Fivetran vs. IBM Confluent

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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Very reliable product and help with streaming messages without fail which is a significant confidence booster as an SRE leader. Would recommend the product considering the fact that now it is backed by IBM in addition to all IBM Confluent was doing well before the acquisition. Has been a game changer for our organization

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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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• It works really well in providing data context for our customers.
• It is helpful in real time data streaming.
• It is really wonderful tool for doing data validations and massaging the data.

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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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• Iit needs to improve in AI agents usage.
• It needs to be more user friendly.
• It is too complicated for beginners.

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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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Kafka and Schema Registry are the rock solid fully managed offerings from IBM Confluent Cloud. Other than that the rest of the offerings do not work as expected.

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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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The support from the Confluent platform is great and satisfying. We have been working with Confluent for more than a year now. They sent out resident architects to help us set up Confluent cluster on our cloud and help us troubleshoot problems we have encountered. Overall, it has been a great experience working with the Confluent Platform.

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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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For our use case it was very important that the technology we were working with fit into our Azure architecture, and met our data processing size requirements to stream data within certain SLAs. Confluent more than met our performance requirements and compared to the others scale options and cost to run it was more than financially viable as a platform solution to our global operations.

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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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• IBM Confluent helps us get data moving from system to system at near real time.
• IBM Confluent makes pushing data into a data lake easy - analytics, targeted deals, etc
• The RBAC and ACL setup helps us govern and secure our data, even between teams/applications.

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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