
<p>Both are from Google. The names are so close and quite confusing, but they are totally different products.</p>
<p>(Note that Bigtable is NOT styled as BigTable, though the <code>Q</code> in BigQuery is in uppercase.)</p>
<h2>Different use cases</h2>
<ul>
  <li>BigQuery is a <strong>data warehouse</strong>. SQL. Primarily used for <strong>offline analytics</strong>. Optimized for large-scale, ad-hoc SQL-based analysis and reporting.</li>
  <li>Bigtable is a <strong>wide-column database</strong>. NoSQL. Primarily used for online serving. Optimized for low latency, high throughput.</li>
</ul>
<h2>Both offered on Google Cloud Platform</h2>
<ul>
  <li><strong>BigQuery</strong> is a service on GCP. It was developed from a Google internal query system called <strong>Dremel</strong>.</li>
  <li><strong>Bigtable</strong> is the name of the database, GCP offers a version of it called <strong>Cloud Bigtable</strong>.</li>
</ul>
<h2>Competitors</h2>
<ul>
  <li>BigQuery: AWS Redshift, Snowflake, and other data warehouses.</li>
  <li>Bigtable: HBase, Cassandra (actually these open-source projects are based on the published Bigtable design).</li>
</ul>
<h2>Popularity</h2>
<p>BigQuery is probably the most popular GCP product.</p>
<p>On DB-Engine ranking (<a href="https://db-engines.com/en/ranking">https://db-engines.com/en/ranking</a>):</p>
<ul>
  <li>BigQuery is ranked 20+ and trending upwards;</li>
  <li>Bigtable is ranked 80+; do not expect it to rise up though, it is being replaced by Spanner.</li>
</ul>


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