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 is an excellent option for any Apache Spark or Hadoop uses that require Apache HBase. Cloud Bigtable supports the Apache HBase 1.0+ APIs and offers a Cloud Bigtable HBase client in Maven, so it is easy to use Cloud Bigtable with Dataproc.
Using Cloud Bigtable with Dataproc
A Spark example that uses Cloud Bigtable with Dataproc
is available in the
java-docs-samples repository on
under the Cloud Bigtable directory.
To run this example, follow the directions in the Spark example.
To get started, clone the
java-docs-samples GitHub repository.
git clone https://github.com/GoogleCloudPlatform/java-docs-samples.git cd java-docs-samples/bigtable/spark
For more information
- See Cloud Bigtable