Why NoSQL Deployments Are Failing at Scale
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Why does technology become obsolete? There’s no one answer. Sometimes, it’s surpassed by something strictly better. Other times, the underlying need evolves. Technology that serves the needs of an emerging market might prove insufficient when the market matures.
That’s what many businesses are discovering about NoSQL. And it’s why so many NoSQL implementations are struggling today.
Not so long ago, in the early days of big data, Hadoop was the name on everyone’s lips. Traditional SQL-based data stores were thought to be passé. Every venture-funded startup seemed to have a NoSQL key-value store under the hood. They followed in the footsteps of tech giants like Google, Facebook, and Yahoo, who developed NoSQL technology to manage their rapid growth. It was only natural for startups to reach for the tools that had powered their predecessors’ global success.
Consider the trajectory of Hbase, a database distributed as part of the standard Apache Hadoop package. Modeled on Google’s famed BigTable, HBase’s popularity soared for a few years and then steadily declined.
