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."It's good for storing historical data and handling analytics on a huge amount of data."
"Initially, with RDBMS alone, we had a lot of work and few servers running on-premise and on cloud for the PoC and incubation. With the use of Hadoop and ecosystem components and tools, and managing it in Amazon EC2, we have created a Big Data "lab" which helps us to centralize all our work and solutions into a single repository. This has cut down the time in terms of maintenance, development and, especially, data processing challenges."
"The most valuable features are powerful tools for ingestion, as data is in multiple systems."
"It's open-source, so it's very cost-effective."
"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."
"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."
"The solution is easy to expand. We haven't seen any issues with it in that sense. We've added 10 servers, and we've added two nodes. We've been expanding since we started using it since we started out so small. Companies that need to scale shouldn't have a problem doing so."
"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 ability to instantly pull data is the most valuable feature."
"Out of the box, this solution has a lot of standard features."
"SAP BW4HANA aids in managing data from ER to front-end analysis, contributes to ROI, and fosters business growth understanding. I like that the solution breaks down components to a very granular level, allowing for customization and implementation based on specific requirements. The solution is stable. The solution is scalable."
"The product has efficient performance."
"Provides a great analytics engine with all the capabilities."
"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."
"We like that it is an SAP product, so we can easily connect with the SAP ERP system."
"The solution is based on SAP ERP, so there's some business content already included. For customers who use SAP ERP, SAP BW4HANA is a good choice for their DW implementation."
"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."
"It would be good to have more advanced analytics tools."
"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."
"What could be improved in Apache Hadoop is its user-friendliness. It's not that user-friendly, but maybe it's because I'm new to it. Sometimes it feels so tough to use, but it could be because of two aspects: one is my incompetency, for example, I don't know about all the features of Apache Hadoop, or maybe it's because of the limitations of the platform. For example, my team is maintaining the business glossary in Apache Atlas, but if you want to change any settings at the GUI level, an advanced level of coding or programming needs to be done in the back end, so it's not user-friendly."
"The upgrade path should be improved because it is not as easy as it should be."
"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 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."
"If I want to have good reporting, then I have to buy a separate license."
"Pricing would be a good improvement. A lot of customers think that it's very expensive and especially support is very expensive."
"BW/4HANA could improve query optimization. For example, there could be an error message that pops up when you hover over it if any query fails. That would make it easier to find out what went gone wrong. Guided SAP help tools would make it easier for us to go forward."
"The licensing cost could be made better."
"Connecting multiple sources is a challenge because you have to go through a lot of different setups."
"There's the complexity in migration from BW to BW/4HANA, especially with data migration."
"It's complicated to use. You need to spend a lot of time learning about it. The interface could be improved. It's not intuitive to build a data model and use their ETL tools."
"Not a ten because it's expensive and its ecosystem is not very open."
Apache Hadoop is ranked 5th in Data Warehouse with 34 reviews while SAP BW4HANA is ranked 8th in Data Warehouse with 36 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.
