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Aerospike Developer Blog

Curated articles about application development and operations using Aerospike

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· 13 min read
Neel Phadnis

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

Introduction

Data Modeling is the exercise of mapping application objects onto the model and mechanisms provided by the database for persistence, performance, consistency, and ease of access.

Aerospike Database is purpose built for applications that require predictable sub-millisecond access to billions and trillions of objects and need to store many terabytes and petabytes of data, while keeping the cluster size - and therefore the operational costs - small. The goals of large data size and small cluster size mean the capacity of high-speed data storage on each node must be high.

· 2 min read

Welcome to the Aerospike Standup, a newsletter written by developers for developers, that brings together blog posts, questions from the community, documentation, releases and events, written by the Aerospike team.

· 15 min read
Ken Tune

Introduction

Aerospike is a high performance distributed database, particularly well suited for real time transactional processing. It is aimed at institutions and use-cases that need high throughput ( 100k tps+), with low latency (95% completion in <1ms), while managing large amounts of data (Tb+) with 100% uptime, scalability and low cost.

· 8 min read
Kiran Matty

When used with the Spark, Aerospike offers massively parallel storage to enable you to build high throughput and low latency ETL pipelines. Aerospike is a highly scalable NoSQL database and its hybrid memory architecture makes it an ideal database for Spark applications. It is typically deployed into real-time environments managing terabyte to petabyte data volumes and supports millisecond read and write latencies. It leverages bleeding-edge storage innovations such as PMem or persistent memory from best of breed hardware companies such as HPE and Intel. By storing indexes in DRAM, and data on persistent storage (SSD) and read directly from SSD, Aerospike provides unparalleled speed and cost-efficiency.

· 5 min read
Kiran Matty

source: Markus Spiske on unsplash.com

Aerospike database along with the Aerospike Connect family of connectors enable you to build low latency and high throughput streaming pipelines. Last year, we had released the Message Transformer for Kafka and Pulsar inbound connectors, which allows you an easy way to develop custom code for event processing prior to writing them to Aerospike.

· 2 min read

Welcome to the Aerospike Standup, a newsletter written by developers for developers, that brings together blog posts, questions from the community, documentation, releases and events, written by the Aerospike team.

We are moving to a monthly cadence for Standup starting this year. We think it strikes a better balance between frequency and granularity of updates. We look for your feedback and will be open to adjusting the frequency in the future as appropriate.