Aerospike Connect for Trino enables data analysts to use ANSI SQL to query data stored in Aerospike via Trino (formerly PrestoSQL). Trino is a highly parallel and distributed SQL query engine. Further, it is multi-tenant and capable of concurrently running hundreds of memory, I/O, and CPU-intensive queries, and scaling to thousands of workers.

Aerospike Graph features a unique architecture that enables data teams to scale compute and storage independently, preventing over-provisioning and over-spending on either resource.

Aerospike Connect for Pulsar offers both an inbound connector to ingest Pulsar data into Aerospike and an outbound connector to ship change notifications from Aerospike to a Pulsar consumer for streaming data pipelines.

With ACMS, we take full responsibility for delivering and maintaining a highly resilient, low-latency, high-scale, real-time data platform on AWS and Google Cloud. Focus on driving digital value to customers while we manage your database and infrastructure.

Aerospike Cloud is a fully managed, real-time NoSQL database service built for ultra-low latency, scalability, and operational simplicity.

Connect for ESP integrates Aerospike with event stream processing (ESP) systems commonly rely on Change Data Capture (CDC) data patterns such as AWS Lambda or Google Cloud Functions to inform external systems when records are inserted, modified, or deleted in a database.

Aerospike is a real-time, multi-model NoSQL database built for ultra-low latency, infinite scalability, and high availability.

Aerospike Connect for Spark supports APIs that leverage Structured Spark Streaming and Spark SQL. This provides very low latency for both reads and writes enabling AI/ML use cases to run against data stored in Aerospike while simultaneously ingesting new data at high rates.

Aerospike Connect for Kafka provides real-time data exchange between the Aerospike database and other data pipeline components that use Kafka to transport and consume data streams.