Massively Scalable NoSQL
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.
Fast & Low latency
Bigtable offers low latency and high throughput at any scale or application type. You can use Bigtable as the storage engine for large-scale, low-latency applications as well as throughput-intensive data processing and analytics.
Bigtable provisions and scales to hundreds of petabytes automatically, and can smoothly handle millions of operations per second. Changes to the deployment configuration are immediate, so there is no downtime during reconfiguration.
Simple & Integrated
Bigtable integrates easily with popular Big Data tools like Hadoop, as well as Google Cloud Platform products like Cloud Dataflow and Dataproc. Plus, Bigtable supports the open-source, industry-standard HBase API, which makes it easy for development teams to get started.
CLOUD BIGTABLE FEATURES
Cloud Bigtable is a fast, fully managed, massively scalable NoSQL database service
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 can use project-level permissions to control who has access to 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.
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.
Seamless Cluster Resizing
You can dynamically add and remove Cloud Bigtable cluster nodes without restarting. Cloud Bigtable automatically rebalances your data, helping your applications and workflows stay up and running.
In addition to its native RPC-based API, Cloud Bigtable provides an HBase-compatible interface. This enables portability of applications between HBase and Bigtable.
Cloud Bigtable is available in regions around the world, allowing you to place your service and data exactly where you want it.