ChartMogul vs. Fivetran

For businesses that rely on subscription/recurring revenue models, especially within SaaS. Once everything is all plugged in, it's so easy to generate granular reports and insights. Straight-up eCommerce businesses that don't rely on a recurring/subscription model might not get as much value.

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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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• Data Ingestion - Because we use a payment processor that ChartMogul understands, they are able to ingest the data automatically and process it with almost no input from us.
• Analysis and Insights - Once we got our data into ChartMogul, we immediately started seeing some patterns in our data that hadn't previously been apparent to us.
• Customizability - ChartMogul makes it fairly easy to customize and extend the dashboard (and to enrich our data manually via the API).

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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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• ChartMogul doesn't always integrate both ways well. When data is modified that has been previously pushed to ChartMogul, bugs can occur.
• I haven't seen an A/R turnover report but this would be helpful to have.

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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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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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Independently Invited by TrustRadius

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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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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

Never used!

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

ChartMogul felt like the market leader for SaaS. Its ease-of-use, visual reporting, and overall feature set seemed to align with exactly what we needed. It provides everything needed when it comes to tracking our revenue month-over-month.

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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

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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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

• We are able to see how our company is doing in terms of churn, sales, and overall health.
• It's a fantastic resource to drill down by customers and learn past subscription history and trends.

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Independently Invited by TrustRadius

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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

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