AWS Data Exchange vs. Informatica PowerExchange Connectors

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Exchange
Score 6.2 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
Informatica PowerExchange
Score 8.2 out of 10
N/A
PowerExchange Connectors from Informatica presents a data integration solution.N/A
Pricing
AWS Data ExchangeInformatica PowerExchange Connectors
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Data ExchangeInformatica PowerExchange
Free Trial
NoNo
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeNo setup fee
Additional Details
More Pricing Information
Community Pulse
AWS Data ExchangeInformatica PowerExchange Connectors
Top Pros
Top Cons
Features
AWS Data ExchangeInformatica PowerExchange Connectors
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
AWS Data Exchange
7.9
2 Ratings
6% below category average
Informatica PowerExchange Connectors
8.3
2 Ratings
1% below category average
Connect to traditional data sources6.82 Ratings8.52 Ratings
Connecto to Big Data and NoSQL9.01 Ratings8.01 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
AWS Data Exchange
8.2
1 Ratings
2% above category average
Informatica PowerExchange Connectors
7.8
2 Ratings
3% below category average
Data model creation9.01 Ratings8.02 Ratings
Metadata management9.01 Ratings7.52 Ratings
Business rules and workflow7.01 Ratings8.52 Ratings
Collaboration9.01 Ratings7.02 Ratings
Testing and debugging7.01 Ratings8.02 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
AWS Data Exchange
7.0
1 Ratings
15% below category average
Informatica PowerExchange Connectors
8.3
2 Ratings
2% above category average
Integration with data quality tools7.01 Ratings8.02 Ratings
Integration with MDM tools00 Ratings8.52 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
AWS Data Exchange
-
Ratings
Informatica PowerExchange Connectors
7.7
2 Ratings
9% below category average
Simple transformations00 Ratings8.52 Ratings
Complex transformations00 Ratings7.02 Ratings
Best Alternatives
AWS Data ExchangeInformatica PowerExchange Connectors
Small Businesses
Dataloader.io
Dataloader.io
Score 8.3 out of 10
Dataloader.io
Dataloader.io
Score 8.3 out of 10
Medium-sized Companies
InfoSphere
InfoSphere
Score 10.0 out of 10
InfoSphere
InfoSphere
Score 10.0 out of 10
Enterprises
InfoSphere
InfoSphere
Score 10.0 out of 10
InfoSphere
InfoSphere
Score 10.0 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Data ExchangeInformatica PowerExchange Connectors
Likelihood to Recommend
2.2
(2 ratings)
8.0
(2 ratings)
Likelihood to Renew
1.0
(1 ratings)
-
(0 ratings)
User Testimonials
AWS Data ExchangeInformatica PowerExchange Connectors
Likelihood to Recommend
Amazon AWS
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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Informatica
1.- Scenaries with poor sources of data is not recomended (Very bad ROI). The solution is for medium-big enterprises with a lot of sources of data and users. 2.- Bank and finance enviroment to integrate differente data form trading, Regulatory reports, decisions makers, fraud and financial crimes because in this kind of scenary the quality of data is the base of the business. 3.- Departments of development and test of applications in enterprises because you can design enviroments, out of the production systems, to development and test the new API's or updateds made.
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Pros
Amazon AWS
  • 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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Informatica
  • We have scheduled batch jobs within our integration and it is something that Informatica is best use case for us.
  • Data retrieving from X number of software and applying the same to the Y number of fields of specific software is something that it is incredible at.
  • The across platform integration and a variety of Universal easy to apply custom build solutions is good to asses any risks.
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Cons
Amazon AWS
  • 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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Informatica
  • Define customer business rulers to put the data in the repository with easy develpoment.
  • Quickly transfer and integrate data between cloud and local RDB/SYSTEMS
  • Very simple to navigate between data before and after integration/transformation was made
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Likelihood to Renew
Amazon AWS
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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Informatica
No answers on this topic
Alternatives Considered
Amazon AWS
No answers on this topic
Informatica
I was not part of the decision-making team that chose Informatica over the Oracle Warehouse Builder decision. But I believe, the Transformation, Scheduling, Data loading and complexity required for the solution we were building for the Order to Cash and Billing management, Informatica stood out and that is the reason we have extensively deployed it throughout the workflow
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Return on Investment
Amazon AWS
  • 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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Informatica
  • Positive: reduce the time of testing new API's with a data integrationin a 35% aprox.
  • Positive: improve the time to access to quality data for all branchs and different offcies in the world inmore than 100%
  • Positive: reduce the cost of maintenance of servers for data.(Now the data is in Cloud) in 100%(The local servers was eliminated)
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ScreenShots