Google has introduced Google Cloud Bigtable, a service for storing large amounts of data online, enabling organizations to execute big data analysis as a cloud service.

The offering offers you a fully managed, scalable NoSQL database service designed for web, mobile, and Internet of Things applications requiring terabytes to petabytes of data. Unlike other market offerings, Google says the Cloud Bigtable doesn't require you to sacrifice speed, scale, or cost efficiency when your applications grow. Cloud Bigtable has been tested at Google for more than 10 years—it's the database driving major applications such as Google Analytics and Gmail.

Google's engineers work around the clock to keep your Cloud Bigtable servers up and running. Because Cloud Bigtable is accessed through the HBase API, it is natively integrated with the existing big data and Hadoop ecosystems.

Gogole says that the Cloud Bigtable scales to hundreds of petabytes and millions of reads and writes per second while maintaining single-digit millisecond latencies.

Cloud Bigtable is offered through the standard Apache HBase open source API. You can transition to Cloud Bigtable from privately managed Apache HBase instances, and it's easy to export Cloud Bigtable data to standard formats.

All data is encrypted both in-flight and at rest.

Pricing for Google Cloud Bigtable will be based on a number of factors, including network usage, number of nodes deployed, and amount of storage used.