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5 posts tagged with "document"

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· 12 min read
Art Anderson

This is the first in a series of blog posts intended to help folks who may be struggling with deployment of an Aerospike database. I'm part of the Aerospike Developer Relations team, but I spend most of my days playing around with websites or writing code samples, and not deploying databases in real-world contexts. I hope that you can follow along with me as I fumble my way through a production build and create a tool that will not only help me with my job, but also help me learn a whole lot more about Aerospike.

Let me make the mistakes so you don't have to! Or do make them, that's cool too.

· 9 min read
Neel Phadnis

(Source: Photo by Wilhelm Gunkel on [Unsplash](https://unsplash.com/) ) Source: Photo by Wilhelm Gunkel on Unsplash

“Real-time describes various operations or processes that respond to inputs reliably within a specified time interval (Wikipedia).”

Real-time data must be processed soon after it is generated otherwise its value is diminished, and real-time applications must respond within a tight timeframe otherwise the user experience and business results are impaired. It is critical for real-time applications to have reliably fast access to all data, real-time or otherwise.

· 11 min read
Neel Phadnis

(Source: Photo by Cameron Ballard on [Unsplash](https://unsplash.com/) ) Source: Photo by Cameron Ballard on Unsplash

The Collection Data Types (CDTs) in Aerospike are List and Map. They offer powerful capabilities to model and access your data for speed-at-scale. A major use of the CDTs is to store and process JSON documents efficiently. In the recent Aerospike Database 6.1 release, secondary index capabilities over the CDTs have been enhanced to make the CDTs even more useful and powerful for JSON documents in addition to other uses.

· 4 min read
Ken Tune

Aerospike is a high performance, distributed, scalable, key value database. Aerospike leverages SSD technology to achieve levels of throughput and low latency exceeding even those obtained with in memory products. This allows hardware costs to be reduced 10x or more and data density to be increased 10x or more versus any other high performance solution.