Adverity or Fivetran?
Which is best for your business?
Who should use Adverity?
Teams that want a simple no-code option to easily transform and enrich their data.
Teams that also want the flexibility to code their own custom transformations.
Teams that need to ingest data from specialized marketing data sources.
Teams that also want the ability to explore their data in the same solution.
Teams that need to seamlessly share their data with Business Intelligence platforms like Tableau, PowerBI, and Looker Studio.
Teams that need to ensure their data is of high quality before it is shared with their chosen destination.
Who should use Fivetran?
Teams that want a simple way to extract data from basic data sources and put them into a table.
Teams that have a high level of SQL expertise or who otherwise don’t need to transform their data.
Teams that don’t want data visualization or integrated analytics tools within their solution.
Teams that are happy with minimal support.
Teams that don’t need to seamlessly share their data with BI platforms.
Teams that have the tools to ensure their data is of high quality outside of their etl/elt solution.
Features compared
Connectors |
600+ |
500+ connectors (though many of these are categorized as “lite” with limited data granularity). |
|---|---|---|
Data Transformation |
Easy to use prebuilt transformations plus the choice to code your own with optional AI assistance. |
Requires SQL coding |
Data Exploration |
Yes |
No |
Data Governance |
Yes - such as parent-child workspaces, an AI-powered data quality suite, and a full data pipeline performance manager. |
Basic - limited user access control, no data quality features, and a simple dashboard for monitoring the pipeline. |
Destinations |
16 pre-built plus custom options. |
11 (does not include Looker Studio). |
Support |
Yes (scores 93% on G2) |
Yes (scores 79% on G2) |
Capability |
Quality of support |
||
|---|---|---|
Has the product been a good partner in doing business? |
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Data Cleaning |
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Reporting |
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Product Direction (% positive) |
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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 Enrichment 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.
Data Exploration
You cannot explore ingested data within Fivetran either in table form or through visualizations.
Adverity offers data exploration options meaning you can instantly check and review your data even before you send it to its final destination.
Destinations
It’s always important to have the flexibility to send your data where you need it. Fivetran offers 11 native destinations you can send your ingested data to but it is worth noting this does not include common destinations such as Looker Studio and HubSpot.
With Adverity's wider selection of destinations, you have increased versatility in sharing your data wherever you need it.
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.
(Spoilers: We've done this before!)
Ready for the proof?
No pre-recorded, boring sales presentations. Just a straight-forward, honest chat about your marketing analytics needs and a personalized tour of our platform and how it might help you.
