AWS Data Exchange vs. Microsoft Azure

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Exchange
Score 9.8 out of 10
N/A
AWS Data Exchange is an integration for data service, from which subscribers can easily browse the AWS Data Exchange catalog to find relevant and up-to-date commercial data products covering a wide range of industries, including financial services, healthcare, life sciences, geospatial, consumer, media & entertainment, and more.N/A
Microsoft Azure
Score 8.5 out of 10
N/A
Microsoft Azure is a cloud computing platform and infrastructure for building, deploying, and managing applications and services through a global network of Microsoft-managed datacenters.
$29
per month
Pricing
AWS Data ExchangeMicrosoft Azure
Editions & Modules
No answers on this topic
Developer
$29
per month
Standard
$100
per month
Professional Direct
$1000
per month
Basic
Free
per month
Offerings
Pricing Offerings
AWS Data ExchangeMicrosoft Azure
Free Trial
NoYes
Free/Freemium Version
NoYes
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional DetailsThe free tier lets users have access to a variety of services free for 12 months with limited usage after making an Azure account.
More Pricing Information
Community Pulse
AWS Data ExchangeMicrosoft Azure
Features
AWS Data ExchangeMicrosoft Azure
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
AWS Data Exchange
8.0
Ratings
5% below category average
Microsoft Azure
-
Ratings
Connect to traditional data sources7.00 Ratings00 Ratings
Connecto to Big Data and NoSQL9.00 Ratings00 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
AWS Data Exchange
8.2
Ratings
3% above category average
Microsoft Azure
-
Ratings
Data model creation9.00 Ratings00 Ratings
Metadata management9.00 Ratings00 Ratings
Business rules and workflow7.00 Ratings00 Ratings
Collaboration9.00 Ratings00 Ratings
Testing and debugging7.00 Ratings00 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
AWS Data Exchange
7.0
Ratings
15% below category average
Microsoft Azure
-
Ratings
Integration with data quality tools7.00 Ratings00 Ratings
Infrastructure-as-a-Service (IaaS)
Comparison of Infrastructure-as-a-Service (IaaS) features of Product A and Product B
AWS Data Exchange
-
Ratings
Microsoft Azure
8.5
Ratings
6% above category average
Service-level Agreement (SLA) uptime00 Ratings9.00 Ratings
Dynamic scaling00 Ratings8.00 Ratings
Elastic load balancing00 Ratings9.00 Ratings
Pre-configured templates00 Ratings8.00 Ratings
Monitoring tools00 Ratings8.40 Ratings
Pre-defined machine images00 Ratings8.00 Ratings
Operating system support00 Ratings8.90 Ratings
Security controls00 Ratings9.00 Ratings
Automation00 Ratings8.00 Ratings
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AWS Data ExchangeMicrosoft Azure
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Score 9.9 out of 10
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Score 8.7 out of 10
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Score 8.0 out of 10
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Score 9.5 out of 10
Enterprises
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Score 8.0 out of 10
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Score 9.5 out of 10
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User Ratings
AWS Data ExchangeMicrosoft Azure
Likelihood to Recommend
1.0
(0 ratings)
8.9
(0 ratings)
Likelihood to Renew
1.0
(0 ratings)
10.0
(0 ratings)
Usability
-
(0 ratings)
9.4
(0 ratings)
Availability
-
(0 ratings)
6.8
(0 ratings)
Support Rating
-
(0 ratings)
8.1
(0 ratings)
Implementation Rating
-
(0 ratings)
8.0
(0 ratings)
User Testimonials
AWS Data ExchangeMicrosoft Azure
Likelihood to Recommend
AWS Data Exchange fits best for scenarios where you have datasets that you would like to sell and you want to deliver it to anyone who would like to purchase it. It really beats having to set up downloads via your own website or portal. However, it can get complicated to manage if you're trying to deliver a dataset a client has already paid for.
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Actually, migrating to Microsoft Azure is a good solution for almost any situation, especially when all components of your network are ready to become cloud-based. The only drawback I personally encounter frequently is that older software packages cannot always be easily picked up and moved to Microsoft Azure in an optimal manner.
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Pros
  • Simplified data delivery
  • Ability to create any amount of data products
  • Ability to integrate payment plans with data products
  • Tracking data downloads and users
  • Integration with other AWS data services
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  • Azure simply provides end to end life cycle. Starting from the development to automated deployment, you will find [a] bunch of options. Custom hook-points allow [integration] on-premise resources as well.
  • Excellent documentation around all the services make it really easy for any novice. Overall support by [the] community and Azure Technical team is exceptional.
  • BOT Services, Computer Vision services, ML frameworks provide excellent results as compare to similar services provided by other giants in the same space.
  • Azure data services provide excellent support to ingest data from different sources, ETL, and consumption of data for BI purpose.
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Cons
  • Integration with more data sources
  • Ability to deliver data to clients without AWS accounts
  • Inclusion of direct data downloads in addition to asynchronous methods
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  • In our experience, Azure Kubernetes Survice was difficult to set up, which is why we used Kubernetes on top of VMs.
  • Azure REST API is a bit difficult to use, which made it difficult for us to automate our interactions with Azure.
  • Azure's Web UI does a good job of showing metrics on individual VMs, but it would be great if there was a way to show certain metrics from multiple VMs on one dashboard. For example, hard drive usage on our database VMs.
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Likelihood to Renew
There have been a lot of problems with ADX. First, the entire system is incredibly clunky from beginning to end.First, by AWS's own admission they're missing a lot of "tablestakes functionality" like the ability to see who is coming to your pages, more flexibility to edit and update your listings, the ability to create a storefront or catalog that actually tries to sell your products. All-in-all you're flying completely blind with AWS. In our convos with other sellers we strongly believe very little organic traffic is flowing through the AWS exchange. For the headache, it's not worth the time or the effort. It's very difficult to market or sell your products.We've also had a number of simple UX bugs where they just don't accurately reflect the attributes of your product. For instance for an S3 bucket they had "+metered costs" displayed to one of our buyers in the price. This of course caused a lot of confusion. They also misrepresented the historical revisions that were available in our product sets because of another UX bug. It's difficult to know what other things in the UX are also broken and incongruent.We also did have a purchase, but the seller is completely at their whim at providing you fake emails, fake company names, fake use cases because AWS hasn't thought through simple workflows like "why even have subscription confirmation if I can fake literally everything about a subscription request." So as a result we're now in an endless, timewasting, unhelpful thread with AWS support trying to get payment. They're confused of what to do and we feel completely lost.Lastly, the AWS team has been abysmal in addressing our concerns. Conversations with them result in a laundry list of excuses of why simple functionalities are so hard (including just having accurate documentation). It was a very frustrating and unproductive call. Our objective of our call was to help us see that ADX is a well-resourced and well-visioned product. Ultimately they couldn't clearly articulate who they built the exchange for both on the seller side and the buyer side.Don't waste your time. This is at best a very foggy experiment. Look at other sellers, they have a lot of free pages to try to get attention, but then have smart tactics to divert transactions away from the ADX. Ultimately, smart move. Why give 8-10% of your cut to a product that is basically bare-bones infrastructure.
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We have been very satisfied with Windows Azure and now a lot of our business depends on it as more teams are now deploying their applications into Azure. Our next step is to have our Infrastructure team move their resources to Azure. It will take awhile for that to happen but we are positive that it will.
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Usability
No answers on this topic
Microsoft Azure's overall usability has been better than expected. Often times vendors promise the world, only to leave you with a run-down town. Not the case with our experience. From an implementation perspective, all went perfect, and from the user-facing experience we have had no technical issues, just some learning curve issues that are more about "why" than "how"
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Reliability and Availability
No answers on this topic
It has proven to be unreliable in our production environment and services become unavailable without proper notification to system administrators
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Support Rating
No answers on this topic
Support is easy with all the knowledge base articles available for free on the web. Plus, if you have a preferred status you can leverage their concierge support to get rapid response. Sometimes they’ll bounce you around a lot to get you to the right person, but they are quite responsive (especially when you are paying for the service). Many of the older Microsoft skills are also transferable from old-school on-prem to Azure-based virtual interfaces.
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Implementation Rating
No answers on this topic
As I have mentioned before the issue with my Oracle Mismatch Version issues that have put a delay on moving one of my platforms will justify my 7 rating.
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Alternatives Considered
No answers on this topic
I feel that Microsoft Azure typically outperforms Google Cloud Platform in hybrid cloud capabilities, integration aspects, and, primarily, security compliance features. Azure offered superior integration with Microsoft's enterprise software ecosystem, and it's second to none in my opinion. This made it the natural choice for most, especially if heavily invested in Windows, Office 365, or Active Directory deployments. We chose Azure over GCP because we simply needed Windows workload support as a strong driver, more access to global regions, and let's not forget that most tech teams in an organization are Microsoft Certified, which makes skillset transfer from on-prem to cloud a minimal learning curve over shifting to a different provider.
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Return on Investment
  • Reduced time to publish datasets for sale by more than 80%
  • Increased net profit from dataset sales by ~10%
  • Reduced data delivery time to clients by 15%
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  • Times and growth went into it. By balancing on-premises maintenance with continuous cloud improvements, we’ve budgeted and planned endlessly increased capacity.
  • In today’s world of cyber-crime, clients can put even more faith in what they’ve heard. We built an innovative single-sign-on hub for all users. Also, other business platforms use Azure application gateways, reducing worker switching time and increasing productivity.
  • Its step can automate to improve the investment. In addition, we can integrate our organization’s credentials into an authorization for other systems.
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ScreenShots