Dataddo vs. Panoply

Panoply is a powerful data warehousing and ETL tool, but its warehouse-first model may be the wrong choice for users
who don’t need that storage (or its limitations).

If you want a robust data management tool which adapts to your existing architecture, you need Dataddo.

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Any Data Source, Anytime

Any Data Source, Anytime

When it comes to connectors, Panoply has a large catalog, but no clear pathway to adding new data connectors for your niche vendor. On the other hand, Dataddo will create any new connector on request, for free, within 10 business days.

Dataddo’s team of data experts is there to support you 24/7. Whether you need advice selecting your metrics or help creating your full data infrastructure, our data architects are prepared to work with you to reach your goals.

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No Storage Limitations

No Storage Limitations

Since Panoply is a warehouse-first model, you can be limited by data storage (e.g. 100 GB for their Starter plan). Dataddo isn’t burdened by storage or row limitations; simply connect to the warehouse you’re already using, or use our interim storage when connecting to a BI tool.

We keep your connection to the platform encrypted for maximum security and peace of mind. And of course: GDPR compliant.

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Affordable and Transparent

Affordable and Transparent

Panoply’s first tier pricing plan is volume-based and starts at just under $500 a month, which is...a lot, especially if you’re working with just a couple of sources. Dataddo’s pricing is built on the number of sources you use per month, and starting at $20 per source, it’s one of the most affordable tools available.

As you add data sources, your Dataddo account will always keep you updated on costs for total pricing transparency, so it’s never a surprise.

Dataddo vs. Panoply

How does Dataddo stack up?

Dataddo
Panoply

Unlimited Rows

Unlimited Storage

Time to add new connectors

10 days

Unspecified

Chat/email support

All price plans

Upper tier only

Priced per source

End-to-end encryption

Join companies using Dataddo to centralize their data

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