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Aerospike Database vs Tarantool DB

What both publish

FactAerospike DatabaseTarantool DB
ConnectorsOfficial connectors cover Kafka, Pulsar, JMS, event-stream processing, Elasticsearch, Spark and Trino.The maker lists Java, Python, and Go APIs for business applications and documents connectors for C, Go, Java, Python, and other languages.
Data modelsThe database supports key-value, document and graph data structures through one core engine.It supports key-value, table and document schemas, with data stored in RAM and compression optimization.
IntegrationsAerospike Connect includes connectors for Elasticsearch, Spark, Kafka, JMS, Pulsar, Trino, and Event Stream Processing, with additional licensing noted for these connectors.The product page lists integration with Active Directory and LDAP, plus monitoring metric export to Prometheus or Grafana.
Intended usersAerospike describes Enterprise Edition as suited to mission-critical workloads and data pipelines, including machine learning and generative and agentic AI workloads.The maker presents Tarantool DB for business systems, including banking, retail, authentication, and other high-load real-time services.
SecurityEnterprise Edition lists TLS transport encryption, access control lists, Vault integration, and FIPS 140-2 compliance; some security features require additional licensing.Listed security capabilities include ACID support, role-based access control, an audit log, LDAP integration and TLS encryption for Redis protocol support.

Aerospike Database plans

  • Community EditionFree
  • Enterprise EditionPriced on request

Tarantool DB plans

No prices published.

Pick Aerospike Database if…

It may suit teams building large-scale transaction systems or data pipelines that need multiple data models and replication options. The Enterprise Edition is described for mission-critical workloads, including machine learning and generative and agentic AI workloads.

Pick Tarantool DB if…

It suits organizations running business systems, banking, retail, authentication, and other real-time services that can operate self-hosted infrastructure. Teams seeking Redis-compatible behavior or clustered in-memory data may consider it.

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