Google BigQuery Pricing

“If possible, simplify the pricing model and provide clearer cost breakdowns to help users understand and plan for expenses when using Google BigQuery. … In some places, Google BigQuery has helped us save some money by avoiding the need for expensive infrastructure and reducing some of the operational costs.”

“pay-as-you-go pricing model ensures cost-effectiveness can process high volume of data which saves time and money availability is very good, which impact the business. … The pay-as-you-go pricing model ensures cost-effectivenes.”

“Cheap storage + pay-per-query model makes archiving and analysis cost-efficient.”

“We calculate ROI base on the data here We need to decrease the data we store to do cost saving We rely on the explore data functionality to do analysis.”

“Cost Effective as its pricing model allows businesses to pay only for the data they process. … User-friendly cost estimation tools, along with improved budget alerting features, could help users better manage and predict expenses.”

“Google BigQuery is less expensive to run and offers free storage of up to the first 10 GB of data. … 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 do not possess adequate resources for...”

“Even though the cost is pay-per-use, it's still expensive. … Ideally the cost would be lower for certain usage ranges but for now, it's difficult for a small company to justify the cost even with such large scale data.”

“First and foremost, Google BigQuery's pricing structure, based on data processing and storage, is more cost-effective for our needs. … We only pay for the resources we use, unlike traditional data warehouses with fixed costs regardless of usage, thanks to its pay-per-use pricing model with no upfront investment and ongoing...”

“It would have a positive ROI, the price is reasonable and machine learning always benefits your organization Machine learning in general has profited the company extremely.”

“Query pricing is still higher if we don't take flat pricing which is high.”

“It is expensive if you have a lot of data that needs to be queried each time the query is run due to the license metrics used in Google BigQuery.”