Google Cloud Bigtable System Properties

Cloud Bigtable is a low latency, massively scalable wide-column NoSQL database for analytical and operational workloads (for example IoT, user analytics and financial analysis). As a fully managed Google Cloud Platform (GCP) offering, it benefits from industry leading security, availability and integration with other GCP capabilities. In addition to the original Bigtable API, Cloud Bigtable is fully compatible with an existing HBase™ setup, minimizing migration effort, and easing integration with other Apache™ capabilities such as Hadoop® and Spark™.

Check out the Cloud Bigtable Quickstarts for guidance on getting up and running.

Speed
Cloud Bigtable offers low latency and high throughput at any scale or application type, and can optimize your data over time for best performance. You can use Cloud Bigtable as the storage engine for large-scale, low-latency applications as well as throughput-intensive data processing and analytics.

Scalability
Horizontally scalable with no downtime to match your data throughput needs

Fully Managed
Cloud Bigtable is offered as a fully managed service, meaning you spend your time developing valuable applications instead of configuring and tuning your database for performance and scalability. In addition, Google’s own Bigtable operations team monitors the service to ensure issues are addressed quickly.

Integration
Google Cloud Platform (GCP) integration allows easy creation of full solutions, and HBase API compatibility extends this into the open source Apache ecosystem Learn more...

Data security
Backups. Identity and access management. Learn more...

Ad Tech / User Analytics
Integrate large volumes of unrefined data from many sources, typically to drive consistent customer activity across channels. Collect and compare large volumes of behavior data across customers to find common patterns that can drive recommendations and sales. Store which pages/videos/images/songs customers listened to, engaged in, how long they stayed, what they did while on the page, where they went next, and so on.

FinTech
Build models based on historical behavior - continually update fraud patterns and compare with real-time transactions. Store and consolidate market data, trade activity, and other data, such as social and transactional data.

IoT
Ingest and analyze large volumes of time series data from sensors in real time - matching the high speeds the IoT data is generated to track normal and abnormal behavior. Enable customers to build dashboards and drive analytics on their data in real time.

eBay, Spotify, Twitter, Zulily, Moloco, Cognite, Arcules, Symphony, Pluribus Labs, Hafslund, Oden Technologies, Server Density, MainAd, 3PM Solutions, Google

When you use Cloud Bigtable, you are charged for the following:

• The type of Cloud Bigtable instance, and the total number of nodes in your instance's clusters.
• The amount of storage that your tables use.
• The amount of network bandwidth that you use.

When you enable replication by creating an instance with 2 clusters, you are charged only for the items listed above, including the complete copy of the instance's data that is stored with the second cluster. There are no additional charges for replication beyond these standard items.

Pricing guide