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      <title>Grab Redesigns Counter Service Storage for 50% Lower P99 Latency</title>
      <link>https://www.infoq.com/news/2026/10/grab-counter-aerospike-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Wide+Column+Database-news</link>
      <description>&lt;img src="https://res.infoq.com/news/2026/10/grab-counter-aerospike-migration/en/headerimage/generatedHeaderImage-1790465865171.jpg"/&gt;&lt;p&gt;Grab migrated its high-volume Counter Service from a wide column database to Aerospike using storage abstraction, shadow traffic, data parity validation, and gradual traffic migration. The redesigned data model consolidated time buckets into map-based records. Grab reports about 50% lower production p99 read latency, 1 TB versus 3 TB of disk usage, and 45% to 50% lower cost per node.&lt;/p&gt; &lt;i&gt;By Leela Kumili&lt;/i&gt;</description>
      <category>Wide Column Database</category>
      <category>Validation</category>
      <category>Cassandra</category>
      <category>Architecture</category>
      <category>NoSQL</category>
      <category>Rust</category>
      <category>Domain Modeling</category>
      <category>migration</category>
      <category>Database</category>
      <category>Columnar Databases</category>
      <category>Maps</category>
      <category>Distributed Systems</category>
      <category>Storage</category>
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      <pubDate>Wed, 07 Oct 2026 14:30:00 GMT</pubDate>
      <guid>https://www.infoq.com/news/2026/10/grab-counter-aerospike-migration/?utm_campaign=infoq_content&amp;utm_source=infoq&amp;utm_medium=feed&amp;utm_term=Wide+Column+Database-news</guid>
      <dc:creator>Leela Kumili</dc:creator>
      <dc:date>2026-10-07T14:30:00Z</dc:date>
      <dc:identifier>/news/2026/10/grab-counter-aerospike-migration/en</dc:identifier>
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