Cloud Bigtable is Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.
Bigtable is designed to handle massive workloads at consistent low latency and high throughput, so it's a great choice for both operational and analytical applications, including IoT, user analytics, and financial data analysis.
Cloud Bigtable can be used to store and query all of the following types of data:
- Marketing data such as purchase histories and customer preferences.
- mFinancial data such as transaction histories, stock prices, and currency exchange rates.
- Internet of Things data such as usage reports from energy meters and home appliances.
- Time-series data such as CPU and memory usage over time for multiple servers.
Features
Cloud Bigtable is a fast, fully managed, massively scalable NoSQL database service.
High Performance
Cloud Bigtable has a higher performance under high load than alternative products. What this means is that large applications and workflows are faster, more reliable, and more efficient running on Bigtable.
Security & Permissions
All data is encrypted both in-flight and at rest. You have full control over who has access to the data stored in Cloud Bigtable.
Low Latency Storage
Cloud Bigtable utilizes a low-latency storage stack, enabling single-digit millisecond latency at the 99th percentile, compared to more than 50x that latency with alternative products.
Global Availability
Cloud Bigtable is available in regions around the world, allowing you to place your service and data exactly where you want it.
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.
Redundant Autoscaling Storage
Cloud Bigtable is built with a redundant internal storage strategy for high durability. You don’t need to configure separate storage or disks, and you only pay for the amount of storage you are using.
Scaling
During operation without the need for a restart, allowing efficient use of resources and helping your applications and workflows stay up and running.
HBase Compatible
In addition to its native RPC-based API, Cloud Bigtable provides an HBase-compatible interface. This enables portability of applications between HBase and Bigtable.
Seamless Cluster Resizing:
Cloud Bigtable cluster nodes can be dynamically added and removed
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