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Help Center/ Distributed Cache Service/ User Guide (Paris Region) / Service Overview/ Comparing DCS and Open-Source Cache Services

Comparing DCS and Open-Source Cache Services

Updated on 2022-02-21 GMT+08:00

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 Memcached, 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.

  • Creates a Redis 3.0 instance in 5 to 15 minutes.
  • Creates a containerized Redis 4.0 or 5.0 instance within 8 seconds.

Version

-

Closely follows open-source trends and supports the latest Redis version. Currently, Redis 3.0, 4.0, and 5.0 are supported.

Security

Network and server safety is the user's responsibility.

  • Network security is ensured using VPCs and security groups.
  • Data reliability is ensured by data replication and scheduled backup.

Performance

-

100,000 QPS per node

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.

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.

DCS for Memcached vs. Open-Source Memcached

Table 2 Differences between DCS for Memcached and open-source Memcached

Feature

Open-Source Memcached

DCS for Memcached

Service deployment

Requires 0.5 to 2 days to prepare servers.

Creates an instance in 5 to 15 minutes.

Security

Network and server safety is the user's responsibility.

  • Network security is ensured using VPCs and security groups.
  • Data reliability is ensured by data replication and scheduled backup.

Performance

-

100,000 QPS per node

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

Not supported

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

Visualized maintenance

No visualized parameter management

  • Visualized parameter management is supported on the console.
  • Configuration parameters can be modified online.

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 without interrupting services.
  • Specifications can be scaled up or down within the available range based on service requirements.

Data persistence

Not supported

Supported for master/standby instances

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