scalability challenges with large datasets and needs more cloud-orientation.
Continuous management in the way of upgrades and technical management is necessary to ensure that it remains effective.
 

Room For Improvement

Apache Hadoop needs improved usability, integration, security, support, and performance for efficient high-volume data processing and better community resources.
SAP BW4HANA struggles with complexity, integration issues, high costs, a steep learning curve, and limited customization and support.
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it.
Integration needs improvement.
 

Setup Cost

Enterprise Hadoop offers cost benefits but varies with deployment type and distribution, impacting smaller organizations more heavily.
SAP BW4HANA is costly, with high migration and certification fees, affordable for large enterprises but expensive for smaller ones.
The certification cost for SAP BW4HANA in 2025 is expected to be one lakh forty thousand.
 

Valuable Features

Apache Hadoop excels with a scalable, cost-effective system handling diverse data types, integrating with tools, and supporting big data analytics.
SAP BW4HANA offers flexible, efficient data management and real-time analytics, featuring user-friendly interfaces and strong integration with SAP ERP.
Hadoop is a distributed file system, and it scales reasonably well provided you give it sufficient resources.
The best features include the ability to create data sources directly on tables, and perform mapping without creating info objects.
 

Categories and Ranking

Apache Hadoop
Ranking in Data Warehouse
6th
Average Rating
7.8
Reviews Sentiment
6.7
Number of Reviews
40
Ranking in other categories
No ranking in other categories
SAP BW4HANA
Ranking in Data Warehouse
9th
Average Rating
7.6
Reviews Sentiment
6.6
Number of Reviews
43
Ranking in other categories
No ranking in other categories
 

Mindshare comparison

As of May 2025, in the Data Warehouse category, the mindshare of Apache Hadoop is 5.1%, down from 5.6% compared to the previous year. The mindshare of SAP BW4HANA is 4.6%, down from 4.6% compared to the previous year. It is calculated based on PeerSpot user engagement data.
Data Warehouse
 

Featured Reviews

Sushil Arya - PeerSpot reviewer
Provides ease of integration with the IT workflow of a business
When working with Kafka, I saw that the data came in an incremental order. The incremental data processing part is still not very effective in Apache Hadoop. If the data is already there, it can be processed very effectively, especially if the data is coming in every second. If you want to know the location of some data every second, then such data is not processed effectively in Apache Hadoop. I can say that one of the features where improvements are required revolves around the licensing cost of the tool. If the tool can build some licensing structures in a pay-per-use manner, organizations can get the look and feel of Apache Hadoop. Apache Hadoop can offer a licensing structure of the product that can be seen as similar to how AWS operates. Apache Hadoop can look into the capability of processing incremental data. The tool's setup process can be a scope of improvement. Also, it is not very simple because while doing the setup, we need to do all the server settings, including port listing and firewall configurations. If we look at other products on the market, then they can be made simpler. There are certain shortcomings when it comes to the product's technical support part, making it an area where improvements are required. The time frame for the resolution is an area that needs to be improved. The overall communication part of the technical support team also needs improvement.
Csaba Grünblatt - PeerSpot reviewer
Performs all necessary data warehouse tasks and offers additional functionalities
SAP BW4HANA improved data reporting processes significantly. Performance on HANA database is good. Well-built data models ensure consistent and fast reporting. Reusable models enhance efficiency, even for SaaS services. In-memory computing, especially since HANA, has greatly improved performance in data analysis tasks. It eliminates the need for complex optimizations like creating indexes or aggregates. Queries that once took minutes now run in seconds, enabling real-time reporting, especially for SAP ECC on HANA. SAP BW4HANA's integration capabilities are streamlined with a simplified architecture and more virtual layers. You can directly load data into optimized layers, reducing the need for extra storage. The introduction of Open ODS Views allows for additional logic and master data inclusion, making integration faster and simpler. The learning curve for SAP BW4HANA is much faster now compared to ten years ago, thanks to abundant free resources like documentation, videos, blogs, and learning journeys provided by SAP. It is simpler to learn with these resources available compared to the past when you had to attend courses and rely on books. I would recommend SAP BW4HANA to users looking to implement it, especially if they want to keep their systems on-premise and already have SAP systems. Those with BW on HANA have two choices: BW4HANA or DataSphere, depending on their cloud strategy. If they are advanced in their cloud strategy and want to migrate off-premise, DataSphere is a good choice. However, for a robust solution on-premise or in a private cloud, BW4HANA is an excellent option. Overall, I would rate BW4HANA as a nine out of ten. It performs all necessary data warehouse tasks and offers additional functionalities. We use it traditionally, with complex transformations and models but with less emphasis on real-time processing and third-party sources.
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Top Industries

By visitors reading reviews
Financial Services Firm
35%
Computer Software Company
12%
University
6%
Energy/Utilities Company
5%
Manufacturing Company
17%
Financial Services Firm
10%
Computer Software Company
9%
Retailer
8%
 

Company Size

By reviewers
Large Enterprise
Midsize Enterprise
Small Business
 

Questions from the Community

What do you like most about Apache Hadoop?
It's primarily open source. You can handle huge data volumes and create your own views, workflows, and tables. I can also use it for real-time data streaming.
What is your experience regarding pricing and costs for Apache Hadoop?
The product is open-source, but some associated licensing fees depend on the subscription level. While it might be free for students, organizations typically need to pay for their subscriptions. Th...
What needs improvement with Apache Hadoop?
The problem with Apache Hadoop arose when the guys that originally set it up left the firm, and the group that later owned it didn't have enough technical resources to properly maintain it. This wa...
What do you like most about SAP BW4HANA?
One significant advantage of SAP BW/4HANA is the direct integration with the SAP HANA database, providing seamless access to real-time analytics. Additionally, it enables real-time data integrati...
What is your experience regarding pricing and costs for SAP BW4HANA?
We have a broad licensing arrangement, which is expensive but worth it for sizeable businesses.
What needs improvement with SAP BW4HANA?
The interface could be more user-friendly, as we often need to do low-level coding to get things done.
 

Also Known As

No data available
SAP BW/4HANA
 

Overview

 

Sample Customers

Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
Information Not Available
Find out what your peers are saying about Apache Hadoop vs. SAP BW4HANA and other solutions. Updated: April 2025.
851,604 professionals have used our research since 2012.