Google's BigQuery is part of the Google Cloud Platform, a database-as-a-service (DBaaS) supporting the querying and rapid analysis of enterprise data.
$6.25
per TiB (after the 1st 1 TiB per month, which is free)
The Trade Desk
Score 9.0 out of 10
N/A
The Trade Desk is the eponymous flagship product from the company headquartered in Ventura California, a demand-side / data management hybrid platform (DSP / DMP).
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Pricing
Google BigQuery
The Trade Desk
Editions & Modules
Standard edition
$0.04 / slot hour
Enterprise edition
$0.06 / slot hour
Enterprise Plus edition
$0.10 / slot hour
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Offerings
Pricing Offerings
Google BigQuery
The Trade Desk
Free Trial
Yes
No
Free/Freemium Version
Yes
No
Premium Consulting/Integration Services
No
No
Entry-level Setup Fee
No setup fee
No setup fee
Additional Details
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More Pricing Information
Community Pulse
Google BigQuery
The Trade Desk
Features
Google BigQuery
The Trade Desk
Database-as-a-Service
Comparison of Database-as-a-Service features of Product A and Product B
Event-based data can be captured seamlessly from our data layers (and exported to Google BigQuery). When events like page-views, clicks, add-to-cart are tracked, Google BigQuery can help efficiently with running queries to observe patterns in user behaviour. That intermediate step of trying to "untangle" event data is resolved by Google BigQuery. A scenario where it could possibly be less appropriate is when analysing "granular" details (like small changes to a database happening very frequently).
After extensive research of DSP and DMP platforms in the market, our agency made the wise decision to license TTD's platform and develop a long-term partnership. TTD continues to innovate and offer cutting-edge media buying solutions, access to more audience data segments, and access to new and emerging media channels like CTV/OTT and digital-out-of-home. We couldn't be happier with TTD's technology and is one of the most advanced agency users of TTD is a key differentiator for our agency.
GSheet data can be linked to a BigQuery table and the data in that sheet is ingested in realtime into BigQuery. It's a live 'sync' which means it supports insertions, deletions, and alterations. The only limitation here is the schema'; this remains static once the table is created.
Seamless integration with other GCP products.
A simple pipeline might look like this:-
GForms -> GSheets -> BigQuery -> Looker
It all links up really well and with ease.
One instance holds many projects.
Separating data into datamarts or datameshes is really easy in BigQuery, since one BigQuery instance can hold multiple projects; which are isolated collections of datasets.
Please expand the availability of documentation, tutorials, and community forums to provide developers with comprehensive support and guidance on using Google BigQuery effectively for their projects.
If possible, simplify the pricing model and provide clearer cost breakdowns to help users understand and plan for expenses when using Google BigQuery. Also, some cost reduction is welcome.
It still misses the process of importing data into Google BigQuery. Probably, by improving compatibility with different data formats and sources and reducing the complexity of data ingestion workflows, it can be made to work.
Reporting platform leaves a lot to be desired. Requires a lot of trial/error to pull exactly what you need to drive optimizations/learnings.
The "stop"/"continue bidding" feature for sitelists, devices, player sizes, etc is awful. When you set something up specifically, you should not have the AUTOMATIC option to serve beyond those parameters.
Trafficking video (VAST/VPAID) tags requires a manual insertion of a click URL. Completely redundant ask and is not provided by advertisers as that URL lives within the ad tag. Should not require multiple actions traffic a video tag.
Creative approval process (manual) doesn't seem necessary and is not a part of peers' platforms. There is no "pause/deactivate" feature for creative, you remove them or adjust the end date.
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.
I think overall it is easy to use. I haven't done anything from the development side but an more of an end user of reporting tables built in Google BigQuery. I connect data visualization tools like Tableau or Power BI to the BigQuery reporting tables to analyze trends and create complex dashboards.
easy to understand dashboards and the self started ability to get going on your own terms. It's great to target niche groups across the world while still being able to report at a high level to C-suite. Wish it drove more conversions, but display can be a struggle there. Overall, would use it again.
I have never had any significant issues with Google Big Query. It always seems to be up and running properly when I need it. I cannot recall any times where I received any kind of application errors or unplanned outages. If there were any they were resolved quickly by my IT team so I didn't notice them.
I think Google Big Query's performance is in the acceptable range. Sometimes larger datasets are somewhat sluggish to load but for most of our applications it performs at a reasonable speed. We do have some reports that include a lot of complex calculations and others that run on granular store level data that so sometimes take a bit longer to load which can be frustrating.
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.
We noted no issues with our limited interaction with support. The software operated just as expected and we found that we were able to navigate needs on our own. We understand that The Trade Desk offers excellent support, so we believe it will be a good resource to us in the future.
PowerBI can connect to GA4 for example but the data processing is more complicated and it takes longer to create dashboards. Azure is great once the data import has been configured but it's not an easy task for small businesses as it is with BigQuery.
The Trade Desk is a much better product than AppNexus. Even though both products showed promise awhile back, AppNexus stopped innovating and The Trade Desk became specialists on data, cross site tracking and CTV inventory thus having a better and more unique product that actually adds value to your advertising efforts.
We have continued to expand out use of Google Big Query over the years. I'd say its flexibility and scalability is actually quite good. It also integrates well with other tools like Tableau and Power BI. It has served the needs of multiple data sources across multiple departments within my company.
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.
Previously, running complex queries on our on-premise data warehouse could take hours. Google BigQuery processes the same queries in minutes. We estimate it saves our team at least 25% of their time.
We can target our marketing campaigns very easily and understand our customer behaviour. It lets us personalize marketing campaigns and product recommendations and experience at least a 20% improvement in overall campaign performance.
Now, we only pay for the resources we use. Saved $1 million annually on data infrastructure and data storage costs compared to our previous solution.
The good thing about having an agency account is The Trade Desk lets you add your markups to the client billing.
We had a very positive response from clients regarding their perceived ROI on their ad spend through The Trade Desk.
We did not have many national clients, mostly local dealerships, so it was difficult for them to allocate a lot of funds to display advertising, even though the ROI yield was acceptable.