Low latency, massively scalable NoSQL
Ideal for ad tech, fintech, and IoT, Cloud Bigtable offers consistent sub-10ms latency. Replication provides higher availability, higher durability, and resilience in the face of zonal failures. Cloud Bigtable is designed with a storage engine for machine learning applications and provides easy integration with open source big data tools.
Google named a Leader in the Gartner Operational Database Management Systems Magic Quadrant 2019.
Moving from Cassandra to auto-scaling Bigtable at Spotify
Driving a real-time personalization engine with Cloud Bigtable
Building a global data presence with Cloud Bigtable
Fast and performant
Use Cloud Bigtable as the storage engine for large-scale, low-latency applications as well as throughput-intensive data processing and analytics.
Seamless scaling and replication
Provision and scale to hundreds of petabytes and smoothly handle millions of operations per second. Changes to the deployment configuration are immediate, so there’s no downtime during reconfiguration. Replication adds high availability for live serving apps, and workload isolation for serving vs. analytics.
Because we manage the database and handle the configuring and tuning, you can focus on developing applications.
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.
Ingest and analyze large volumes of time series data from sensors in real time, matching the high speeds of IoT data to track normal and abnormal behavior. Enable customers to build dashboards and drive analytics on their data in real time.
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.
Cloud Bigtable is built to integrate with the Apache® ecosystem and other Google Cloud products. Within the GCP ecosystem, BigQuery can query data stored in a Cloud Bigtable database, and you can use Cloud Dataflow to process data that is stored in Cloud Bigtable or to store the output of your Cloud Dataflow pipeline. Cloud Bigtable support for the HBase API enables an interface with a range of capabilities such as Apache Beam® for data processing, JanusGraph® for graph-based analysis, and OpenTSDBTM for time-series analysis.
For more details on the range of Cloud Bigtable integrations, please refer to the Integrations with Cloud Bigtable section of the Cloud Bigtable documentation.
Cloud Bigtable is a fast, fully managed, massively scalable NoSQL database service.
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