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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.
Bigtable is an excellent option for any Apache Spark or Hadoop
uses that require Apache HBase.
Bigtable supports the Apache HBase
1.0+ and 2.0+ APIs, and offers a Bigtable HBase client in
Maven to use Bigtable with
Dataproc.
Use the Bigtable Spark connector
The Bigtable Spark connector lets you read and write data from
and to Bigtable. You can read data from within your Spark
application using Spark SQL and DataFrames. For read-only jobs, you can use
Data Boost serverless compute,
Data Boost is designed for the performance requirements of high-throughput jobs
and queries, and it lets you avoid impacting your application-serving cluster
traffic when those jobs and queries are run.
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