
Amazon ElastiCache
7.9#1 in caching softwareFrom $0.09 a monthFree planWebAPILinuxmacOS
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| Fact | Amazon ElastiCache | VoltDB |
|---|---|---|
| Deployment | Customers can run ElastiCache as a serverless cache or as a node-based cluster. | Volt supports on-premises, cloud Kubernetes or VM-based deployments, and hybrid deployments. |
| Durability | Valkey 9.0+ clusters can use a Multi-AZ transactional log with synchronous zero-data-loss writes or asynchronous microsecond-latency writes. | VoltDB Enterprise Edition provides command logging, locally replicated partitions (K-safety) and wide-area database replication for durability and high availability. |
| Founded | 2006 | 2009 |
| High availability | Serverless and Multi-AZ configurations have a 99.99% monthly uptime SLA, while single-AZ configurations have a 99.5% SLA. | Enterprise VoltDB provides K-safety, command logging and replication features for durability and availability. |
| Rating on G2 | 4.5 out of 5 from 88 reviews | 4.3 out of 5 from 6 reviews |
| Rating on Gartner Peer Insights | 4.0 out of 5 from 1 review | 4.9 out of 5 from 9 ratings |
| Rating on TrustRadius | 8.9 out of 10 from 17 reviews | 9 out of 10 from 1 review |
| Scaling | ElastiCache Serverless monitors compute, memory, and network use and scales vertically and horizontally as demand changes. | VoltDB can scale by adding nodes to a cluster, with partitioning automated from the schema. |
| Security controls | ElastiCache supports VPC network isolation, KMS customer keys, IAM authentication, Redis or Valkey AUTH tokens, and automatic certificate lifecycle management. | Authentication and authorization are enabled through configuration, with users, roles and stored-procedure permissions. |
ElastiCache may suit teams that want a managed cache for application data, sessions, leaderboards, or supported database integrations. It offers both serverless and node-based deployment options.
VoltDB is aimed at companies building or modernizing mission-critical applications, including in financial services, telecommunications, and enterprise technology. It may suit teams working with streaming data that need low-latency decisions across supported deployment types.