Amazon Web Services (AWS) is a subsidiary of Amazon that provides on-demand cloud computing services. With over 165 services offered, AWS services can provide users with a comprehensive suite of infrastructure and computing building blocks and tools.
$100
per month
Workday Prism Analytics
Score 7.1 out of 10
N/A
Workday Prism Analytics is a scalable data hub that enables Finance and HR to securely ingest, blend, and transform high volumes of data from any source—integrated with Workday’s people and financial data. Prism Analytics powers deeper insights across Workday HCM, Financials, and Adaptive Planning, helping teams make smarter decisions without heavy IT reliance. Built on a high-performance Spark engine with machine learning-based resource management, multi-cloud support, and a tables-based…
N/A
Pricing
Amazon Web Services
Workday Prism Analytics
Editions & Modules
Free Tier
$0
per month
Basic Environment
$100 - $200
per month
Intermediate Environment
$250 - $600
per month
Advanced Environment
$600-$2500
per month
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Offerings
Pricing Offerings
Amazon Web Services
Workday Prism Analytics
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
Yes
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
AWS allows a “save when you commit” option that offers lower prices when you sign up for a 1- or 3- year term that includes an AWS service or category of services.
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Community Pulse
Amazon Web Services
Workday Prism Analytics
Features
Amazon Web Services
Workday Prism Analytics
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
Amazon Web Services
8.4
78 Ratings
2% above category average
Workday Prism Analytics
-
Ratings
Service-level Agreement (SLA) uptime
9.172 Ratings
00 Ratings
Dynamic scaling
8.873 Ratings
00 Ratings
Elastic load balancing
9.369 Ratings
00 Ratings
Pre-configured templates
7.166 Ratings
00 Ratings
Monitoring tools
8.473 Ratings
00 Ratings
Pre-defined machine images
8.266 Ratings
00 Ratings
Operating system support
7.972 Ratings
00 Ratings
Security controls
8.674 Ratings
00 Ratings
Automation
8.325 Ratings
00 Ratings
Workforce Analytics
Comparison of Workforce Analytics features of Product A and Product B
This is something that is actually common across most cloud providers. A comprehensive understanding of one's use cases, constraints and future directions is key to determining if you even need a cloud solution. If you are a 2-person startup developing something with a best-scenario audience of 1k DAU in a year, you would very likely best served by a dirt-cheap dedicated Linux server somewhere (and your options to graduate to a cloud solution will still be open). If, however, you are a bigger fish, and/or you are actively considering build-vs-buy decisions for complicated, highly-loaded, six-figure requests per minute systems, global loadbalancing, extreme growth projections - then MAYBE you solve all or part of it with a cloud provider. And depending on your taste for risk, reliability, flexibility, track record - it might be AWS.
In my organization, we mainly use Workday Prism Analytics in HR and Finance departments. It not only enables us to make data-centric decisions but also helps reduce the need for data experts since we are able to visualize data on our own through self-service analytics.
It's web based. No need to install any desktop clients on your machine to use platfora.
It's best suited for a big data Hadoop environment. I can rate it as the #1 BI tool for a big data hadoop environment.
Platfora follows kind of the same architecture as Hadoop architecture like Master and Slave architecture. It scales with the data volumes.
Querying data is very good and very fast. (Platfora Lens)
Client presentation wise it's good. You can get different kinds of graphs.
Platfora almost supports everything on Big Data technologies including file formats, compression etc.
Security is not compromised and it can deal in parallel with any Hadoop distributor security implementations. Just take an example of Knox on Hortonworks, so it will deal with that and cloudera , MapR
Its very easily understandable and for the new people who wants to try platfora, learning curve is low
You can create your own datasets in platfora. You can store your results as a dataset in platfora and can share across
We are almost entirely satisfied with the service. In order to move off it, we'd have to build for ourselves many of the services that AWS provides and the cost would be prohibitive. Although there are cost savings and security benefits to returning to the colo facility, we could never afford to do it, and we'd hate to give up the innovation and constant cycle of new features that AWS gives us.
AWS offers a wide range of powerful services that cater to various business needs which is significant strength. The ability to scale resources on-demand is a major advantage making it suitable for businesses of all sizes. The sheer volume of options and configurations can be overwhelming for new users leading to a steep learning curve. While functional the AWS management console can feel cluttered and less intuitive compared to some competitors which can hinder navigation. Although some documentation lacks clarity and practical examples which can frustrate users trying to implement specific solutions.
AWS does not provide the raw performance that you can get by building your own custom infrastructure. However, it is often the case that the benefits of specialized, high-performance hardware do not necessarily outweigh the significant extra cost and risk. Performance as perceived by the user is very different from raw throughput.
The customer support of Amazon Web Services are quick in their responses. I appreciate its entire team, which works amazingly, and provides professional support. AWS is a great tool, indeed, to provide customers a suitable way to immediately search for their compatible software's and also to guide them in a good direction. Moreover, this product is a good suggestion for every type of company because of its affordability and ease of use.
Amazon Web Services fits best for all levels of organisations like startup, mid level or enterprise. The services are easy to use and doesn't require a high level of understanding as you can learn via blogs or youtube videos. AWS is Reasonable in cost as the plan is pay as you use.
Both are great products. The advantage of SAP Workforce Analytics is that it's widely interoperable between different APIs and databases. Having said that, Workday Prism Analytics scores much better in user-friendliness and the learning curve for the teams to start using it is very low. If Workday enhances its APIs functionality, it can compete easily with SAP Workforce Analytics.
Using Amazon Web Services has allowed us to develop and deploy new SAAS solutions quicker than we did when we used traditional web hosting. This has allowed us to grow our service offerings to clients and also add more value to our existing services.
Having AWS deployed has also allowed our development team to focus on delivering high-quality software without worrying about whether our servers will be able to handle the demand. Since AWS allows you to adjust your server needs based on demand, we can easily assign a faster server instance to ease and improve service without the client even knowing what we did.