<?xml version="1.0" encoding="utf-8" standalone="yes"?><rss version="2.0" xmlns:atom="http://www.w3.org/2005/Atom"><channel><title>Bigtable on MCP Toolbox for Databases</title><link>/integrations/bigtable/</link><description>Recent content in Bigtable on MCP Toolbox for Databases</description><generator>Hugo</generator><language>en</language><atom:link href="/integrations/bigtable/index.xml" rel="self" type="application/rss+xml"/><item><title>Bigtable Source</title><link>/integrations/bigtable/source/</link><pubDate>Mon, 01 Jan 0001 00:00:00 +0000</pubDate><guid>/integrations/bigtable/source/</guid><description>&lt;h2 id="about">About&lt;/h2>
&lt;p>&lt;a href="https://cloud.google.com/bigtable/docs">Bigtable&lt;/a> is a low-latency NoSQL database service for machine
learning, operational analytics, and user-facing operations. It&amp;rsquo;s a wide-column,
key-value store that can scale to billions of rows and thousands of columns.
With Bigtable, you can replicate your data to regions across the world for high
availability and data resiliency.&lt;/p>
&lt;p>If you are new to Bigtable, you can try to &lt;a href="https://cloud.google.com/bigtable/docs/create-instance-write-data-cbt-cli">create an instance and write data
with the cbt CLI&lt;/a>.&lt;/p>
&lt;p>You can use &lt;a href="https://cloud.google.com/bigtable/docs/googlesql-overview">GoogleSQL statements&lt;/a> to query your Bigtable
data. GoogleSQL is an ANSI-compliant structured query language (SQL) that is
also implemented for other Google Cloud services. SQL queries are handled by
cluster nodes in the same way as NoSQL data requests. Therefore, the same best
practices apply when creating SQL queries to run against your Bigtable data,
such as avoiding full table scans or complex filters.&lt;/p></description></item></channel></rss>