Data Platform

The Real-time Data Platform for unlimited scale

The Aerospike Real-time Data Platform now with Aerospike Database 6 adds full document database capabilities for gigabyte to petabyte scale unlike any other.

Delivering native support for JSON document models.

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Aerospike Real-time Data Platform diagram

The Aerospike Real-time Data Platform

The Aerospike Real-time Data Platform enables organizations to act in real time across billions of transactions using massive parallelism and a hybrid memory model to ensure the smallest possible server footprint. It ingests and acts on streaming data at the edge and can combine edge data with data from systems of record, third party sources, data warehouses, or data lakes for operational, transactional, or analytical workloads – all in real time.

Multi-model, globally distributed data operations

Data Models in Aerospike Database 6

Aerospike Database 6 is the first expansion of our flagship NoSQL database beyond its initial key-value data model to include full document database capabilities including both document storage, indexing, and query.

  • Key-Value data operations are native
  • Document database services are new in Aerospike Database 6
  • Proven graph implementations
  • Proven time series implementations

Rich real-time data services

The data services of the Aerospike Real-time Data Platform are the internal processes of Aerospike Database 6 that enable globally distributed operations, enterprise-grade high availability, and sub-millisecond performance from gigabytes to petabytes.

Real-time EngineReal-time EngineReal-time Engine
Aerospike’s Real-time engine delivers the maximum performance possible and can scale to millions of transactions per second at sub-millisecond latency. Aerospike’s real-time engine can scale out across nodes, and can scale up on one node.
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Aerospike provides dynamic data distribution via its shared-nothing cluster architecture, where all nodes are peers and there is no single point of failure. Using the Aerospike Smart Partitions™, data is auto-sharded and distributed evenly across all nodes in the cluster for maximum performance and scalability.
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Aerospike utilizes technologies such as secondary indexes, set indexes, and our own Aerospike Expressions to power sub-millisecond query performance on data at the edge, in a System of Record, and across data centers and clouds.
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Aerospike’s Change Notification feature powers our change data capture (CDC) enabling outside databases and message queues to be updated in parallel with writes from database clients. This is a key usability feature when Aerospike is used as the database of record.
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Aerospike’s dynamic cluster management handles node membership, network fault detection and ensures single consistent view of current cluster members.
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High Performance Storage Engines

High-performance Storage Engines in Aerospike Database 6

Aerospike offers storage options for optimal density with high performance, starting with our patented Hybrid Memory Architecture (HMA).  HMA stores indexes on DRAM and data on Flash.  Aerospike HMA treats SSDs like DRAM, accessing them as raw devices at DRAM speeds with great parallelism. Our storage engine approach has been extended to and optimized for All-Flash and persistent memory configurations, and we offer an in-memory option as well.  As a result, Aerospike enables enormous vertical scaleup at an 80% server or cloud instance reduction versus using pure RAM-based in-memory approaches. Learn more.

Streaming Data Connectors

PulsarPulsar

Connect for Pulsar

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.
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KafkaKafka

Connect for Kafka

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.
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JMSJMS

Connect for JMS

Aerospike Connect for JMS provides a simple and easy way to move data in and out of Aerospike to other enterprise systems via the JMS enterprise messaging system.
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Connect for Event Stream Processing (ESP)

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.
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SQL Access Connectors

Aerospike Connect products include SQL and streaming data processing via Spark and Presto-Trino frameworks.

Apache SparkApache Spark

Connect for Spark

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.
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Presto by TrinoPresto by Trino

Connect for Presto-Trino

Aerospike Connect for Presto-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.
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Additional Resources

Solution Brief
The Aerospike® Real-time Data Platform

The Aerospike® Real-time Data Platform

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Blog
Future-Proof with Aerospike Database 6

Future-Proof with Aerospike Database 6

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White Paper
Introducing Aerospike’s Architecture

Introducing Aerospike's Architecture

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Solution Brief

The Aerospike® Difference

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Solution Brief
Aerospike® Database 6 product brief

Aerospike® Database 6

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