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Compare Apache Hadoop vs. SAP BW4HANA

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Featured Review
Find out what your peers are saying about Apache Hadoop vs. SAP BW4HANA and other solutions. Updated: November 2021.
554,529 professionals have used our research since 2012.
Quotes From Members

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

"The most valuable feature is the database.""It's good for storing historical data and handling analytics on a huge amount of data.""The most valuable features are powerful tools for ingestion, as data is in multiple systems.""The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so.""Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability.""Hadoop is extensible — it's elastic.""The performance is pretty good."

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"The solution is easier to maintain than traditional SAP products.""I like that it's quite quick.""The most valuable aspect of this solution is that the infrastructure is easy to understand.""Its direct approach is the most valuable. You get more real time and capabilities than BW.""The most valuable features are the speed of reporting and the HANA database.""It can calculate data in detail. Before we could not calculate financial documents and accountant documents in detail, we could not do it at a document level but now we can. This is the most important feature. It also has predictive analysis memory.""Out of the box, this solution has a lot of standard features.""The most valuable feature is the dashboard."

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"It would be helpful to have more information on how to best apply this solution to smaller organizations, with less data, and grow the data lake.""From the Apache perspective or the open-source community, they need to add more capabilities to make life easier from a configuration and deployment perspective.""The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment.""The solution is very expensive.""The solution needs a better tutorial. There are only documents available currently. There's a lot of YouTube videos available. However, in terms of learning, we didn't have great success trying to learn that way. There needs to be better self-paced learning.""Hadoop's security could be better.""It would be good to have more advanced analytics tools."

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"The dashboard should be simplified and made easier for exploration and decision making.""Not a ten because it's expensive and its ecosystem is not very open.""It takes too long to escalate problems from the first level of support.""The solution does occasionally get a few bugs, but this is typical for any product.""Connecting multiple sources is a challenge because you have to go through a lot of different setups.""Pricing would be a good improvement. A lot of customers think that it's very expensive and especially support is very expensive.""I would like more integration.""Other competitors provide better solutions that are more up to date with current technology."

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Pricing and Cost Advice
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"In general, it's quite expensive.""As an investment, the solution is very expensive.""We started as early birds from the SAP side. We got this entire suite for free. I cannot really talk about the price because we didn't have to pay anything.""This is an expensive solution and there are costs in addition to the standard licensing fees."

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Questions from the Community
Top Answer: I don't think using Apache Spark without Hadoop has any major drawbacks or issues. I have used Apache Spark quite successfully with AWS S3 on many projects which are batch based. Yes for very high… more »
Top Answer: Hadoop is extensible — it's elastic.
Top Answer: Hadoop's security could be better.
Top Answer: Some of the main features of this solution are that it uses HANA and it has good performance.
Top Answer: As an investment, the solution is very expensive. We pay 72% every year to SAP. Additionally, we pay for support for the solution and a vendor to do maintenance.
Top Answer: Other competitors provide better solutions that are more up to date with current technology. For example, machine learning and artificial intelligence.
out of 30 in Data Warehouse
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out of 30 in Data Warehouse
Average Words per Review
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The Apache Hadoop project develops open-source software for reliable, scalable, distributed computing. The Apache Hadoop software library is a framework that allows for the distributed processing of large data sets across clusters of computers using simple programming models. It is designed to scale up from single servers to thousands of machines, each offering local computation and storage. Rather than rely on hardware to deliver high-availability, the library itself is designed to detect and handle failures at the application layer, so delivering a highly-available service on top of a cluster of computers, each of which may be prone to failures.

Streamline processes and support innovations with a single, trusted source for real-time insights. Based on SAP HANA, our next-generation data warehouse solution can help you capitalize on the full value of all your data from SAP applications or third-party solutions, as well as unstructured, geospatial, or Hadoop-based.

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Sample Customers
Amazon, Adobe, eBay, Facebook, Google, Hulu, IBM, LinkedIn, Microsoft, Spotify, AOL, Twitter, University of Maryland, Yahoo!, Cornell University Web Lab
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Top Industries
Computer Software Company29%
Comms Service Provider18%
Financial Services Firm13%
Energy/Utilities Company5%
Computer Software Company36%
Comms Service Provider19%
Energy/Utilities Company7%
Manufacturing Company6%
Company Size
Small Business40%
Midsize Enterprise20%
Large Enterprise40%
Small Business36%
Large Enterprise64%
Find out what your peers are saying about Apache Hadoop vs. SAP BW4HANA and other solutions. Updated: November 2021.
554,529 professionals have used our research since 2012.

Apache Hadoop is ranked 7th in Data Warehouse with 7 reviews while SAP BW4HANA is ranked 8th in Data Warehouse with 10 reviews. Apache Hadoop is rated 7.6, while SAP BW4HANA is rated 7.8. The top reviewer of Apache Hadoop writes "Great micro-partitions, helpful technical support and quite stable". On the other hand, the top reviewer of SAP BW4HANA writes "Good capabilities, direct approach, and the right reporting tool for SAP companies". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Snowflake, Oracle Exadata, VMware Tanzu Greenplum and Oracle Autonomous Data Warehouse, whereas SAP BW4HANA is most compared with Microsoft Azure Synapse Analytics, Snowflake, Amazon Redshift, Microsoft Parallel Data Warehouse and Oracle Database Appliance. See our Apache Hadoop vs. SAP BW4HANA report.

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