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."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."
"Hadoop is extensible — it's elastic."
"The most valuable feature is the database."
"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."
"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."
"Hadoop File System is compatible with almost all the query engines."
"Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing."
"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."
"Provides a great analytics engine with all the capabilities."
"It's quite scalable."
"The most valuable feature is that it's robust."
"It is a very stable solution."
"The product is stable."
"It is a stable solution...The initial setup was easy."
"It could be more user-friendly."
"The load optimization capabilities of the product are an area of concern where improvements are required."
"The stability of the solution needs improvement."
"In the next release, I would like to see Hive more responsive for smaller queries and to reduce the latency."
"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."
"The key shortcoming is its inability to handle queries when there is insufficient memory. This limitation can be bypassed by processing the data in chunks."
"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."
"We would like to have more dynamics in merging this machine data with other internal data to make more meaning out of it."
"The tool is not cloud-compatible."
"Pricing would be a good improvement. A lot of customers think that it's very expensive and especially support is very expensive."
"There's the complexity in migration from BW to BW/4HANA, especially with data migration."
"Price wise, this solution is on the higher side."
"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."
"The monitoring for the remodeling feature is very difficult to understand."
"The licensing cost could be made better."
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.
See our list of best Data Warehouse vendors.
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