AWS Data Exchange vs. SolarWinds Task Factory

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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Since I started working with this great tool all data analysis programs have been running effectively. Implementation of projects and tasks have been effective and reliable. Data collected from each department gives us working plan on better management of various programs. The Dimension Merge SCD Transform helps us to load large volumes of data within a short period of time.

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• 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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• The single most beneficial component to Task Factory is the Upsert component. If you're familiar with writing MERGE statements in T-SQL, you'll appreciate the Upsert component. Drag the component into your Data Flow and a few clicks later you have a MERGE without the code complexities.
• Where some native SSIS components leave you wanting more, Task Factory extends on many of these components as well as support for data sources not native to SSIS components.
• The number of extra components that come in the Task Factory tool kit will expand your tool belt to do just about anything you need or want to accomplish in SSIS.

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• 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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• It was built by Pragmatic Works who sold it to SentryOne and now Solar Winds, concerned about future support. SolarWinds is discontinuing support for related products such as BiXpress.
• Had issues with connecting to certain versions of SQL Server - would fail when deploying one package - had to deploy the entire solutions.
• Occasional random failures observed with the Filter tranform.

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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.

Task Factory has become a key product for our use of doing ETL work in SSIS. Their custom SSIS components allow us to work simply on the data engineering side of things. We can ignore the lower level work needed to connect to disparate data sources. This allows us to work faster and provide more value to the business

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Compared to some of the other transformations I have worked with, it really is pretty simple for the type of functionality you get

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Overall, the best vendor we currently have on the data side of the house. No issues, issues are resolved very quickly and upgrades go without any issues.

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Overall it went smoothly. Had a couple of gotchas with licensing and upgrading but nothing that really stopped us.

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ZappySys is an alternative provider that we tested. However, we found the ease of use, set up and installation to be much simplier and quicker using Task Factory. ZappySys has a number of the same connectors but are more difficult to setup and the GUI is not as intuitive and simple to use.

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• 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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• We were able to support our developers with Task Factory features and reduce the development time by 40%.
• Recently Task Factory has changed their pricing module and it seems to be pretty costly for our process. Our business team has started to evaluate whether this is worth it going forward.

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A de minimis incentive was given to thank the reviewer for their time. The incentive was not used to bias or drive a particular response, nor was the incentive contingent on a positive endorsement. More Info