71 Reviews and Ratings
250 Reviews and Ratings
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.Incentivized
Google BigQuery really shines in scenarios requiring real-time analytics on large data streams and predictive analytics with its machine learning integration. Teams have been using it extensively all over. However, it may not be the best fit for organizations dealing with small datasets because of the higher costs. And also, it might not be the best fit for highly complex data transformations, where simpler or more specialized solutions could be more appropriate.Incentivized
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.Incentivized
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.Incentivized
Biggest challenge we faced is teaching the use of it to our employees how to use it. The UI Should be easy and to understand for all fields.The AdWords integration is not easy to do.UI is sometimes slow and doesn't load Analyticals for more than 24 hours.Incentivized
It is challenging to predict costs due to BigQuery's pay-per-query pricing model. User-friendly cost estimation tools, along with improved budget alerting features, could help users better manage and predict expenses.The BigQuery interface is less intuitive. A more user-friendly interface, enhanced documentation, and built-in tutorial systems could make BigQuery more accessible to a broader audience.Incentivized
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.Incentivized
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.Incentivized
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.Incentivized
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.Incentivized
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.Incentivized
I have used Snowflake and DataGrip for data retrieval as well as Google BigQuery and can say that all these tools compete for head to head. It is very difficult to say which is better than the other but some features provided by Google BigQuery give it an edge over the others. For example, the reliability of Google is unmatchable by others. One thing that I really like is the ability to integrate Data Studio so easily with Google BigQuery.Incentivized
None so far. Very satisfied with the transparency on contract terms and pricing model.
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.
Overall a Positive Return for Business who go All in on the Adobe StackSolid work for brokering and anonymously sharing data between first and second partiesThe death of TRUE 3rd party data has lessened the effectiveness of all DMPsIncentivized
Pricing has been very reasonable for us. The first 10 GB of storage is free each month and costs start at 2 cents per GB per month after that. For example, if you store 1 terabyte (TB) for a month, then the cost would be $20. Streaming data inserts start at 1 cent per 200 megabytes (MBs). The first 1 TB of queries is free, with additional analysis at $5 per TB thereafter. Meta data operations are free.Big Query helps reduce the bar for data analytics, ML and AI. BQ takes care of mundane tasks and streamlines for easy data processing, consumption. The most impressive thing is the ML and AI integration as SQL functions, so the need for moving data around is minimized.The visuals of ML models is very helpful to fine tune training, model building and prediction, etc.Incentivized