Feed Hungry ML Systems More Data, Faster & Efficiently

The Aerospike real-time data platform feeds both online and offline machine learning systems more data, faster, from both streaming sources and existing Systems of Record, without having to move data. This improves ML model accuracy and shortens the time between model iterations, improving accuracy even more so. On top of all of this, Aerospike seamlessly scales from terabytes to petabytes of data with linear performance, while reducing server counts by up to 80 percent.


Create low latency inference and training pipelines online

Connect the Aerospike real-time data platform with pre-built integrations for Spark, Kafka and Presto.

Conduct in-place data exploration

Eliminate compliance headaches by removing the need to copy data into multiple systems.

Execute Spark jobs faster with massive parallelism

Decrease training time, increase frequency of retraining, and reduce server footprint up to 80 percent to maximize ROI.

Read the full solution brief