Apache Hive is database/data warehouse software that supports data querying and analysis of large datasets stored in the Hadoop distributed file system (HDFS) and other compatible systems, and is distributed under an open source license.
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SAP BW/4HANA
Score 8.0 out of 10
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SAP BW/4HANA is a next-generation
data warehouse solution. It is specifically designed to use the advanced
in-memory capabilities of the SAP HANA platform. For example, SAP BW/HANA can
integrate many different data sources to provide a single, logical view of all
the data. This could include data contained in SAP and non-SAP applications
running on-premise or in the cloud, and data lakes, such as those contained in
the Apache Hadoop open-source software framework. With SAP BW/4HANA,…
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Pricing
Apache Hive
SAP BW/4HANA
Editions & Modules
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No answers on this topic
Offerings
Pricing Offerings
Apache Hive
SAP BW/4HANA
Free Trial
No
No
Free/Freemium Version
No
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
Optional
Additional Details
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More Pricing Information
Community Pulse
Apache Hive
SAP BW/4HANA
Features
Apache Hive
SAP BW/4HANA
Access Control and Security
Comparison of Access Control and Security features of Product A and Product B
Apache Hive shines for ad-hoc analysis and plugging into BI tools. Its SQL-like syntax allows for ease of use not for only for engineers but also for data analysts. Through our experience, there are probably more desirable tools to use if you are planning on integrating Hive into your processing pipeline.
Solid data warehouse based on best-in-class in-memory HANA database with excellent integration into SAP solutions, as well as predelivered business content facilitating initial implementation. Leverages the best of SAP's architecture and flexible data warehousing capabilities, without compromising performance and simplification. Will be key enabler to our Finance and HCM analytics roadmap.
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.
SAP BW/4HANA requires specialized skillsets around data warehouse modeling and the access to data, however the modeling capabilities are intuitive and have now become accessible to both SAP and non-SAP data warehouse specialists. This new model allows for Interchangeable skillsets and access to a broader pool of experts throughout the industry, as well as easier access to data.
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.
I never experienced any support issue when using SAP BW/4HANA. The only issues I faced were at the moment of installing the tool in my computer but I got support from the local IT department of my company and was quickly fixed
We have used a simple but necessary function such as merging certain data tables, which although they may be from different areas, complement each other or are necessary, you can use metadata if what you need is to validate the origin of your information and what impact it has, is also feasible.
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.
