We performed a comparison between Apache Hadoop and SAP NetWeaver Business Warehouse based on real PeerSpot user reviews.
Find out in this report how the two Data Warehouse solutions compare in terms of features, pricing, service and support, easy of deployment, and ROI."What I like about Apache Hadoop is that it's for big data, in particular big data analysis, and it's the easier solution. I like the data processing feature for AI/ML use cases the most because some solutions allow me to collect data from relational databases, while Hadoop provides me with more options for newer technologies."
"Apache Hadoop can manage large amounts and volumes of data with relative ease, which is a feature that is beneficial."
"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"The most important feature is its ability to handle large volumes. Some of our customers have really large volumes, and it is capable of handling their data in terms of the core volume and daily incremental volume. So, its processing power and speed are most valuable."
"It's good for storing historical data and handling analytics on a huge amount of data."
"The most valuable features are the ability to process the machine data at a high speed, and to add structure to our data so that we can generate relevant analytics."
"As compared to Hive on MapReduce, Impala on MPP returns results of SQL queries in a fairly short amount of time, and is relatively fast when reading data into other platforms like R."
"Since both Apache Hadoop and Amazon EC2 are elastic in nature, we can scale and expand on demand for a specific PoC, and scale down when it's done."
"The security and audit procedures are the most valuable features."
"It provides us with proof of data, we can centralize all of the information, check it, and then provide the information to our users."
"Transformation is a valuable feature of SAP NetWeaver. I can transform the data as per my needs or my client's needs. For example, flat tables can be transformed with respect to our requirements to combine multiple modules into one single table, and we can derive analytics."
"It's an excellent over-all tool for managers to analyze their business."
"A robust and efficient product."
"It is a robust system."
"Data modeling is a valuable feature."
"It would be good to have more advanced analytics tools."
"I mentioned it definitely, and this is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen. If the UI and UX can be improved slightly, I believe it will go a long way toward increasing adoption and effectiveness."
"The upgrade path should be improved because it is not as easy as it should be."
"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."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"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."
"General installation/dependency issues were there, but were not a major, complex issue. While migrating data from MySQL to Hive, things are a little challenging, but we were able to get through that with support from forums and a little trial and error."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"I think more integration with other applications would be perfect."
"The program is difficult to learn to use"
"Design and modeling could be simplified."
"Connectors are complex, and it is difficult to understand or know which connector should be used. For instance, if I want to connect APIs, I will not be able to do it directly. I would have to go to the portal integration to get the data. Therefore, having simplified connectors will make things much easier."
"It is difficult when your native language is not English. It is difficult for us to explain our issue and also difficult for the technical team to explain a resolution to us."
"The product could provide more features."
"There are performance issues in terms of scalability and availability."
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Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while SAP NetWeaver Business Warehouse is ranked 15th in Data Warehouse with 9 reviews. Apache Hadoop is rated 7.8, while SAP NetWeaver Business Warehouse is rated 7.8. The top reviewer of Apache Hadoop writes "A file system for data collection that contains needed information and files". On the other hand, the top reviewer of SAP NetWeaver Business Warehouse writes "Powerful solution with good security and audit procedure features". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata, whereas SAP NetWeaver Business Warehouse is most compared with SAP BW4HANA and SAP Business Warehouse. See our Apache Hadoop vs. SAP NetWeaver Business Warehouse report.
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We monitor all Data Warehouse reviews to prevent fraudulent reviews and keep review quality high. We do not post reviews by company employees or direct competitors. We validate each review for authenticity via cross-reference with LinkedIn, and personal follow-up with the reviewer when necessary.
