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."We selected Apache Hadoop because it is not dependent on third-party vendors."
"The ability to add multiple nodes without any restriction is the solution's most valuable aspect."
"The performance is pretty good."
"The best thing about this solution is that it is very powerful and very cheap."
"Two valuable features are its scalability and parallel processing. There are jobs that cannot be done unless you have massively parallel processing."
"It's good for storing historical data and handling analytics on a huge amount of data."
"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."
"High throughput and low latency. We start with data mashing on Hive and finally use this for KPI visualization."
"It is a stable solution...The initial setup was easy."
"The most valuable aspect of this solution is that the infrastructure is easy to understand."
"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 features are the speed of reporting and the HANA database."
"We can get good visualization and less redundant data."
"Out of the box, this solution has a lot of standard features."
"From an ERP point of view and a functionality point of view, it works very well. The benefits are in that of financial costing and material management."
"The solution is useful for connecting with external systems."
"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."
"In certain cases, the configurations for dealing with data skewness do not make any sense."
"The solution could use a better user interface. It needs a more effective GUI in order to create a better user environment."
"It needs better user interface (UI) functionalities."
"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."
"Real-time data processing is weak. This solution is very difficult to run and implement."
"There is a lack of virtualization and presentation layers, so you can't take it and implement it like a radio solution."
"It could be more user-friendly."
"Connecting multiple sources is a challenge because you have to go through a lot of different setups."
"The product needs to improve with more performance and fewer data layers."
"Not a ten because it's expensive and its ecosystem is not very open."
"The solution does occasionally get a few bugs, but this is typical for any product."
"I would like more integration."
"The UI is not user-friendly."
"We cannot integrate with third-party tools like Python or advanced integration options. You can't fine-tune tables within BW or generate specific views or reports."
"Support could be more reliable."
Apache Hadoop is ranked 5th in Data Warehouse with 31 reviews while SAP BW4HANA is ranked 7th in Data Warehouse with 33 reviews. Apache Hadoop is rated 7.8, while SAP BW4HANA is rated 7.4. 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 BW4HANA writes "An easy-to-operate and administer tool that needs to consider revising its existing licensing cost". Apache Hadoop is most compared with Microsoft Azure Synapse Analytics, Azure Data Factory, Oracle Exadata and Snowflake, whereas SAP BW4HANA is most compared with Microsoft Azure Synapse Analytics, Snowflake, Amazon Redshift, SAP HANA and Microsoft Parallel Data Warehouse. See our Apache Hadoop vs. SAP BW4HANA report.
See our list of best Data Warehouse vendors.
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.