AWS Data Exchange vs. Fivetran

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Exchange
Score 5.6 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
Fivetran
Score 8.3 out of 10
N/A
Fivetran replicates applications, databases, events and files into a high-performance data warehouse, after a five minute setup. The vendor says their standardized cloud pipelines are fully managed and zero-maintenance. The vendor says Fivetran began with a realization: For modern companies using cloud-based software and storage, traditional ETL tools badly underperformed, and the complicated configurations they required often led to project failures. To streamline and accelerate…
$0.01
Pricing
AWS Data ExchangeFivetran
Editions & Modules
No answers on this topic
Starter
$0.01
per credit
Standard
$0.01
per credit
Enterprise
$0.01
per credit
Offerings
Pricing Offerings
AWS Data ExchangeFivetran
Free Trial
NoYes
Free/Freemium Version
NoNo
Premium Consulting/Integration Services
NoNo
Entry-level Setup FeeNo setup feeOptional
Additional Details
More Pricing Information
Community Pulse
AWS Data ExchangeFivetran
Top Pros
Top Cons
Features
AWS Data ExchangeFivetran
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
AWS Data Exchange
8.0
2 Ratings
2% below category average
Fivetran
7.6
6 Ratings
8% below category average
Connect to traditional data sources7.02 Ratings8.66 Ratings
Connecto to Big Data and NoSQL9.01 Ratings6.64 Ratings
Data Modeling
Comparison of Data Modeling features of Product A and Product B
AWS Data Exchange
8.2
1 Ratings
1% above category average
Fivetran
7.2
6 Ratings
12% below category average
Data model creation9.01 Ratings7.25 Ratings
Metadata management9.01 Ratings8.63 Ratings
Business rules and workflow7.01 Ratings4.24 Ratings
Collaboration9.01 Ratings8.93 Ratings
Testing and debugging7.01 Ratings7.12 Ratings
Data Governance
Comparison of Data Governance features of Product A and Product B
AWS Data Exchange
7.0
1 Ratings
16% below category average
Fivetran
6.8
5 Ratings
19% below category average
Integration with data quality tools7.01 Ratings6.74 Ratings
Integration with MDM tools00 Ratings7.02 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
AWS Data Exchange
-
Ratings
Fivetran
7.5
5 Ratings
11% below category average
Simple transformations00 Ratings7.55 Ratings
Complex transformations00 Ratings7.53 Ratings
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AWS Data ExchangeFivetran
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Score 9.6 out of 10
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Score 9.6 out of 10
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Score 8.2 out of 10
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Score 8.2 out of 10
Enterprises
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Score 8.2 out of 10
IBM InfoSphere Information Server
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Score 8.2 out of 10
All AlternativesView all alternativesView all alternatives
User Ratings
AWS Data ExchangeFivetran
Likelihood to Recommend
1.0
(2 ratings)
8.5
(7 ratings)
Likelihood to Renew
1.0
(1 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Performance
-
(0 ratings)
8.0
(1 ratings)
User Testimonials
AWS Data ExchangeFivetran
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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Fivetran
Fivetran's business model justifies the use-case where we require data from a single source basically a lot of data but if the requirement is not on the heavier side, Fivetran comes to costly operation when compared to its peers. Otherwise, I'll recommend Fivetran for stability and update and seamless service provider.
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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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Fivetran
  • Easily connects to source data using delivered connectors
  • Transforms data into standard models and schemas
  • Has very good documentation to help quickly setup connectors
Read full review
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
Read full review
Fivetran
  • More detailed logging
  • More flexible choices for time range over which records are synced
  • More options for masking and excluding sensitive data
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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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Fivetran
No answers on this topic
Usability
Amazon AWS
No answers on this topic
Fivetran
Just need to input connection info.
Read full review
Performance
Amazon AWS
No answers on this topic
Fivetran
It runs pretty well and gets our data from point A to point cluster quickly enough. Honestly, it's not something I think about unless it breaks and that's pretty rare.
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Alternatives Considered
Amazon AWS
No answers on this topic
Fivetran
We never seriously considered using anything else. Our data engineers had used Fivetran extensively in previous roles so when it came time to make a decision, there wasn't much of a process. They gladly signed the contract with Fivetran pretty quickly.
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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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Fivetran
  • Development cost have reduced for each connector
  • The pay-per-use model is still not out their which requires lot of overhead cost
Read full review
ScreenShots