Amazon Athena vs. SAP Datasphere

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
Amazon Athena
Score 8.4 out of 10
N/A
Amazon Athena is an interactive query service that makes it easy to analyze data directly in Amazon S3 using standard SQL. With a few clicks in the AWS Management Console, customers can point Athena at their data stored in S3 and begin using standard SQL to run ad-hoc queries and get results in seconds. Athena is serverless, so there is no infrastructure to setup or manage, and customers pay only for the queries they run. You can use Athena to process logs, perform ad-hoc analysis, and run…
$5
per TB of Data Scanned
SAP Datasphere
Score 8.6 out of 10
N/A
SAP Datasphere, the next generation of SAP Data Warehouse Cloud, is a comprehensive data service that enables data professionals to deliver seamless and scalable access to mission-critical business data. It provides a unified experience for data integration, data cataloging, semantic modeling, data warehousing, data federation, and data virtualization. SAP Datasphere enables users to distribute mission-critical business data — with business context and logic preserved — across the data…N/A
Pricing
Amazon AthenaSAP Datasphere
Editions & Modules
Price per Query
$5.00
per TB of Data Scanned
No answers on this topic
Offerings
Pricing Offerings
Amazon AthenaSAP Datasphere
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsSAP Datasphere is available as a subscription or consumption-based model. The SAP Datasphere capacity unit (CU) offers an adaptable approach to pricing that enables any workload on any hyperscaler. The number of CUs required is determined by the unique workload, with the ability to tailor the combination of required services within SAP Datasphere utilizing a flexible tenant configuration. The services that contribute to CU consumption are the core application (compute and storage), data lake, BW bridge, data integration, and data catalog (crawling and storage).
More Pricing Information
Community Pulse
Amazon AthenaSAP Datasphere
Top Pros
Top Cons
Features
Amazon AthenaSAP Datasphere
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Amazon Athena
8.5
3 Ratings
3% below category average
SAP Datasphere
-
Ratings
Automatic software patching8.22 Ratings00 Ratings
Database scalability8.22 Ratings00 Ratings
Automated backups7.73 Ratings00 Ratings
Database security provisions9.22 Ratings00 Ratings
Monitoring and metrics8.73 Ratings00 Ratings
Automatic host deployment9.22 Ratings00 Ratings
Best Alternatives
Amazon AthenaSAP Datasphere
Small Businesses
SingleStore
SingleStore
Score 9.8 out of 10
Google BigQuery
Google BigQuery
Score 8.6 out of 10
Medium-sized Companies
SingleStore
SingleStore
Score 9.8 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
Enterprises
SingleStore
SingleStore
Score 9.8 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
Amazon AthenaSAP Datasphere
Likelihood to Recommend
9.5
(3 ratings)
7.8
(94 ratings)
Usability
-
(0 ratings)
8.0
(37 ratings)
Support Rating
-
(0 ratings)
9.0
(23 ratings)
Contract Terms and Pricing Model
-
(0 ratings)
8.4
(9 ratings)
Professional Services
-
(0 ratings)
8.8
(4 ratings)
User Testimonials
Amazon AthenaSAP Datasphere
Likelihood to Recommend
Amazon AWS
If you are looking to take a lot of the traditional "database administration" work off someone's plate, going with Amazon Athena certainly has "no code" options to optimize lots of database tasks. I would say this option is less appropriate if you have other Microsoft things at play, such as Power BI.
Read full review
SAP
One of the best use cases for SAP data sphere is ecommerce and retail business where a lot of locations are constantly generating a lot of data and we need to make important business decisions based on that data. SAP data sphere can help wit integrating multiple data sources and help with analytics, data processing, modeling and making business predictions
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Pros
Amazon AWS
  • Nested Schemas like JSON data structure
  • Ability to adapt the data model to fit your queries better
  • Performance Improvement
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SAP
  • SAP Data Warehouse Cloud offers free trial for 90 days with free 128 GB of storage and 64 GB memory.
  • Availability of self-service data modeling and analytics on SAP Data Warehouse Cloud enables users to access and analyze data without getting support from the IT team.
  • Without zero coding while collecting, connecting, analyzing and modeling data, it saves us time and operational costs of partnering with external IT support experts.
Read full review
Cons
Amazon AWS
  • Query manager can incoperate GUI based query designer
  • Auto-completion engine sometimes overwrite the query
  • Time range selection should be implicit
Read full review
SAP
  • Need to have a good understanding of the SAP ecosystem to implement and use it.
  • From a cost perspective it can be little bit on the expensive side for enterprises.
  • The platform is still new and hence more subjected to bugs. But support for it is always good from the SAP team.
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Usability
Amazon AWS
No answers on this topic
SAP
It is one of the best tools and a boon to Logistics teams across the globe. One tends to actually process warehousing data so smoothly and the way demonstration is made while in programs it makes it user friendly. The Inventory touch points that one identify is simply awesome and is best part.
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Support Rating
Amazon AWS
No answers on this topic
SAP
I would greatly acknowledge the services of Sap Data [warehouse Cloud] because we were struggling before its arrival where we used to get manual data connections and this used to consume a lot of time but after its use, we now are able to connect data easily saving a lot of time and finances.
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Alternatives Considered
Amazon AWS
Amazon Athena, a product from Amazon, competes with offerings from Google and Microsoft. Overall, I think your database choice depends on some of the other applications you are running at your company. For example, if you are using Microsoft Power BI for reporting needs, you might want to consider going the Azure route.
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SAP
Each of these listed software has its own unique strength and capacity that scales well. SAP Datasphere on its end up against them with more suitability for large establishments with complex data ecosystems with scalability support. Also, it avails a pay-as-you-go pricing for users, and it is widely up for data quality, data governance, and data discovery.
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Contract Terms and Pricing Model
Amazon AWS
No answers on this topic
SAP
Despite the pricing model being expensive for small businesses, it provides decent features and capabilities for organizations of different sizes and it's an appropriate investment in today's business environment where there is constant pressure to build a scalable and flexible analytics service
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Professional Services
Amazon AWS
No answers on this topic
SAP
Ever since we implemented SAP Data Warehouse Cloud, we have been able to reduce the additional costs of hiring third-party service providers by incorporating professional services offered by the vendor.
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Return on Investment
Amazon AWS
  • Easy to query terabytes of data with faster response
  • Pricing model is also cheap
  • No indexing and partitioning
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SAP
  • Preserving data quality has enhanced governance on data by having a single source that is accessible to every business user via self-service capabilities.
  • Operational cost is lowered by connecting data in one integrated solution hence making it easy to access information without having to keeping logging to other applications. Additionally, no external IT support is needed since SAP Data Warehouse Cloud has no-coding modeling tools.
  • SAP Data Warehouse Cloud has enabled every business user to understand different data by transforming data to real insights.
Read full review
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