Fivetran vs. Plaid

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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Plaid is extremely well suited to be your payment API if you're a start-up looking to scale your banking connections fast and securely. Their API is fully functional upon integration. Most end-users have encountered Plaid before so it's a trusted platform for many consumers so even if you're a new app, users feel comfortable connecting their bank through Plaid.

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• Easily connects to source data using delivered connectors
• Transforms data into standard models and schemas
• Has very good documentation to help quickly setup connectors

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• Plaid connects with 100s of US consumer banks.
• Plaid continuously updates its software to meet the requirements of individual banks.
• Plaid can get your company's payment processing up and running faster than traditional methods.

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• Very difficult to get connectors enhanced if a specific needed object is not supported by them
• Depending on the edition needed and the data volumes, can get quite expensive

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• Consumer feedback or troubleshooting typically comes back to us because Plaid doesn't have an easy way of re-routing support once a user encounters a problem.
• Update timelines could be clearer when they are working on updating a connection with a certain bank.
• The search functionality for the user to find their bank could be a little more robust.

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Very easy and intuitive to setup and maintain as there usually are not that many options. Very well documented (e.g. how to setup each connector, how the schema looks like, any specific features of this connector etc.). Also the operation is intuitive, e.g. you have status pages, log pages, configuration pages etc. for each connector.

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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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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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• It has been very positive in serving BI team with new source requests
• It has been OK at scaling to match as data volumes as source data size grows

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• Plaid got us up and running with most US-based and even some international banks with minimal engineering effort.

Incentivized

Independently Invited by TrustRadius

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