We performed a comparison between Apache Hadoop and SAP 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."One valuable feature is that we can download data."
"Most valuable features are HDFS and Kafka: Ingestion of huge volumes and variety of unstructured/semi-structured data is feasible, and it helps us to quickly onboard a new Big Data analytics prospect."
"I liked that Apache Hadoop was powerful, had a lot of tools, and the fact that it was free and community-developed."
"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."
"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 most valuable features are powerful tools for ingestion, as data is in multiple systems."
"The performance is pretty good."
"The key element in this solution is its rapid response. If you have a question about prices, buyers, customers, providers, or services, you need the answer in a minute or two. That's the key benefit for us that a solution like BW gives us."
"Having the back-end data set with the right information is the best qualification for this solution."
"With the technical support, the response has been pretty good from the SAP side."
"Predominantly, our company uses SAP Business Warehouse for reporting purposes across various departments, especially for managers to gain a quick understanding of their current standing and make informed decisions."
"The most valuable feature of SAP Business Warehouse is its hybrid functionality, allowing users to leverage both SQL-based data warehouse capabilities from HANA and feature-based data warehousing from BW."
"The most useful feature is definitely the speed."
"Out-of-the-box reports are very useful."
"What I like most about SAP Business Warehouse is that it's a seamless integration platform. A valuable feature in the tool is the monitoring alert that makes you aware of what process chain has failed. There's no manual monitoring required if you have configured an alert system, so the process chain can run in the background, and you can get alerts about it. The functionalities I find good in SAP Business Warehouse are alerting and monitoring. If you have configured the tool and have integrated it with SAP Solution Manager, then it's a good product to use."
"The solution is very expensive."
"The stability of the solution needs improvement."
"The price could be better. I think we would use it more, but the company didn't want to pay for it. Hortonworks doesn't exist anymore, and Cloudera killed the free version of Hadoop."
"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."
"Based on our needs, we would like to see a tool for data visualization and enhanced Ambari for management, plus a pre-built IoT hub/model. These would reduce our efforts and the time needed to prove to a customer that this will help them."
"It needs better user interface (UI) functionalities."
"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."
"I would like to see more direct integration of visualization applications."
"What I'd like to improve in SAP Business Warehouse is its data structure, that's a little bit rigid. It could be a bit more flexible, so you can design your data structure and improve performance when creating a solution. Currently, the way data is stored in SAP Business Warehouse is rigid."
"So far, the initial setup process in our company has not been easy enough for us to understand."
"You can start quickly but, when you have to get a little more detailed, when you have to change something, when you have to solve problems, it's not that easy. It's easy to start but evolving is not that easy."
"The advanced structuring can be complicated and the interface is not very intuitive."
"I'm not sure if our issue is related to BW or the Analysis Office. However, we're having performance issues in terms of time. It takes a long time to generate the report."
"It's a product that is at the end of life so they will not improve it anymore."
"We are very unhappy with technical support. First of all, they send their sales agents or pre-sales agents and most of them who don't know the solution as a properly trained tech would. We have an on-site SAP representative who is supposed to help us with our high priority and production issues, and they're not satisfactory to say the least."
"They should reduce the product’s installation package size for easier downloading."
Apache Hadoop is ranked 5th in Data Warehouse with 32 reviews while SAP Business Warehouse is ranked 8th in Cloud Data Warehouse with 25 reviews. Apache Hadoop is rated 7.8, while SAP 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 Business Warehouse writes "Offers powerful analytics and integration capabilities but requires improved upgrade processes". Apache Hadoop is most compared with Azure Data Factory, Microsoft Azure Synapse Analytics, Oracle Exadata, Snowflake and Teradata, whereas SAP Business Warehouse is most compared with Microsoft Azure Synapse Analytics, Snowflake, BigQuery, SAP BW4HANA and Amazon Redshift. See our Apache Hadoop vs. SAP Business Warehouse report.
See our list of best Data Warehouse vendors and best Cloud 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.
