“Building an application that needs low latency and high throughput?”—You need a database that can scale for a large number of reads and writes. Cloud Bigtable is designed to handle just that.

Cloud Bigtable is a fully managed wide-column NoSQL database that scales to petabyte-scale. It’s optimized for low latency, large numbers of reads and writes, and maintaining performance at scale. It offers really low latency of the order of single-digit milliseconds. It is an ideal data source for time series and MapReduce-style operations. Bigtable supports the open-source HBase API standard to easily integrate with the Apache ecosystem including HBase, Beam, Hadoop and Spark. It also integrates with Google Cloud ecosystem including Memorystore, BigQuery, Dataproc, Dataflow and more.

Some Cloud Bigtable Features

• Data is by default encrypted with Google managed encryption keys but, for specific compliance and regulatory requirements if customers need to manage their own keys, customer managed encryption keys (CMEK) are also supported.
• Bigtable backups let you save a copy of a table’s schema and data, then restore from the backup to a new table at a later time. Backups can help you recover from application-level data corruption or from operator errors such as accidentally deleting a table.

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