Dragonfly vs Redis Cloud Enterprise Caching

Dragonfly vs Redis Cloud Enterprise Specs
  • Free Tier Allowance
  • Rate Limit Cap
  • Session Lifetime
  • Overage Fee per 1k MAU
Comparison chart between Dragonfly and Redis Cloud Enterprise raw data
MetricDragonflyRedis Cloud Enterprise
Free Tier AllowanceOpen Source30 MB
Rate Limit CapMemory Bound1,000 Commands/sec
Session Lifetime24 Hours24 Hours
Overage Fee per 1k MAU$01 USD/GB
Deploy Dragonfly Core
👉 Open Source Core • 25x Redis Memory Performance
Deploy Redis Enterprise
👉 Permanent 30MB Free Tier • Active-Active Geo Ready
Dragonfly
Free Tier Allowance:
Open Source
Rate Limit Cap:
Memory Bound
MFA Support:
Enforced via Dragonfly Cloud console two-factor authentication
Enterprise SSO SAML:
Available on Enterprise plans with SAML and organization RBAC
Custom Domain Support:
Dedicated instances and private networking on Enterprise tiers
Supported SDKs:
Redis protocol, Node.js ioredis, Python redis-py, Java Jedis, Go redigo
Social Providers:
GitHub OAuth for Dragonfly Cloud account login
Compliance Standards:
SOC 2 Type II, GDPR on Enterprise agreements
Webhook Fallback Policy:
Snapshot exports and replication streams with configurable failover policies
Redis Cloud Enterprise
MFA Support:
Enforced via Redis Cloud console MFA and SAML-enforced organization login
Enterprise SSO SAML:
Supported on Enterprise plans with SAML, OIDC, and RBAC
Custom Domain Support:
VPC peering and private service connect on Enterprise deployments
Supported SDKs:
Redis protocol, Node.js ioredis, Python redis-py, Java Jedis, Go redigo
Social Providers:
Google and corporate SSO for Redis Cloud account management
Compliance Standards:
SOC 2 Type II, ISO 27001, HIPAA, PCI-DSS, GDPR on Enterprise tiers
Webhook Fallback Policy:
Redis Streams consumer groups with pending-entry replay and dead-letter patterns
Dragonfly
Benchmark Dragonfly against your existing Redis workload before migrating; multi-threading benefits vary by key access patterns.
Redis Cloud Enterprise
Enable Redis Stack modules on dedicated databases when you need full-text search alongside cache keys in one cluster.