Google Unveils New BigQuery Pricing Editions, Flat Rates To End

BigQuery customers will need to select from Google’s three new pricing editions, as flat rates for monthly and annual BigQuery commitments will end in July.

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Google Cloud has unveiled three new pricing editions for BigQuery along with new capabilities for the popular big data platform. However, starting in July, BigQuery customers will no longer be able to purchase a flat-rate monthly or annual commitment.

The $22 billion Mountain View Calif.-based cloud computing company unveiled three BigQuery pricing editions: Standard, Enterprise and Enterprise Plus, with the ability to mix and match for the right price-performance based on a customer’s workload needs.

These new BigQuery editions come with two big innovations, said Gerrit Kazmaier, vice president and general manager of data and analytics for Google Cloud.

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“We are announcing compute capacity autoscaling that adds fine-grained compute resources in real-time to match the needs of your workload demands, and ensure you only pay for the compute capacity you use,” said Kazmaier in a blog post. “Second, compressed storage pricing allows you to only pay for data storage after it’s been highly compressed. With compressed storage pricing, you can reduce your storage costs while increasing your data footprint at the same time.”

[Related: Thomas Kurian: 5 Big Remarks On Google’s Generative AI Future]

Pricing For New BigQuery Editions

The BigQuery Standard package is a low-cost option for standard SQL analysis at a cost of $0.04 per slot hour.

BigQuery Enterprise supports advanced enterprise analytics with a price tag of $0.06 per slot hour.

The top-tier Enterprise Plus edition costs $0.10 per slot hour and supports mission-critical enterprise analytics.

It is key to note that the price for BigQuery Enterprise and BigQuery Enterprise Plus editions can be lowered if a customer signs either a one-year or three-year optional commitment. For example, Enterprise Plus costs $0.06 per slot if a customer signs up for a three-year commitment—representing almost half the cost.

Customer Can No Longer Purchase A Flat Rate

Beginning July 5, 2023, BigQuery customers will no longer be able to purchase flat-rate annual, flat-rate monthly or flex slot commitments.

“Customers already leveraging existing flat-rate pricing can begin migrating their flat and flex capacity to the right edition based on their business requirements, with options to move to edition tiers as their needs change,” said Google’s Kazmaier.

Google is also increasing the price of its on-demand analysis model by 25 percent across all regions starting July 5.

The new BigQuery Standard, Enterprise and Enterprise Plus pricing editions are part of Google Cloud’s commitment to offer new pricing models for its cloud portfolio.

In February, the company unveiled its new Flex Agreements, which allow customers to migrate their workloads to the cloud with no up-front commitments. As part of the new licensing option, customers still get access to Google Cloud incentives such as monthly spending discounts and cloud credits.

“The Flex Agreement presents something different,” said Yoav Toussia-Cohen, CEO of Google global partner DoiT International. “Google is showing a very flexible way of doing business with customers. … The data platform that Google provides—it’s the best out there.”

BigQuery Innovation, Cost Savings

With BigQuery’s new granular autoscaling, customers can reduce their current committed capacity by upward of 40 percent as it can manage the compute capacity.

“You can set up maximum and optional baseline compute capacity, and let BigQuery take care of provisioning and optimizing compute capacity based on usage without any manual intervention on your part,” said Google’s Kazmaier. “This ensures you get sufficient capacity while reducing management overhead and underutilized capacity.”

In addition, Google said with BigQuery’s new compressed storage billing model, customers can manage complexity across all data types while keeping costs low.

“Irrespective of which pricing model you choose, the combination of these innovations with multiyear commitment usage discounts can help you lower your total cost of ownership,” said Kazmaier.