Predictable in Production.

Drop‑in Replacement for Redis Workloads.* Zero Code Changes,No Re‑architecture, Same Operations, Predictable at Scale.

* Redis supports version 7.2, Valkey supports all versions.

Founding Vision

True Drop‑in Compatibility

Works with your Redis/Valkey apps, no code changes.

Cost‑First Design

Memory‑efficient by design. Every byte counts.

Production‑Predictable Reliability

Redis/Valkey‑class latency with 10× faster failover and recovery.

Extreme Memory Efficiency

Engula leverages advanced memory mapping and proprietary storage formats to achieve significant memory reduction across diverse production workloads.

Top-tier short-video platform

≈10% of online traffic

Standard Redis 7.217.8 TB
Engula10.1 TB

43%

Memory Reduction

Large live-streaming service

Message feed cluster

Standard Redis 7.2331 GB
Engula108 GB

67%

Memory Reduction

Digital bank

Risk control workload (one shard instance)

Standard Redis 7.29.4 GB
Engula2.4 GB

74%

Memory Reduction

Instant Cold Start & Sync

With 100% Redis 7.2 compatibility, Engula's storage engine and proprietary RDB format enable 7.5x faster recovery and full sync with zero code changes.

Standard Redis / Valkey

StatusRECOVERING
Dataset Size106M Records (24GB)
0%
Elapsed Time00:00
Recovery Time (RTO)~01:31
Service AvailabilityService Unavailable

Engula

StatusRECOVERING
Dataset Size106M Records (16GB)
0%
Elapsed Time00:00
Recovery Time (RTO)~00:12
Service AvailabilityService Unavailable

Test Environment: Intel(R) Xeon(R) E-2334 CPU @3.40GHz | Samsung SSD 990 PRO 1TB | 106,188,857 records (1-256 random bytes)

End the Replication Storm

In large Redis instances, slow RDB recovery often causes replication buffer overflows, triggering infinite sync loops. Engula's extreme speed ensures completion within the sync window.

Standard Redis

1TB+ Instance

syncing
Master
Replica
RDB Loading Progress0%
Replication Buffer Usage0%

Master replication buffer (client-output-buffer-limit) overflows before RDB is fully loaded, forcing a full resync restart.

Engula

Parallel Sync Engine

Syncing
Master
Replica
Engula Sync Progress0%
Replication Buffer Usage0%

Engula's parallel recovery engine completes synchronization 10x faster, staying safely within the master's replication window.

Why Engula

Cost Savings
50% average TCO reduction vs. Redis in tests.
Better Performance
Redis‑class latency, with 40%+ higher throughput at higher core counts.
High Availability, Fast Recovery
Predictable failover and up to 10× faster full sync and snapshot restore.

Optional feature. Requires private RDB format for optimal performance; compatible mode matches Redis/Valkey speed.

Seamless Migration
No code rewrites. Protocols, clients, and tooling stay aligned with Redis.

Redis support 7.2 and all Valkey versions.

No Vendor Lock‑in
Drop‑in and drop‑out supported: same protocol. Your data, your choice.
Always‑On Support
Enterprise‑grade support, 24×7 for mission‑critical workloads.

What's in Engula

Redis/Valkey Wire Compatible Abstraction

An internal protocol-and-command abstraction that mirrors Redis/Valkey behavior, ensuring changes remain 100% behavior‑compatible (Redis up to 7.2; all Valkey versions). Existing clients, proxies, and tools work as‑is.

Coroutine‑Based Thread Runtime for Redis/Valkey

A Redis/Valkey‑style thread‑per‑coroutine runtime that prioritizes latency‑sensitive tasks and improves CPU utilization under mixed workloads.

HybridLog: In-Memory Compressed Engine

A compression‑tuned in‑memory engine with tightly packed data structures and centralized memory management, trading a bit of CPU for significant RAM savings and low fragmentation while keeping hot‑path latency tight.

Parallel Streaming Snapshot

A private snapshot format that streams block data to disk and restores in parallel, delivering up to 10× faster dumps, loads, and replica sync. An optional Redis‑compatible RDB is available for standard‑speed interoperability.

Frequently asked questions

You can find more specific information about Engula by digging into the documentation and reading our blog articles.