The NoSQL industry was developed quickly on the promise of schema-free design, infinitely scalable clusters and breakthrough performance. But there are hidden costs, including the added complexity of an endless choice of datastores (now numbering 225), the realization that analytics without SQL is painful, high query latencies require you to pre-compute results, and the inefficient use of hardware leads to server sprawl.
All of these costs add up to a picture far less rosy than initially presented. However, the data model for NoSQL does make sense for certain workloads, across key-value and document data types. Fortunately, those are now incorporated into multi-mode and multi-model databases representing a simplified and consolidated approach to data management.
Let’s take a closer look at the impetus for the NoSQL movement and the true impact of abandoning SQL.
Dawn and decline of the NoSQL movement
The popularity of NoSQL grew from the need to scale beyond what traditional disk-based relational databases could handle, and because high performance solutions from large database companies get very expensive very quickly. Coupled with data growth, developers needed a better way for the growing use of simple data structures like users and profile information associated with mobile applications. NoSQL promised an easy path to performance.
Another explanation for NoSQL popularity comes from the perception that SQL can be hard to learn. But Michael Stahnke, director of engineering at Puppet Labs, claims that is an early, and invalid argument, noting that, “instead you must learn one query language for each tool you use.”
Read More: http://www.networkworld.com/article/3019122/tech-primers/the-hidden-costs-of-nosql.html
All of these costs add up to a picture far less rosy than initially presented. However, the data model for NoSQL does make sense for certain workloads, across key-value and document data types. Fortunately, those are now incorporated into multi-mode and multi-model databases representing a simplified and consolidated approach to data management.
Let’s take a closer look at the impetus for the NoSQL movement and the true impact of abandoning SQL.
Dawn and decline of the NoSQL movement
The popularity of NoSQL grew from the need to scale beyond what traditional disk-based relational databases could handle, and because high performance solutions from large database companies get very expensive very quickly. Coupled with data growth, developers needed a better way for the growing use of simple data structures like users and profile information associated with mobile applications. NoSQL promised an easy path to performance.
Another explanation for NoSQL popularity comes from the perception that SQL can be hard to learn. But Michael Stahnke, director of engineering at Puppet Labs, claims that is an early, and invalid argument, noting that, “instead you must learn one query language for each tool you use.”
Read More: http://www.networkworld.com/article/3019122/tech-primers/the-hidden-costs-of-nosql.html
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