Fully managed Redis with sub-millisecond latency, automatic failover, and multi-tier caching. Deploy in 30 seconds, scale infinitely.
Everything you need from a caching layer — automatic failover, read replicas, multi-tier caching, and real-time monitoring.
In-memory operations at 0.3ms average. Optimized kernel bypass networking and CPU-pinned threads for consistent performance.
Sentinel-based high availability with automatic failover in under 5 seconds. Zero data loss with synchronous replication.
Intelligent hot/warm/cold data tiers. Frequently accessed data stays in memory while colder data moves to disk automatically.
Scale reads with up to 15 read replicas. Distribute query load across replicas while writes go to the primary node.
TLS 1.3 encryption in transit and at rest. Fine-grained ACL controls with per-key and per-command permissions.
Comprehensive dashboards for memory usage, hit rates, latency percentiles, and key distribution. Custom alerts on any metric.
Choose between RDB snapshots, AOF append-only file, or hybrid persistence. Point-in-time recovery for full data protection.
RedisJSON, RedisSearch, RedisGraph, and RedisTimeSeries available as built-in modules. Extend Redis functionality seamlessly.
Deploy across multiple availability zones for geographic redundancy. Automatic cross-zone replication and failover.
Multi-tier caching architecture designed for maximum performance and cost efficiency.
Our caching engine automatically learns access patterns and optimizes data placement across tiers for the best performance-to-cost ratio.
Full Redis 7.2 compatibility with all built-in data types and module extensions.
Pay only for the memory you use. No minimum commitments.
Independent benchmarks showing CloudNexus Redis vs. major competitors.
| Provider | GET Latency (p99) | SET Latency (p99) | Throughput (ops/s) | Performance |
|---|---|---|---|---|
| ☁️ CloudNexus | 0.28ms | 0.31ms | 523,000 | |
| AWS ElastiCache | 0.45ms | 0.52ms | 387,000 | |
| GCP Memorystore | 0.41ms | 0.48ms | 402,000 | |
| Azure Cache | 0.49ms | 0.55ms | 365,000 | |
| Redis Enterprise | 0.35ms | 0.39ms | 478,000 |
Benchmarks conducted on 16 GB instances across 3 nodes. Results averaged over 100K operations. p99 = 99th percentile.
From session caching to real-time analytics, Redis powers the most demanding applications.
Store user sessions and shopping carts in memory for instant access. Survive traffic spikes during flash sales with auto-scaling.
Sorted sets make it trivial to build live leaderboards, rankings, and scoring systems with sub-millisecond updates.
Streams and pub/sub for real-time event processing, chat systems, and distributed task queues with guaranteed delivery.
Cache expensive API responses and database queries. Reduce origin load by 90%+ with intelligent cache key management.
RedisTimeSeries for high-frequency metrics ingestion. Track events, user behavior, and system health in real-time.
Distributed rate limiting with atomic counters. Protect APIs from abuse while maintaining consistent performance.
Native SDKs and connectors for every major language and framework.
Everything you need to know about our managed Redis service.
We currently support Redis 7.2 (latest stable), Redis 7.0, and Redis 6.2. All versions include security patches and performance optimizations. We automatically patch minor versions with zero downtime, and major version upgrades can be done on your schedule with a staging environment for testing.
Our HA clusters use Redis Sentinel to monitor the primary node. If the primary fails, Sentinel automatically promotes a replica within 5 seconds. During failover, client connections are briefly redirected to the new primary. With our smart DNS and connection pooling, most applications experience less than 100ms of interruption.
Absolutely. We provide a migration tool that can replicate data from AWS ElastiCache, Azure Cache, GCP Memorystore, or any self-hosted Redis instance with zero downtime. The tool uses Redis replication to sync data in real-time, then performs an atomic cutover. Typical migrations complete in under 30 minutes for databases up to 100GB.
Three options: RDB snapshots (periodic point-in-time backups), AOF (append-only file with fsync control), or hybrid persistence (combining both for fastest recovery). You can configure snapshot intervals, AOF rewrite thresholds, and enable point-in-time recovery for full data protection. All persistence data is encrypted at rest.
Yes! RedisJSON, RedisSearch, RedisGraph, RedisTimeSeries, and RediSearch are available as built-in modules. You can enable any combination of modules at cluster creation or add them later. Enterprise customers can also use custom compiled modules with our support team's assistance.
Production clusters support up to 256 GB memory with 15 read replicas. Enterprise clusters can scale to 2 TB with cross-region replication. For extremely large datasets, we recommend Redis Cluster mode with automatic sharding across multiple nodes, supporting petabytes of data.
Deploy a Redis instance in 30 seconds. Start with $200 in free credits — no credit card required.