Adverity

Score8 out of 10

5 Reviews and Ratings

What is Adverity?

Adverity is a fully-integrated data platform for automating the connectivity, transformation, governance & utilization of data at scale.

Categories & Use Cases

Integration with data quality tools
Integration with tools for cleansing, parsing and normalizing data according to business rules
Category average: 7.4
Connect to traditional data sources
Ability to connect to traditional data sources like relational databases, flat files, XML files and packaged applications
Category average: 8.9
Simple transformations
Simple data transformations are calculations, data type conversions, aggregations and search and replace operations
Category average: 8.9

Connecto to Big Data and NoSQL
Ability to connect to non-traditional data sources like Hadoop and other big data technologies, and NoSQL databases
Category average: 7.6
Testing and debugging
Tool to debug and tune for optimal performance
Category average: 7.2
Complex transformations
Complex data transformations are data normalization, advanced data parsing, etc.
Category average: 7.4

#1 most frequent

Professional, Scientific, and Technical Services

49.1%

81 installations of 165

#2 most frequent

Information

13.3%

22 installations of 165

#3 most frequent

Manufacturing

12.1%

20 installations of 165

Chris Baca

Data Analyst in Marketing at Green Line Digital (51-200 employees employees)

Use Cases and Deployment Scope

We use Adverity to extract, transform, and load digital marketing data from various platforms (Google Ads, GA4, Facebook Ads, etc.) to an external data warehouse and an Adverity-owned data lake. We also use Adverity's in-built data visualization and exploration to create dashboards and reports for our clients. Adverity has dozens of pre-built API connections to various platforms, which makes managing extraction much simpler than using an in-house tool.

Pros

Data Extraction
Authorization Management
Workspace Organization
Data Governance

Cons

Rigid data visualization tools
Transformations are locked in to Adverity-specific ways of enriching data
No integrations with standard tool sets like dbt or SQL

Return on Investment

Scale - the biggest advantage has been the ability to extract, transform, and load data for 150+ clients with a three-person team without a software or data engineering team to support. Adverity would easily allow us to scale up to double or triple the client load if needed.
Templates - Another advantage related to scale, Adverity allows us to run a templated approach to extraction, transformation, and also data visualization and reporting so that onboarding is very fast. Typical clients with up to 15 data sources can be onboarded in as little as a couple of hours.

Usability

Alternatives Considered

Supermetrics, Airbyte, Funnel.io, NinjaCat and Looker Studio

Other Software Used

Google BigQuery, Google Analytics, Airtable

Verified User

Employee in Engineering (51-200 employees employees)

Use Cases and Deployment Scope

We use Adverity to fetch data in one place and load into our data warehouse. We use a variety of digital media platforms to pull in data being able to track that all in one place by platform and client. We don't have to worry about pulling from multiple different places and can instead rely on Adverity to fetch data.

Pros

Customer Service
Clarity and detailed
consistent communication

Cons

Quicker platform creation
faster loading
none

Return on Investment

They have allowed us to use them to fetch data so we don't have to worry about it
We would have to hire another person to consistently maintain our data.

Usability

Other Software Used

Google BigQuery, Tableau Desktop, Anthropic Claude

Alex Holt View profile

Director, Digital Advertising - FUEL IMV in Product Management at Cars.com (1001-5000 employees employees)

Pros

User-friendly report setup and ingestion
Easy integration with multiple data endpoints, making it easy for users to drive value
Incredible customer support, allowing users (regardless of technical background) to act like power-users

Cons

Adverity is running into some issues being able to custom-develop API connectors at scale/speed. This is mostly because of their rapid growth and incredible core product. If you need custom development, be prepared to use one of the many easy-to-use workarounds Adverity offers for endpoints they don't have a direct integration with. Don't worry - you'll get your data either way.

Most Important Features

Robust set of connectors
Great Customer Service

Return on Investment

Adverity has saved hundreds of man hours per month in reporting and data aggregation. I can think of no solution we've onboarded that has saved so much human capital expense for so little effort in setup and maintenance.

Alternatives Considered

Funnel.io and Improvado

Other Software Used

Google BigQuery, Tableau Desktop

Verified User

Manager in Marketing (51-200 employees employees)

Use Cases and Deployment Scope

In one of my previous roles (digital marketing agency), we utilised Advertity for data visualisation on a number of our different clients. As we were an agency that had a vast amount of services, and provided a lot of these for our clients it meant that we needed to be experts on our data set and what it was doing. We used Advertity to combine all of our insights together, particularly to be utilsed by our paid media team, to provide opportunities for enhancements. I was a user that often went into the dashboard and reviewed the data.

Pros

Customizable dashboards, that you could change and make unique to your specific need / business.
Combining a range of data sets into one view.
Easily sharable insights, that you can share internally or also with clients.

Cons

I think it would have been more user friendly if there was more labelling capabilities, so that when you are sharing the dashboard they would explain what the data is - rather than depending on someone knowing how to use the dashboards or being there to explain it.
Our teams found that some of the scheduling functionality could be a little big buggy, so this was something that needed extra care and attention, so therefore may be an area that needs to be improved (unless it was just our account and usage).

Most Important Features

Combining different data sets, into one overall view
Creating multiple dashboards, that allow cross collaboration between various teams

Return on Investment

This tool has allowed us to be able to see areas for opportunities, when all of the data has been combined
We were also able to better prioritise actions and where to focus our attention, when we had one view where all of the data was together. This allowed us to deliver better results for our clients, and also have a clearer roadmap of activity

Alternatives Considered

Google Analytics, Google Analytics 360 and Google Ads

Other Software Used

Google Optimize, Hotjar, Decibel Insight, from Medallia

Salesforce Marketing Cloud Intelligence, on Marketing Cloud

Supermetrics

Fivetran

Adverity

What is Adverity?

Categories & Use Cases

Key Features

Top Performing Features

Integration with data quality tools

Connect to traditional data sources

Simple transformations

Areas for Improvement

Connecto to Big Data and NoSQL

Testing and debugging

Complex transformations

Most Frequent Users

Professional, Scientific, and Technical Services

Information

Manufacturing

Reviews

Use Cases and Deployment Scope

Pros

Cons

Return on Investment

Usability

Alternatives Considered

Other Software Used

Use Cases and Deployment Scope

Pros

Cons

Return on Investment

Usability

Other Software Used

Pros

Cons

Most Important Features

Return on Investment

Alternatives Considered

Other Software Used

Use Cases and Deployment Scope

Pros

Cons

Most Important Features

Return on Investment

Alternatives Considered

Other Software Used

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