Aerospike Pricing

Metadata was using a traditional NOSQL database based on open-source technology, but we experienced challenges with scale and speed as our database grew.

We selected Aerospike to replace MongoDB due to its the ease of use, simple configuration and high velocity reading and writing.

Along with the easy client development and support for async requests, we managed to boost our profiling algorithms and run twice as fast, enabling us to serve more customers in a shorter amount of time with even leaner hardware resources.

Switching to Aerospike broadened our capabilities and has helped support our company growth. We recommend Aerospike to any software company looking for a solid key/value database that is scalable, super fast and commercially ready. Review collected by and hosted on G2.com.

We had no problems / issues installing or integrating Aerospike into our solution and architecture. Their documentation made it easy and we're experiencing no issues scaling it. Review collected by and hosted on G2.com.

I've tested Aerospike [1] and other nosql databases when we were looking for a viable alternative to what we had as we were reaching its limit. What I liked in Aerospike is that you can easily confirm the exactitude of the performance claims, which is not the case for most commercial products. Also, in contrast to usual databases, there is no need to define sharding (i.e. how data will be fragmented on the different nodes of the database) or replication parameter (i.e. the number of node on which your data will be replicated so that you don't loose anything in case of node failure). These parameters are essential but as a developer you don't have to care much about them as Aerospike will do.

Also, Aerospike gives you the choice between in-memory storage (e.g. to cache user session data) or SSD disk storage (for durability) without any compromise in performance.

It has a powerful query language, and enable users to define custom aggregation functions based on the Lua programming language [2] which is very flexible especially when it comes to define business related aggregation algorithms.

Above all that, it is an Open Source solution.

[1] https://github.com/dzlab/analytics-examples/blob/master/nosql-batch-examples/src/main/scala/aerospike/java_sdk.scala

[2] https://github.com/dzlab/analytics-examples/blob/master/nosql-batch-examples/src/main/resources/udf/aggregations.lua Review collected by and hosted on G2.com.

We really liked Aerospike, but as our use case was about Aanalytics that needs running heavy read-only analysis workload on the database. In addition, our use case required one big write workload directly from Apache Spark RDDs (Resilient Distributed Dataset) that may consists of billions of rows and hundreds of properties. These use cases were sadly not the appropriate cases where Aerospike can be used as it's a key-value database and not columnar oriented. Review collected by and hosted on G2.com.