BigQuery is a fully-managed, serverless data warehouse that enables scalable analysis over petabytes of data. It is a serverless Software as a Service (SaaS) that supports querying using ANSI SQL. In simple words, we can define the BigQuery as Google’s serverless cloud storage platform designed for large data sets.
Since storing and querying massive datasets can be time-consuming and expensive without the right hardware and infrastructure, Google provides an enterprise data warehouse that solves this problem by enabling super-fast SQL queries using the processing power of its infrastructure called
1. Real-time analytics
It’s possible to run ad hoc queries on petabytes data sets in seconds
Eliminates the time-consuming work of provisioning resources and reduces your downtime with a serverless infrastructure that handles all ongoing maintenance
2. Seamless Scalability
BigQuery separates storage and computes to enable elastic scaling that streamlines capacity planning for a data warehouse.
3. Cost Optimization
BigQuery’s serverless architecture helps to only pay for the storage and compute resources you use.
BigQuery’s separation of storage and computing makes it easy to scale independently and endlessly on demand, leading to affordable, economical storage.
4. Federated query and logical data warehousing.
BigQuery’s powerful federated query can process external data sources in object storage (Cloud Storage), transactional-databases (Cloud Bigtable), or spreadsheets in Drive — all without duplicating data.
5. Security and privacy for business data and investments.
Google’s cloud-wide identity and access management provides protection and control access to encrypted projects and datasets.
BigQuery makes it easy to maintain a strong security and governance foundation.