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Aerospike is the real-time database for AI, trusted in the world
Start here for the decision-making essentials: what Aerospike does, who it is for, how it is accessed, and the first-party sources behind this profile.
See official pricing
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Short answers to the questions buyers and builders commonly ask about Aerospike. Each answer cites the shared ledger below, where every source is listed once.
Real-time database for AI with memory-like latency, durability, and SSD cost efficiency · Distributed ACID transactions · Cross-Datacenter Replication (XDR) · Sub-millisecond latency up to petabyte scale, handling millions of ad requests per second
Aerospike's patented Hybrid Memory Architecture delivers memory-like latency, with the durability and low cost of SSDs.
Developers building applications on Aerospike via client libraries · Operators deploying and managing Aerospike Database clusters in production · Architects designing large-scale distributed NoSQL systems · Leading enterprises worldwide deploying mission-critical operational applications
For developers Aerospike client libraries offer a fast and reliable interface to power your workloads.
Real-time applications requiring low latency and high availability · AdTech (identity graphs, commerce media/product recommendations, fraud detection/attributi · Real-time fraud detection using an Agentic AI Stack · AI/ML, big data analytics, ETL, fraud detection via Spark Structured Streaming, and on-dem
the distributed NoSQL database for real-time applications that need low latency and high availability.
Official client libraries available for Java, Python, Go, C#, Node.js, and Rust · Client libraries for Java, C, C#, Python, Go, and Node.js
Deploy Aerospike with Docker and learn basic read/write operations across Java, Python, Go, C#, Node.js, and Rust.
Built-in observability via Prometheus and Grafana; AI stack integration with Google Gemini · Connectors for Apache Kafka, Apache Pulsar, Java Message Service (IBM MQ, Solace, ActiveMQ · Aerospike's Cross Datacenter Replication and Change Notification connect data to Elasticse · Aerospike Connect for Trino runs ANSI SQL queries on Aerospike data for on-demand analytic
Aerospike Debuts Agentic AI Stack with Google Gemini and AMD EPYC Processors
Active-active clusters across regions, clouds, or hybrid environments with 99.99% uptime · Spark connector can be deployed as a JAR in a Kubernetes or non-Kubernetes environment, ei · Operates both at the edge and alongside existing systems of record.
Run active-active clusters across regions, clouds, or hybrid environments with zero-latency handoffs — and 99.99% uptime.
This profile connects the jobs Aerospike is described as handling with its delivery model, access options and the subjects used to match it to related products in this directory.
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Aerospike | Aerospike
Real-time database for AI with memory-like latency, durability, and SSD cost efficiency · Distributed NoSQL database for real-time applications · Hybrid Memory Architecture (HMA) leveraging memory and disk
Real-time database for AI with memory-like latency, durability, and SSD cost efficiency
Distributed NoSQL database for real-time applications
Hybrid Memory Architecture (HMA)
Distributed ACID transactions
Cross-Datacenter Replication (XDR)
Real-time applications requiring low latency and high availability
Developers building applications on Aerospike via client libraries
Operators deploying and managing Aerospike Database clusters in production
Architects designing large-scale distributed NoSQL systems
A concise view of the jobs, capabilities and integrations described in the recorded product sources.
Documented product formats, platforms and official distribution destinations. Availability can vary by region and plan.
A concise history of software releases and material product changes. Events appear only when a dated source supports what changed.
Showing the newest updates and meaningful milestones. Open an entry for its summary and source.
Aerospike Database 7 was showcased at AWS re:Invent, delivering over 25M TPS at under 1ms on Graviton3 with a 1.6x price-performance improvement and introducing a unified storage format spanning in-memory, hybrid memory, and all-flash engines.
View source [16]Aerospike showcased Database 7 benchmarks on Graviton3 delivering more than 25M TPS at under 1ms with a 1.6x price-performance improvement and a new unified storage format.
View source [16]Aerospike demonstrated Database 7 benchmarks on AWS Graviton3 at re:Invent 2023, reporting 25M+ TPS under 1ms with a 1.6x price-performance gain over Graviton2 and a new unified storage format.
View source [16]Facts, answers, structured details, milestones and primary resource links cite this shared ledger. Each external page appears once; release tags from the same GitHub project are grouped under one release history.
These tools share a workflow, capability or audience with Aerospike. They may complement it rather than replace it, and are not presented as integrations or endorsements.
Silver, Gold, and Platinum support plans with direct engineer access
English-language support only
Aerospike, Inc.
High performance enterprise grade NoSQL database with strong consistency
Sub-millisecond latency up to petabyte scale, handling millions of ad requests per second
Hybrid memory architecture leveraging both memory and disk for consistent performance
AdTech (identity graphs, commerce media/product recommendations, fraud detection/attribution, mobile/CTV/streaming, retail media)
Real-time fraud detection using an Agentic AI Stack
Active-active clusters across regions, clouds, or hybrid environments with 99.99% uptime
Native connectors and SDKs for Python, Java, and Go
Built-in observability via Prometheus and Grafana; AI stack integration with Google Gemini and AMD EPYC processors
Leading enterprises worldwide deploying mission-critical operational applications
To unleash the power of the world's real-time data
Aerospike, Inc., headquartered at 2440 W. El Camino Real, Suite 700, Mountain View, CA 94040
Documentation, Support portal, Community forum, Technical Support services, and Aerospike Academy (open to all developers)
Mountain View/Silicon Valley, CA with global offices in London, Tel Aviv, Bangalore, and Singapore
Aerospike — described as a high performance enterprise grade NoSQL database with strong consistency
NoSQL database
Connectors for Apache Kafka, Apache Pulsar, Java Message Service (IBM MQ, Solace, ActiveMQ Artemis, RabbitMQ), HTTP-based Event Stream Processing, Elasticsearch, Apache Spark, and Trino
Aerospike's Cross Datacenter Replication and Change Notification connect data to Elasticsearch
Aerospike Connect for Trino runs ANSI SQL queries on Aerospike data for on-demand analytics
Aerospike Connect for Spark loads data into Spark DataFrames, supporting Java, Scala, and Python with PySpark, Pandas, NumPy, Scikit-learn, PyTorch, TensorFlow, SparkML, and Matplotlib
AI/ML, big data analytics, ETL, fraud detection via Spark Structured Streaming, and on-demand analytics via Trino
Supports secure connections between Aerospike and Spark clusters with TLS and LDAP
Spark connector can be deployed as a JAR in a Kubernetes or non-Kubernetes environment, either in the cloud or on bare-metal
Official client libraries available for Java, Python, Go, C#, Node.js, and Rust
High performance enterprise grade NoSQL database with strong consistency
Real-time database (NoSQL data platform)
