We performed a comparison between Apache Hadoop and SAP BW4HANA 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."Its integration is Hadoop's best feature because that allows us to support different tools in a big data platform."
"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."
"It's open-source, so it's very cost-effective."
"We selected Apache Hadoop because it is not dependent on third-party vendors."
"The performance is pretty good."
"Hadoop is designed to be scalable, so I don't think that it has limitations in regards to scalability."
"Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing."
"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."
"The solution's performance is really good. Also, it's easy to operate, easy to administer, and relatively simple to install."
"We like that it is an SAP product, so we can easily connect with the SAP ERP system."
"The product has efficient performance."
"The most valuable aspect of this solution is that the infrastructure is easy to understand."
"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 integration. We don't need to rely on historical data alone; we can provide reporting and features based on real-time information."
"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."
"The most valuable feature is the dashboard."
"The solution is useful for connecting with external systems."
"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is probably the only feature we can improve a little bit because the terminal and coding screen on Hadoop is a little outdated, and it looks like the old C++ bio screen.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 solution is not easy to use. The solution should be easy to use and suitable for almost any case connected with the use of big data or working with large amounts of data."
"The main thing is the lack of community support. If you want to implement a new API or create a new file system, you won't find easy support."
"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."
"In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"It would be good to have more advanced analytics tools."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"The solution is not easy to implement. It requires a lot of learning at the beginning."
"From a technical perspective, it could be even more related to legacy systems. The connectivity requirement is quite high and requires systems that are up-to-date."
"I cannot integrate it with my other tools. It's not possible to do something in the predictive analysis. Mobile reporting is also not available."
"I don't see SAP actively supporting the solution now...a better support from SAP would be appreciated."
"It takes too long to escalate problems from the first level of support."
"Pricing would be a good improvement. A lot of customers think that it's very expensive and especially support is very expensive."
"One thing that could be enhanced in SAP BW4HANA is the user interface for process chains."
"The tool is not easy to use for an end user."
Apache Hadoop is ranked 6th in Data Warehouse with 34 reviews while SAP BW4HANA is ranked 8th in Data Warehouse with 37 reviews. Apache Hadoop is rated 7.8, while SAP BW4HANA is rated 7.4. The top reviewer of Apache Hadoop writes "Handles huge data volumes and create your own workflows and tables but you need to have deeper knowledge". On the other hand, the top reviewer of SAP BW4HANA writes "Performs all necessary data warehouse tasks and offers additional functionalities". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata, whereas SAP BW4HANA is most compared with Microsoft Azure Synapse Analytics, Snowflake, SAP HANA, Amazon Redshift and Vertica. See our Apache Hadoop vs. SAP BW4HANA 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.
