AWS Data Exchange vs. Talend Data Integration

Overview
ProductRatingMost Used ByProduct SummaryStarting Price
AWS Data Exchange
Score 5.8 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
Talend Data Integration
Score 7.8 out of 10
N/A
The Talend Integration Suite, from Talend, is a set of tools for data integration.N/A
Pricing
AWS Data ExchangeTalend Data Integration
Editions & Modules
No answers on this topic
No answers on this topic
Offerings
Pricing Offerings
AWS Data ExchangeTalend Data Integration
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 ExchangeTalend Data Integration
Top Pros
Top Cons
Features
AWS Data ExchangeTalend Data Integration
Data Source Connection
Comparison of Data Source Connection features of Product A and Product B
AWS Data Exchange
8.0
2 Ratings
3% below category average
Talend Data Integration
8.2
9 Ratings
1% below category average
Connect to traditional data sources7.02 Ratings8.89 Ratings
Connecto to Big Data and NoSQL9.01 Ratings7.68 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
Talend Data Integration
7.9
9 Ratings
3% below category average
Data model creation9.01 Ratings7.28 Ratings
Metadata management9.01 Ratings8.08 Ratings
Business rules and workflow7.01 Ratings8.87 Ratings
Collaboration9.01 Ratings5.58 Ratings
Testing and debugging7.01 Ratings8.89 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
Talend Data Integration
7.8
8 Ratings
5% below category average
Integration with data quality tools7.01 Ratings7.68 Ratings
Integration with MDM tools00 Ratings8.08 Ratings
Data Transformations
Comparison of Data Transformations features of Product A and Product B
AWS Data Exchange
-
Ratings
Talend Data Integration
8.8
9 Ratings
5% above category average
Simple transformations00 Ratings8.89 Ratings
Complex transformations00 Ratings8.89 Ratings
Best Alternatives
AWS Data ExchangeTalend Data Integration
Small Businesses
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Score 9.6 out of 10
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Score 9.6 out of 10
Medium-sized Companies
IBM InfoSphere Information Server
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Score 8.1 out of 10
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Score 8.1 out of 10
Enterprises
IBM InfoSphere Information Server
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Score 8.1 out of 10
IBM InfoSphere Information Server
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Score 8.1 out of 10
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User Ratings
AWS Data ExchangeTalend Data Integration
Likelihood to Recommend
1.0
(2 ratings)
8.3
(18 ratings)
Likelihood to Renew
1.0
(1 ratings)
-
(0 ratings)
Usability
-
(0 ratings)
9.0
(1 ratings)
Support Rating
-
(0 ratings)
6.6
(4 ratings)
User Testimonials
AWS Data ExchangeTalend Data Integration
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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Qlik
The same way you design data integration job can be used to design services. It is easy to enhance by custom components and can adapt to all requirements. Talend Data Integration connects to [a] multitude of data sources and streaming service. Very easy interface to design complex applications without spending much time on coding. Easy to learn and master. Talend constantly strives to better itself by adding more features and functionalities.
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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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Qlik
  • We used Talend to ETLing the data from myriad sources such Oracle Database, Clarify, Salesforce, Sugar CRM, SQL DB, MQ, Stibo Step, FTP, Netezza, and Files.
  • We leverage Talend transformation capabilities for stitching the data , unions and join
  • We successfully created the final unified set that can be used by business
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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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Qlik
  • Pricing for sure can be the area for improvement.
  • Real time processing is slow as compared to other tools like Abinitio.
  • While developing batches, it crashes a lot. It may be the issue with me, but I wanted to highlight it.
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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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Qlik
No answers on this topic
Usability
Amazon AWS
No answers on this topic
Qlik
We use Talend Data Integration day in and day out. It is the best and easiest tool to jump on to and use. We can build a basic integration super-fast. We could build basic integrations as fast as within the hour. It is also easy to build transformations and use Java to perform some operations.
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Support Rating
Amazon AWS
No answers on this topic
Qlik
Good support, specially when it relates to PROD environment. The support team has access to the product development team. Things are internally escalated to development team if there is a bug encountered. This helps the customer to get quick fix or patch designed for problem exceptions. I have also seen support showing their willingness to help develop custom connector for a newly available cloud based big data solution
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Alternatives Considered
Amazon AWS
No answers on this topic
Qlik
In comparison with the other ETLs I used, Talend is more flexible than Data Services (where you cannot create complex commands). It is similar to Datastage speaking about commands and interfaces. It is more user-friendly than ODI, which has a metadata point of view on its own, while Talend is more classic. It has both on-prem and cloud approaches, while Matillion is only cloud-based.
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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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Qlik
  • It’s only been a positive RoI with Talend given we’ve interfaced large datasets between critical on-Prem and cloud-native apps to efficiently run our business operations.
  • 40K+ plots data, covering 1K+ crop varieties.
  • 3K+ Customer & their credit data, 3K+ product inventory & pricing.
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