Redis Software

In-Memory Databases, Key-Value Databases
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contact★★★★★★★★★☆9.1

TL;DR

Redis Software is the self-managed, enterprise-grade edition of the Redis in-memory database — adding linear scalability, active-active geo-replication, 99.999% availability, and 24/7 support on top of the open-source core.

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Key Facts

VendorRedis
Best fit
Mid-MarketEnterprise

Free version: The open-source Redis server remains free under a triple license (RSALv2/SSPLv1/AGPLv3), and Redis Software offers a free 30-day trial download for evaluation.

Pricing

Starting at Custom quote (per-node subscription)

Free TierFree TrialSaaSSelf-Hosted
Most Popular

Redis Open Source / Community

$0 (RSALv2/SSPLv1/AGPLv3 tri-license)
Free
Self-hosted
  • Full core data structures and APIs
  • Community support only
  • Manual clustering and persistence setup
  • No enterprise SLAs
Most Popular

Redis Software (self-managed)

Custom quote per node
Annual subscription
On-premise, Kubernetes, or cloud VMs
  • Linear scalability with active-active geo-distribution
  • 99.999% availability and instant failover
  • 24/7 enterprise support with SLAs
  • Rack-aware clustering, encryption, RBAC

Redis Cloud (fully managed)

Usage-based (from ~$5/month)
Monthly consumption
Cloud (AWS, GCP, Azure)
  • Managed equivalent of Redis Software
  • Automatic tiering to RAM + SSD
  • Pay-for-what-you-use scaling
  • Same enterprise capabilities without ops burden

Additional Pricing Information

Redis Software is quoted per node on annual subscriptions — expect five figures annually once you run production clusters with support. The real cost driver is RAM: everything lives in memory, so dataset growth translates directly into hardware and license spend. Teams routinely start with open-source Redis and only pay when they need the HA, geo-distribution, and SLA guarantees.

Details

What is Redis Software?

Redis Software earns a 9.1 out of 10 from roughly 231 TrustRadius ratings — among the strongest scores of any database on the platform — reflecting its role as default infrastructure at companies where response time is revenue. It wraps the beloved open-source Redis engine in an enterprise package: linear scalability, active-active geo-distribution, instant failover, encryption, RBAC, and round-the-clock SLA-backed support. Reviewers consistently describe sub-millisecond latencies powering caching layers, session stores, rate limiters, leaderboards, and message streams, with several noting multi-cluster deployments that scale through seasonal spikes untouched. The recurring caveats are structural rather than quality complaints: everything lives in RAM so costs climb with data volume, it's unsuitable as a durable primary store, and clustering demands real operational skill. The 2024 licensing shift and the resulting Valkey fork have added a strategic dimension to choosing it — but for enterprises wanting supported, battle-tested in-memory infrastructure, it remains the benchmark.

Key Features

  • In-memory data store — sub-millisecond reads/writes across strings, hashes, sets, sorted sets, streams, JSON, and more
  • Active-active geo-distribution — CRDT-based writes to multiple regions with conflict resolution built in
  • High availability — automatic failover, replica promotion, and backups targeting 99.999% uptime
  • Linear scaling — proxy-based clustering that shards transparently across nodes without application changes
  • Persistence options — AOF/RDB snapshots plus flash-memory tiering to stretch datasets beyond RAM
  • Security — TLS encryption in transit/at rest, role-based access control, LDAP integration, audit logging
  • Query and search — Redis Query Engine supporting vector similarity search for AI/RAG workloads
  • 24/7 enterprise support — SLAs, upgrade tooling, and certified deployment guides for Kubernetes and VMs

Who is it for?

  • Engineering teams needing sub-millisecond caching for high-traffic applications and APIs
  • Enterprises running mission-critical Redis who want failover, geo-replication, and vendor SLAs
  • Gaming, fintech, ad-tech, and retail platforms absorbing volatile traffic spikes in real time
  • Organizations standardizing on Redis for sessions, rate limiting, queues, and pub/sub in microservices
  • AI teams using vector search and semantic caching inside their existing Redis estate

Who is it NOT for?

  • Workloads needing durable primary storage — pair Redis with PostgreSQL/MongoDB rather than replacing them
  • Small projects without HA requirements; free open-source Redis or Valkey covers basic caching
  • Budget-constrained teams with fast-growing datasets — RAM pricing compounds quickly
  • Shops wanting zero license ambiguity; the multi-license history and Valkey fork complicate procurement

The Bottom Line

Redis Software is what you buy when open-source Redis has become too important to run unsupported — the enterprise layer genuinely delivers on availability, scale-out, and support. Performance is never the question; the questions are RAM cost at your data volume and whether post-license-change politics bother your legal team. If caching latency is a revenue problem in your business, this is the benchmark everyone else is measured against.

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