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Aerospike Database vs GridGain

GridGain

6.5#9 in in-memory databasesFrom $0.11 a month
APILinuxmacOSSelf-hosted
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What both publish

FactAerospike DatabaseGridGain
IntegrationsAerospike Connect includes connectors for Elasticsearch, Spark, Kafka, JMS, Pulsar, Trino, and Event Stream Processing, with additional licensing noted for these connectors.The official extensions page lists a certified Kafka connector, Oracle Golden Gate, and Data Lake Accelerator; it also names Spring, Spark, Hibernate L2 Cache, MyBatis L2 Cache, and Cassandra integrations.
Intended usersAerospike describes Enterprise Edition as suited to mission-critical workloads and data pipelines, including machine learning and generative and agentic AI workloads.The company describes GridGain as serving use cases that need speed and scalability across financial services, fintech, software, eCommerce, retail, telecommunications, online services, and healthcare.
SecurityEnterprise Edition lists TLS transport encryption, access control lists, Vault integration, and FIPS 140-2 compliance; some security features require additional licensing.GridGain 9 supports SSL/TLS for cluster and client connections, and Enterprise and Ultimate editions include role-based authorization.

Aerospike Database plans

  • Community EditionFree
  • Enterprise EditionPriced on request

GridGain plans

  • Attached Nebula cluster — Apache Ignite$0.11 a month
  • Attached Nebula cluster — Community Edition$0.20 a month
  • Attached Nebula cluster — Enterprise Edition$0.30 a month
  • Attached Nebula cluster — Ultimate Edition$0.53 a month
  • Managed Nebula cluster S$1.98 a month
  • Managed Nebula cluster M$3.96 a month

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 GridGain if…

GridGain may suit teams handling transactional, streaming, or analytical workloads that need scalable clusters. The company lists use cases across financial services, fintech, software, eCommerce, retail, telecommunications, online services, and healthcare.

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