AWS App Mesh vs. SAP Datasphere

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS App Mesh
Score 8.2 out of 10
N/A
AWS App Mesh is a service mesh that provides application-level networking to make it easy for services to communicate with each other across multiple types of compute infrastructure. App Mesh aims to give end-to-end visibility and high-availability for applications. There is no additional charge for using AWS App Mesh. Users pay for the AWS resources (EC2 instances or requested Fargate CPU and memory) consumed by the proxy that is deployed alongside containers.N/A
SAP Datasphere
Score 8.5 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
AWS App MeshSAP Datasphere
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS App MeshSAP Datasphere
Free Trial
NoYes
Free/Freemium Version
YesNo
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).
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Community Pulse
AWS App MeshSAP Datasphere
Top Pros

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Top Cons
Best Alternatives
AWS App MeshSAP Datasphere
Small Businesses

No answers on this topic

Google BigQuery
Google BigQuery
Score 8.6 out of 10
Medium-sized Companies
Red Hat OpenShift
Red Hat OpenShift
Score 8.6 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
Enterprises
IBM Cloud Managed Istio
IBM Cloud Managed Istio
Score 8.7 out of 10
Snowflake
Snowflake
Score 9.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS App MeshSAP Datasphere
Likelihood to Recommend
9.0
(1 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
AWS App MeshSAP Datasphere
Likelihood to Recommend
Amazon AWS
Useful in scenarios where we use a complex microservices-based implementation with the complexity of inter-service communication. Can use App Mesh with services running on any compute services such as Amazon ECS, Amazon EKS, and Amazon EC2. Can be used to isolate errors and pinpoint the error location and also to re-route.
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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
  • Standardization of microservices communication.
  • Traceability and visibility of communication across microservices.
  • Identify and Isolate issues in microservices communication.
  • Monitoring and sending data to CloudWatch.
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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.
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Cons
Amazon AWS
  • Increase the limit of for a set of resources: virtual nodes and virtual gateways.
  • Expert availability: not easy to find experts.
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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
Istio is high on operational costs as compared to AppMesh. HIgher learning curve for Istio as compared to AppMesh. Multi cluster support in AWS. App Mesh has IAM integration which is a plus for AWS workloads.
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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
  • High ROI as it facilitates operational monitoring and root cause analysis.
  • Ensures to re-route and distribute traffic sustaining operational availability and performance - +ve for ROI.
  • Service discovery enables service run time governance - +ve for ROI.
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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.
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