At a glance
Adverity provides a sophisticated fully integrated data platform with not only a wider collection of data connectors but also a range of prebuilt data transformation options without the need to code. Our Transformation copilot can provide AI assistance for powerful and multi-tiered data transformations. Lastly, you can centrally govern your data in-platform so that it is clean, secure, and valid.
Who should use Adverity?
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Teams that want a simple no-code option to easily transform and enrich their data.
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Teams that also want the flexibility to code their own custom transformations.
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Teams that need to ingest data from specialized marketing data sources.
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Teams that want to explore their data and retrieve real-time insights in the same solution.
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Teams that need to seamlessly share their data with Business Intelligence platforms like Tableau, PowerBI, and Looker Studio.
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Teams that need to ensure their data is of high quality before it is shared with their chosen destination.
Who should use Fivetran?
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Teams that want a simple way to extract data from basic data sources and put them into a table.
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Teams that have a high level of SQL expertise or who otherwise don’t need to transform their data.
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Teams that only want data insights generated externally from their solution.
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Teams that are happy with minimal support.
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Teams that don’t need to seamlessly share their data with BI platforms.
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Teams that have the tools to ensure their data is of high quality outside of their etl/elt solution.
Features compared
Prebuilt connectors |
600+ |
500+ connectors (though many of these are categorized as “lite” with limited data granularity). |
|---|---|---|
Multi-tiered workspaces |
Yes - Hierarchical tree structure with workspaces on different levels. This means data and other content from child workspaces can be shared with Parent workspaces. |
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AI-assisted data transformations |
Wide range of easy-to-use prebuilt templates. Adverity also provides the option to either generate and apply transformations with our AI Transformation copilot or allow the user to code their own. |
Requires SQL coding |
Destinations |
28+ |
11 (does not include Looker Studio). |
Data governance features |
Yes - with Adverity you get a range of features and options to easily monitor data quality and centrally manage access. |
Basic - limited user access control, no data quality features, and a simple dashboard for monitoring the pipeline. |
Data exploration |
Yes - With Adverity you also get access to data exploration features. |
None |
Granularity |
Extremely high with enormous flexibility on what you fetch. |
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Data quality |
Fully customizable monitoring features are available to ensure high-quality data. |
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Bring your own storage (Data Warehouse) |
All ingested data and downstream actions (transformations & data quality monitoring etc.), can be fully hosted. This data can be shared externally to other BI tools and apps. |
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Scalability |
Multi-tiered workspaces, a range of options to administer bulk changes to data entities, and more with our scalability suite. |
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Smart naming conventions |
Yes - Enforce naming conventions and be alerted when criteria is violated. Split out the taxonomy into different fields to pivot your data further. |
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Conversational AI |
Yes - Data Conversations enables dynamic, real-time interactions with ALL your data that can be continually probed for deeper insights. Teams can collaborate on these insights through access to a shared catalogued library. |
No |
Support |
Yes (scores 93% on G2) |
Yes (scores 79% on G2) |
Don’t just take our word for it!
See how G2 users compare Fivetran and Adverity below. Or check it out for yourself on G2’s website!
Adverity vs Fivetran - in depth
Connectors
Fivetran lists 500+ connectors but a large portion of these are categorized as "lite" meaning that they are only for specific use cases and are limited in the granularity of data that they can ingest. Fivetran users are further restricted on where they can extract data from with many popular data sources lacking a connector, including Moz, SemRush, and Google Trends.
Adverity has more than 600 connectors with a strong focus on marketing data sources. With the option to also use various ‘universal connectors’ you can connect to almost any data source you need.
No-code/low-code?
In Fivetran, all data transformations are SQL-based which means, unless your team is experienced in SQL, additional resources are required to perform even basic data transformations.
Meanwhile, Adverity provides a range of prebuilt yet powerful data transformations that cover a range of use cases including Smart Naming Conventions, Currency Conversion, and Joining Datastreams/Datasets. Skilled coders can build their own custom transformations while less technical users have the option of using our AI-powered Transformation CoPilot to achieve the same. With Instant Schema Mapping, blending your data as it’s ingested is easy with automapping, in-built suggestions, and robust governance controls.
Fivetran is a simple data pipeline tool for automating the extraction of data to the selected destinations.
However, with the bare minimum granularity offered for a large portion of the data sources (lite connectors) and the prerequisite coding knowledge required to perform transformations, this means that the range of use cases as well as accessibility Fivetran offers is limited.
Adverity provides a more sophisticated integrated data platform with not only a wider collection of robust data connectors but also a range of simple to complex transformations that are accessible to all users - regardless of technical skill.
Lastly, Adverity users have a greater degree of control over their data quality, with the option to use AI to guarantee that data shared with their destinations leads to superior insights and business decisions.
Need to migrate from an existing tool?
Relax. With Adverity, migration is hassle-free, backed by expert support and implementation teams dedicated to ensuring a seamless experience for your business.
They said it, not us!
"Frankly, the service, UI, and ease-of-use for Adverity made it a no brainer compared to the competition."
Alex Holt
Director, Digital Advertising, FUEL IMV
"Supermetrics and similar solutions pull the data, but there is a ton of data strategy around schema naming conventions and work to manipulate the data that still needs to be done."
Capterra review
"I dislike having to pay per module [with Supermetrics]. It would be nice to have an affordable plan where I could integrate everything that Supermetrics has to offer. It’s almost too expensive to use."
G2 review
Ready for the proof?
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