Help Center/ Distributed Cache Service/ Service Overview/ Comparing DCS and Open-Source Cache Services
Updated on 2025-11-03 GMT+08:00
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Comparing DCS and Open-Source Cache Services

DCS supports single-node, master/standby, and cluster instances, ensuring high read/write performance and fast data access. It also supports various instance management operations to facilitate your O&M. With DCS, you only need to focus on the service logic, without concerning about the deployment, monitoring, scaling, security, and fault recovery issues.

DCS is compatible with open-source Redis, and can be customized based on your requirements. This renders DCS unique features in addition to the advantages of open-source cache databases.

DCS for Redis vs. Open-Source Redis

Table 1 Differences between DCS for Redis and open-source Redis

Feature

Open-Source Redis

DCS for Redis

Service deployment

Requires 0.5 to 2 days to prepare servers.
  • V6.0 enterprise edition: 5 to 15 minutes.
  • V4.0 and later basic edition: 15 to 60 seconds.

Version

-

Deeply engaged in the open-source community and supports the latest Redis version. Currently, Redis 4.0, 5.0, 6.0, and 7.0 are supported.

Security

Network and server safety is the user's responsibility.
  • Network security is ensured using Huawei Cloud VPCs and security groups.
  • Data reliability is ensured by data replication and scheduled backup.

Performance

-

x86-based: 100,000 QPS per shard.

QPS per shard for a Redis 6.0 enterprise (performance) instance node: 400,000/s; QPS per shard for an enterprise (storage) instance node: 70,000/s.

Monitoring

Provides only basic statistics.

Provides more than 30 monitoring metrics and customizable alarm threshold and policies.

  • Various metrics
    • External metrics include the number of commands, concurrent operations, connections, clients, and denied connections.
    • Resource usage metrics include CPU usage, physical memory usage, network input throughput, and network output throughput.
    • Internal metrics include instance capacity usage, as well as the number of keys, expired keys, PubSub channels, PubSub patterns, keyspace hits, and keyspace misses.
  • Custom alarm thresholds and policies for different metrics to help identify service faults.

Backup and restoration

Supported
  • Supports scheduled and manual backup. Backup files can be downloaded.
  • Backup data can be restored on the console.

Parameter management

No visualized parameter management
  • Visualized parameter management is supported on the console.
  • Configuration parameters can be modified online.
  • Data can be accessed and modified on the console.

Scale-up

Interrupts services and involves a complex procedure, from modifying the server RAM to modifying Redis memory and restarting the OS and services.
  • Supports online scale-up and scale-down without interrupting services.
  • Specifications can be scaled up or down within the available range based on service requirements.

O&M

Manual O&M

24/7 end-to-end O&M services