Google BigQuery has 3 pricing edition(s), from $0.04 to $0.10. A free trial of Google BigQuery is also available. Look at different pricing editions below and read more information about the product here to see which one is right for you.
Standard edition$0.04 / slot hourCloud | Enterprise edition$0.06 / slot hourCloud | Enterprise Plus edition$0.10 / slot hourCloud |
For the latest information on pricing, visit https://cloud.google.com/bigquery/pricing?utm_source=trustradius&utm_medium=referral&utm_campaign=trustradius_paid_subscription&utm_content=BigQuery
| Feature | Free Version | Paid Version |
|---|---|---|
| Phone | Available | Unavailable |
| Live Chat | Available | Unavailable |
| Available | Unavailable | |
| Forum/Community | Available | Unavailable |
| FAQ/Knowledgebase | Available | Unavailable |
| Video Tutorials / Webinar | Available | Unavailable |
Usage optimization Cost reduction Data discovery
and without practical limitations. Compared to RedShift, we found the cost model to be more fitted to our needs. BigQuery also has better integration
challenging to predict costs due to BigQuery's pay-per-query pricing model. User-friendly cost estimation tools, along with improved budget alerting features … Cost Effective as its pricing model allows businesses to pay … might find other solutions more cost-effective…
Make it more simple to administrate login from python. Difficult to estimate cost prior. … chosen to lift a requirement that was otherwise difficult to achieve. More expensive than initially estimated.
Due to its lower cost, we use BigQuery as our primary database to store most of our data. We also use BigQuery to run periodic analytical tasks. We mainly … Easier to do analytics Lower operational cost
Original setup can be challenging Depending on how you use it can become expensive
really involved with the finance side. But I am aware the solution is quite cost-effective.
First and foremost, Google BigQuery's pricing structure, based on data processing and storage, is more cost-effective for our needs. Secondly, since … warehouses with fixed costs regardless of usage, thanks to its pay-per-use pricing model with no upfront investment and ongoing…
Reduced cost compared to on-premises warehouse Period of free to use before charging Google products integrations for Storage … for newbies Access management confusing and tight with IAM roles Can be expensive for different workloads types 9
storage of you have large data sets since they are charging very minimal charge for storage but they will charge for every single query that you run on Google … by Google BigQuery since Google BigQuery has minimal charges for storage and mainly it will charge for running the query inside the Google BigQuery so it &hell…
Querying expenses are not always straightforward. Very reasonable price for storage. Native integrations are very helpful.
on a huge dataset. Huge means data in TB's. This also reduces the company cost to build that kind of infrastructure to store data. … on a huge dataset. Huge means data in TB's. This also reduces the company cost to build that kind of infrastructure to store data. Not specific to Google … Generating remarketin…
Being able to pay for the time and space that is utilized offers significant cost savings, especially for smaller (and mid-size) businesses and those that … Streaming data can be expensive Does not support ad…
in tech performance and speed by 20% due to correct data logging Reduced cost of managing data across multiple databases
need a basic data warehouse with some common integrations that are not expensive, Google BigQuery is a good option. If you're a more advanced user looking … Low cost for warehousing and running queries. Simple and reliable place to store data
It would have a positive ROI, the price is reasonable and machine learning always benefits your organization Machine
Cost per consumption Serverless Simple and intuitive UX … Development of dashboards and reports at a very low cost Execution of automatic
Transparency in terms of cost Utilisation of the data warehouse and suggestion on the sizes Easy to use … Reduced time to integrate from one components to another Reduced the cost for cloud warehousing Ease of use so reduced time to get to use on a dai…
is an excellent choice. The price is also very reliable given the amount of data we store. … Extremely reliable Reasonable cost
Google BigQuery charge according to the quality of the code. So if it is long and lengthy and not
platform which is a minus point if you want a local setup. Can be a little expensive to manage. A little difficult to manage someone with less technical expertise
data store is probably all you need, which can likely be used at a lower cost. … infrastructure. Instead of spending our time on our analytics and bringing that value to our customers. … within that eco-system. Of course, we made sure it met our needs and was cost…
Query pricing is still higher if we don't take flat pricing which is high. Storage pricing is also counted. It do not handle … also used for aggregation by running scheduled queries on it. With flat pricing, we are able to optimally use it for a…
same SQL query on RDBMS, assuming your data is mostly structured. It is expensive if you have a lot of data that needs to be queried each time the query … less suited if you have to analyze the data on a regular basis since the cost of accessing compute and storage adds up…
