Does Google still use BigTable?

On May 6, 2015, a public version of Bigtable was made available as a service. Bigtable also underlies Google Cloud Datastore, which is available as a part of the Google Cloud Platform….Bigtable.

What is Cloud BigTable good for?

Bigtable is ideal for storing very large amounts of data in a key-value store and supports high read and write throughput at low latency for fast access to large amounts of data. Bigtable is built with proven infrastructure that powers Google products used by billions such as Search and Maps.

Is Cloud BigTable expensive?

Cloud Bigtable has long been Google Cloud’s fully managed NoSQL database for massive, petabyte-sized analytical and operational workloads. At $0.65 per hour and node, it was never a cheap service to run, especially because Google Cloud enforced a minimum of three nodes per cluster for production workloads.

Is bigtable good for analytics?

Characteristics of Cloud Bigtable You can use Bigtable as the storage engine for large-scale, low-latency applications as well as throughput-intensive data processing and analytics. It can scale to billions of rows and thousands of columns, enabling you to store terabytes or even petabytes of data.

Is bigtable relational?

Bigtable is not a relational database. It does not support SQL queries, joins, or multi-row transactions.

What is the minimum amount of data to store in bigtable?

In the Bigtable whitepaper it says “Each table consists of a set of tablets, and each tablet contains all data associated with a row range. Initially, each table consists of just one tablet. As a table grows, it is automatically split into multiple tablets, each approximately 100-200 MB in size by default.”