Google Cloud Launches BigQuery Reservations
Nov. 19, 2019 — Google Cloud officials announced BigQuery Reservations, which allows customers to choose between flat-based pricing, on-demand pricing, or choose between the two models. According to Tino Tereshko, Product Manager at Google BigQuery, BigQuery Reservations will be available for users in the beta version soon. Tereshko also details the main features of BigQuery Reservations that enable the end-user to control and predict the company’s monthly BigQuery bill in a blog posted below.
For many companies, data analytics has evolved from an occasional task to something that’s mission-critical to their business. When you’re doing data analytics at scale, predictable spending is key—something we often hear from our enterprise customers, like HSBC and Sky.To that end, we launched BigQuery’s flat-rate pricing a few years ago, a fixed-rate pricing model that makes it easy for you to predict and control your monthly BigQuery bill.
We’re happy to announce BigQuery Reservations, an easy and flexible self-service way to take advantage of BigQuery flat-rate pricing, available in beta in coming days. Reservations makes it even simpler to plan your spending and add flexibility and visibility to your data analytics use cases. You’ll see this feature in cloud console in the next two weeks.
BigQuery Reservations lets you:
- Control your transparent, predictable BigQuery analysis spending.
- Purchase BigQuery slots in BigQuery’s web UI in seconds.
- Seamlessly manage your enterprise workloads in BigQuery.
Avoid compute silos by easily sharing idle capacity across your entire organization.
BigQuery Reservations solves enterprise customers’ largest problems
“BigQuery Reservations will bring a new kind of flexibility and predictability to enterprises doing large-scale data analytics. For a serverless, cloud-native data warehouse like BigQuery, the ability to predict costs for customers is huge. And with our research showing that 42% of organizations plan to use or are exploring serverless analytics over the next 12 months, pricing and consumption flexibility will serve as a key differentiator for GCP,” says Mike Leone, Senior Analyst at Enterprise Strategy Group. “This announcement opens up more possibilities for workload management, and adds higher levels of efficiency with idle slot capacity being available for reuse.”
We’ve heard that you need more power and flexibility with your resources, and the ability to buy and manage BigQuery slots on your own.
“Reservations were instrumental in helping us incrementally ramp up slot capacity as we migrated over from another data warehouse, greatly increasing our cost performance,” says Jingsong Wang, engineering manager, Discord. “The ability to share idle slot capacity across projects, workloads and users helps ensure our business-critical workstreams stay online, while giving users the flexibility to run more complex workloads.”
You can get a full demo here on how BigQuery Reservations work:
Cost predictability and conformism to budgets. While cloud-native services offer unparalleled scalability and efficiency, it’s often at the expense of cost predictability, resulting in budget overruns. Pay-per-use pricing models are especially hard to manage. BigQuery Reservations offers a predictable flat-rate pricing model—no surprises on your monthly bill.
To read the full blog, visit: https://cloud.google.com/blog/products/data-analytics/new-workload-management-in-bigquery
Source: Tino Tereshko, Product Manager, Google BigQuery