At a glance
However, the range of use cases that can be served from within the platform are limited, with the absence of no-code transformations, data exploration, and data governance functionality.
Adverity provides a fully integrated data platform that makes data accessible to all users as needed through our user-friendly UI and natural language queries. Our scalability and data quality suite mean that anyone can quickly build a data foundation that is clean, secure, and valid for any use case.
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 in-platform.
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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 Airbyte?
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Teams that want a simple way to extract data from basic data sources and put them into a tables.
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Teams that only want to visually explore and glean insights into their data externally to their solution.
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Teams that are happy with minimal support.
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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 have the tools to ensure their data is of high quality outside of their etl/elt solution.
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Teams that don’t need to seamlessly share their data with BI platforms.
Features compared
Prebuilt connectors |
600+ |
550+ |
|---|---|---|
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. |
|
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. |
None |
Destinations |
28+ |
|
Data governance features |
Yes - with Adverity you get a range of features and options to easily monitor data quality and centrally manage access. |
|
Data exploration |
Yes - With Adverity you also get access to data exploration features. |
None |
Granularity |
Extremely high with enormous flexibility on what you fetch. |
|
Data quality |
Fully customizable monitoring features are available to ensure high-quality data. |
None |
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. |
|
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) |
Adverity vs Airbyte - in depth
Airbyte lists 550+ connectors but many of these are in the Alpha stages and not all connectors are available on all plans with some only being available on cloud subscriptions and others on self-managed plans.
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.
In Airbyte, all data transformations are done using DBT code/SQL within DBT which means there are a wide range of transformations that can be performed by coding expertise is required to execute them.
Meanwhile, Adverity provides a range of pre-built 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
It’s always important to have the flexibility to send your data where you need it. Airbyte offers 50+ native destinations you can send your ingested data to but the vast majority of these are in Alpha or Beta and are either data warehouses, datalakes or databases. To send data to Tableau, data must be sent to a PostGres SQL database first.
With Adverity's wider selection of destinations, you have increased versatility in sharing your data wherever you need it.
Airbyte is a simple data pipeline tool for automating the extraction of data to the selected destinations.
However, with a smaller range of out-of-the-box connectors and the prerequisite coding knowledge required to perform transformations, this means that the range of use cases as well as accessibility Airbyte 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
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