What do you like best about the product?

Adverity lets our analysts source data and provide client focused reporting faster than ever. No more client specific data processes or reporting. Our analysts can be significantly more effecient and effective.

What do you dislike about the product?

Reporting and dashboards feel basic and Adverity is slow to adopt generative AI and integrate it into the product.

What problems is the product solving and how is that benefiting you?

Adverity manages all of our APIs and provides a universal marketing schema for all of our client data. Adverity is amazing at allowing us to setup a client instance quickly and deliver preformatted reports in days.

What do you like best about the product?

Its very intuitive to use and has all of the key data sources we need. In instances where there is not a data source, the Adverity team plays a crucial partner in helping to set up new connections.

What do you dislike about the product?

They still do not have a robust set of features to allow for dev vs. production data environments, but I know its on their roadmap. Their newer internal data storage solution is very limited, but we send to an external storage, so it hasn't been a huge blocker.

What problems is the product solving and how is that benefiting you?

This is a perfect solution for smaller orgs that may not be able to stand up a full data engineering team.

What do you like best about the product?

The layout of the site is extremely user-friendly and the support team is constantly ready to answer any question(s) you may run into while setting up datastreams and enrichments. Our company made the switch from Trifacta Data Prep to Adverity a couple of months ago, and although there has been a lot of new terrain to cover, we're so happy we went this route!

What do you dislike about the product?

Overall, it's a great platform, but the one thing I've found frustrating, moving from Trifacta Data Prep to Adverity, is the inability to see discrepancies without running a fetch and getting an "issue".

What problems is the product solving and how is that benefiting you?

Manual troubleshooting

What do you like best about the product?

We use Adverity to collect data from marketing platforms to send it to a cloud. The tool is user-friendly and there is a dedicated support team to answer your questions.
We use it every day and we rarely see problems with data being collected.

What do you dislike about the product?

It may lack information on how to use certain KPIs and dimensions, especially for platforms which have their own specificities in the API. However, after a few months of usage, it's much easier.

What problems is the product solving and how is that benefiting you?

Avderity makes it much easier to collect data from various data platforms and send them to a unique place. This makes our dashboards' creation much easier and help answer our clients' needs

What do you like best about the product?

For a professional Data Engineer or Analyst using Adverity on a daily basis, it is hard to think of any benefit. For someone unexperienced it may provide benefits in setting up first data pipelines. But even at this task Adverity is extremely limited.
Yet, it makes the start and integration very easy.

What do you dislike about the product?

Adverity openly advertises itself as a tool to handle "big data". The reality is, once you are processing vast amounts of data, it crashes due to missing ressources. Contacting the support will lead to solutions like: "Try to separate your data into smaller pieces and process them stepwise" - This is not how you are supposed to handle data.
Even smaller volume of data will lead to slow processing. Automatic schema recognition is not really working. "Enrichments", which are supposed to be modules to transform your data, are extremely limiting and unreliable. We were even told by the Account Manager, that it is not really serving as a full data transformation tool.
Setting up connections to sources is also extremely tidious. Some offer customization, some do not offer any customization.
Probably the most surprising fact for any data engineer is, that batches are stored as .csv files on their servers. Besides that, this is extremely inefficient as it also makes quick and easy data exploration not possible.
Additionally, agencies of any kind should avoid working with Adverity, for the simple fact that their pricing models are not adjusted to agencies: they massively scale up costs when having multiple accounts in your marketing tools.

What problems is the product solving and how is that benefiting you?

It did make data collection easier in some aspects.

What do you like best about the product?

The abilty to connect all my data in one place. The fact that I can connect everything (even my excel documents) to bring it data helps to streamline my reports.

What do you dislike about the product?

I find there to be a learning curve to the platform. It takes a while to learn how to get things to flow smoothly and how to filter things though explore so that the correct columns are presented.

What problems is the product solving and how is that benefiting you?

It is helping us bring many datastreams together so that all data can be looked at holistically.

What do you like best about the product?

Reduced time and work it takes to set up a report and import data

What do you dislike about the product?

Sometimes restricted in the data we can ingest

What problems is the product solving and how is that benefiting you?

adverity is consolidating the work that it used to take to provide data to clients, as well as providing client direct access to that data, reducing back and forth in communications and versioning of report outputs

What do you like best about the product?

Very versatile, easy to use, and easy to integrate data

What do you dislike about the product?

No downsides. The platform is functional and has a solution to every problem.

What problems is the product solving and how is that benefiting you?

Slicing and dicing the data to make it easy to understand and analyze from a client perspective.

What do you like best about the product?

The platform is easy to use and suits a range of requirements from the most basic tasks to some of the more complex ones. The platform does this in rapid time and makes sifting through large datasets incredibly easy.

What do you dislike about the product?

A possible improvement would be to have a better overview of data that is being imported such as the number of rows, total disk usage and potential feeds or imports which are not used and can therefore be deleted. With significant amounts of data being imported there is a large amount that does not get used or which gathers dust. A better way to monitor these and be able to identify what can be deleted or decommisioned would be helpful.

What problems is the product solving and how is that benefiting you?

Storing aggregated data in a way that this can be monitored over time to identify shifts and changes. The main usage is as a way of monitoring email campaign performance coming out of Salesforce Marketing Cloud. With a bespoke solution currently being used, we are able to track emails in greater detail.

What do you like best about the product?

Reviewer technical level: BI Engineering/Analytics
Company use case: Primarily ETL
Review Date: 2023-09-06
Time using platform: 6+ Months

Foundational functionality:
•Straightforward and solid. Large swath of API connectors to work from. Lot's of thoughtful QoL additions that make managing hundreds of connections at the enterprise level fairly straightforward that were overlooked in other platforms we demo'd. Setting up siloed workspaces was simple, authorizing connections was easy, and the platform does a good job of notifying you when there are any authentication issues (which has been a rare occurrence).

Flexibility/Customization:
•Probably the most standout feature of Adverity we noticed in the demo phase was the inclination for flexibility and customization. You can set data extracts without about any refresh window and cadence you want, up until the point you run into the APIs providers' limits themselves. This makes setup much less tedious. Other platforms we trialed often imposed refresh window and cadence limits, which frustrate the datastream config/testing processes.
•You can get the data transformed in about any way you'd need it through Adverity's "enhancements" tools.
•Data previewing and local exporting is great - makes testing and troubleshooting a breeze.

Support:
•What kind of support you'll get is really the single largest source of apprehension when contracting with a new vendor, and I have no shortage of wonderful things to say about the support we've received from Adverity's team.
•Account Support - Our manager Alex does a phenomenal job at staying engaged with company priorities, steps into the technical conversation to escalate when necessary, and has also provided guidance on how to approach stickier technical issues when it's on the Adverity+API Provider side.
•Technical Support - Where Adverity has really shined. Every single technical question or issue we've brought to Adverity and our frontline support Prez, and there have been quite a few, have been answered and addressed promptly. We feel valued and heard by their engineering team when we need things addressed.

Analytics/Visualizations:
•Cannot speak to these functionalities - we primarily use Adverity as an ETL vendor to ingest data to our internal data warehouse for on-prem analytics and reporting.

What do you dislike about the product?

Documentation:
•There are times that documentation seems lacking for some datas ources or enhancements, or that examples provided are a bit too basic. Adverity has been pretty good about taking feedback on these issues when we provide it though.

Transformations:
•Enhancements, while flexible overhaul, are often not very intuitive, or somewhat cumbersome. It's been the case that we'll have to walk through what we're trying to accomplish with the support team and get their instructions on what to do to accomplish a given transformation. They do tend to just work once set up though.

What problems is the product solving and how is that benefiting you?

We considered using our internal Data Engineering team to create and manage connectors to the platforms we use, but ultimately it's proven far more cost-efficient and agile to use a third-party vendor like Adverity to maintain those connections.