AI TOOL PROFILE
Aerospike: Real-Time NoSQL Database
- Data and Analytics
- Database
- Mid-market companies
- Enterprise companies
- Data engineering teams
- AI application developers
Pricing
Aerospike uses a usage-based pricing model. Examples include a small resilient cache at $3/hour, medium line-of-business apps at $34/hour, and enterprise systems-of-record at $125/hour. A free trial is available.
At a glance
- Best for
- Mid-market companies, Enterprise companies, Data engineering teams, AI application developers
- Key use cases
- Real-Time Personalization, Fraud Prevention, AI Application Infrastructure, AdTech Operations, Session Management
- Integrations
- Apache Spark, Kafka
- Official website
- Visit aerospike official website
How AI is used
Aerospike is a real-time NoSQL database built for environments requiring high throughput and predictable sub-millisecond response times. It uses a hybrid memory architecture that combines the speed of memory with the durability of SSDs, which may help reduce the infrastructure needed for large datasets.
The tool is designed for organizations in sectors such as AdTech, E-commerce, Finance, and Telecom. It supports multiple data models, including key-value, document, and graph, allowing developers to choose the structure that fits their application requirements.
Aerospike includes features for AI workloads, such as vector similarity detection for Generative and Agentic AI. Deployment options include a fully managed cloud service, managed services via SREs, or self-managed installations on Kubernetes, VMs, or bare metal.
Buyers should confirm if the usage-based pricing model aligns with their projected data growth.
Key Features
Hybrid Memory Architecture
Combines memory-like latency with SSD durability to help manage large volumes of data.
Multi-Model Support
Supports key-value, document, and graph data structures within a single core database engine.
Distributed ACID Transactions
Provides strong consistency and strict serializability guarantees for high-throughput transactions.
Vector Similarity Detection
Includes capabilities designed to support Predictive, Generative, and Agentic AI workloads.
Cross-Datacenter Replication (XDR)
Supports asynchronous active-active replication between clusters to enable global data hubs.
Self-Healing Replication
Uses auto-sharding and fast failover to help maintain high uptime.
Use Cases
Real-Time Personalization
Supporting Customer 360 initiatives to deliver tailored user experiences and recommendations.
Fraud Prevention
Processing large datasets with low latency to help detect and prevent fraudulent transactions in real time.
AI Application Infrastructure
Storing intermediate results for agentic AI workflows and providing vector support for similarity searches.
AdTech Operations
Managing user profile stores and supporting real-time bidding and ad-serving processes.
Session Management
Handling high-frequency session data for gaming platforms or e-commerce sites to maintain state and integrity.
Integrations
- Apache Spark
- Kafka
FAQ
What is Aerospike's hybrid memory architecture?
- It is a design that allows the database to provide memory-like latency while using SSDs for durability and lower cost.
Who is Aerospike designed for?
- It is primarily designed for mid-market and enterprise companies, particularly those in AdTech, E-commerce, Finance, and Telecom.
How much does Aerospike cost?
- Pricing is usage-based; examples provided range from $3/hour for small cache clusters to $125/hour for large enterprise systems-of-record.
Does Aerospike support AI workloads?
- Yes, it is designed for Predictive, Generative, and Agentic AI, utilizing vector capabilities for similarity detection.
Source category: Data & Analytics
Source subcategory: Database
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