If you are already using multiple other pieces of the Adobe Experience Cloud stack, adobe audience manager is an easy choice. It allows for quick and easy data activation for your first and potentially brokered 2nd party data. However this product will likely be absorbed into the adobe experience platform (AEP) soon. In the end I would wait to see where adobe is truly headed with this product before investing heavily without additional heavy adobe investments.
For organizations looking to avoid the overhead of managing infrastructure, BigQuery's server-less architecture allows teams to focus on analyzing data without worrying about server maintenance or capacity planning. Small projects or startups with limited data analysis needs and tight budgets might find other solutions more cost-effective. Also, it is not suitable for OLTP systems.
We are able to generate reports that provide valuable insights into potential customer behavior, allowing us to better focus our marketing efforts.
By allowing us to understand who are key audiences are and how they overlap with other brands and products, AAM allows us to get a fuller picture of how we should target our audience.
Reporting in AAM is wonderful in that it is easy to understand and exportable. The use of graphics and updates make it easier to share insights with various team members--even those with minimum experience in marketing and analytics.
Its serverless architecture and underlying Dremel technology are incredibly fast even on complex datasets. I can get answers to my questions almost instantly, without waiting hours for traditional data warehouses to churn through the data.
Previously, our data was scattered across various databases and spreadsheets and getting a holistic view was pretty difficult. Google BigQuery acts as a central repository and consolidates everything in one place to join data sets and find hidden patterns.
Running reports on our old systems used to take forever. Google BigQuery's crazy fast query speed lets us get insights from massive datasets in seconds.
We have to use this product as its a 3rd party supplier choice to utilise this product for their data side backend so will not be likely we will move away from this product in the future unless the 3rd party supplier decides to change data vendors.
Overall usability is great, as are most of Adobe's software. Maybe a UI refresh could make it a bit easier to do advanced functions or reporting but, overall, it works very well. This is something you take for granted with Adobe solutions because when you try another vendor you realize how bad it can be.
web UI is easy and convenient. Many RDBMS clients such as aqua data studio, Dbeaver data grid, and others connect. Range of well-documented APIs available. The range of features keeps expanding, increasing similar features to traditional RDBMS such as Oracle and DB2
AAM has good support, but the support is not as available, due to waiting time and queue. The instructions presented are available, but it navigation is not easy between pages. However, instructions are usually direct and straightforward, but any underlying thoughts or questions won’t be easily answered without support from their service.
BigQuery can be difficult to support because it is so solid as a product. Many of the issues you will see are related to your own data sets, however you may see issues importing data and managing jobs. If this occurs, it can be a challenge to get to speak to the correct person who can help you.
I personally like the Adobe Audience Manager interface and it's easier to use for beginners. It also has some features that Google does not, nor do its other competitors. It is worth the money and time spent, overall. I feel like it gives a bigger and more in-depth picture to our company's audience than other programs.
Google's Firebase isn't a competitor but we had to use Google's BigQuery because Google's Firebase's database is limited compared to Google's BigQuery. Linking your Firebase project to BigQuery lets you access your raw, unsampled event data along with all of your parameters and user properties. Highly recommend connecting the two if you have a mobile app.
Google Support has kindly provide individual support and consultants to assist with the integration work. In the circumstance where the consultants are not present to support with the work, Google Support Helpline will always be available to answer to the queries without having to wait for more than 3 days.
Google BigQuery has had enormous impact in terms of ROI to our business, as it has allowed us to ease our dependence on our physical servers, which we pay for monthly from another hosting service. We have been able to run multiple enterprise scale data processing applications with almost no investment
Since our business is highly client focused, Google Cloud Platform, and BigQuery specifically, has allowed us to get very granular in how our usage should be attributed to different projects, clients, and teams.
Plain and simple, I believe the meager investments that we have made in Google BigQuery have paid themselves back hundreds of times over.
