Apache Hive vs. SAP BW/4HANA

Software work execution is on a large scale, it is good to use for new projects or organizational changes, data lineage mapping has always been dubious but this one has had good results. You can store and synchronize data from different departments, the storage process can be manual but it is best automated.

Incentivized

SAP BW/4HANA is certainly an excellent choice when it comes to setting up a data warehousing platform within a landscape of existing SAP systems ecosystem for realizing quick time to value and ROI over the long term. Many non-SAP analytics tools such as Power BI , Qlik also now offer connectors to leverage SAP BW/4HANA data as additional options to deploy third party visualization tools which make it a more open ended platform of choice. But with the future roadmap of SAP and industry in general being focused towards cloud based offerings (SAC and Datasphere) infused with AI capabilities one has to make a judicious choice among these depending on the use case, capabilities of platforms and existing systems landscape and the overall long term IT strategy. SAP BW/4HANA may not be a good platform of choice if starting a native greenfield data warehousing implementation with cloud first approach which would require data integration across SAP and Non-SAP sources and one should consider other SAP cloud offerings which however still have some time to reach a level of maturity as SAP BW/4HANA has reached over the years.

Incentivized

• Apache Hive allows use to write expressive solutions to complex problems thanks to its SQL-like syntax.
• Relatively easy to set up and start using.
• Very little ramp-up to start using the actual product, documentation is very thorough, there is an active community, and the code base is constantly being improved.

Incentivized

• High speed data warehouse regardless of data volumes.
• Excellent integration with SAP systems and Data sets.
• Simplified data modelling due to columnar data base.

Incentivized

• Some queries, particularly complex joins, are still quite slow and can take hours
• Previous jobs and queries are not stored sometimes
• Switching to Impala can sometimes be time-consuming (i.e. the system hangs, or is slow to respond).
• Sometimes, directories and tables don't load properly which causes confusion

Incentivized

• Enterprise license pricing is very expensive and run-time license limits the usefulness of the tool.
• Integration with SAP Analytics cloud for write-back to BW/4HANA. Live connection is only read from SAC.
• Make run-time licenses more useful.

Incentivized

Since I do not know the second data warehouse solution that integrate with HDFS as well as Hive.

Hive is a very good big data analysis and ad-hoc query platform, which supports scaling also. The BI processes can be easily integrated with Hadoop via the Hive. It can deal with a much larger data set that traditional RDBMS can not. It is a "must-have" component of the big data domain.

Incentivized

SAP BW/4HANA is a well-designed data warehousing solution that has matured over the years with even more capabilities esp. on the HANA platform making it a compelling choice for SAP customers. It is very well thought out both in design and development aspects from an IT standpoint as well as usability from a business user standpoint with excellent performance driven by HANA. It also goes beyond just analytics and offers data mining and planning capabilities that make it even more compelling.

Incentivized

Apache Hive is a FOSS project and its open source. We need not definitely comment on anything about the support of open source and its developer community. But, it has got tremendous developer support, awesome documentation. I would justify the fact that much support can be gathered from the community backup.

Incentivized

SAP Max Attention and general support for SAP BW/4HANA is broadly available. Truth to be told, MaxAttention has a premium cost but brings great engineers. So this being an enterprise capability and extremely critical, we did not consider cost as the main factor since support works well. Just keep that in mind when making your selection.

Incentivized

Besides Hive, I have used Google BigQuery, which is costly but have very high computation speed. Amazon Redshift is the another product, I used in my recent organisation. Both Redshift and BigQuery are managed solution whereas Hive needs to be managed

Incentivized

SAP BW / 4HANA and SAP IQ are both used for warehouse; with quick consultations for business analysis and that allows us to obtain dashboards and KPIs efficiently. SAP IQ is columnar and SAP BW / 4HANA immemorial. SAP BW / 4HANA was selected for the response speed of the queries since it saves the information in cache.

Incentivized

• Apache hive is secured and scalable solution that helps in increasing the overall organization productivity.
• Apache hive can handle and process large amount of data in a sufficient time manner.
• It simplifies writing SQL queries, hence helping the organization as most companies use SQL for all query jobs.

Incentivized

• Positive impact on the availability of information for decision making.
• Avoid the need for multiple databases for isolated data warehouses within the organization.
• Immediate availability of information for managers and business users.

Incentivized