Redis + MongoDB vs. Couchbase: Performance Benchmark Comparison

Superior performance and manageability

HERAUSFORDERUNGEN

7 frequent challenges with Redis/MongoDB

Using MongoDB™ with Redis can enhance performance, but the combination adds significant complexity and might introduce more challenges. Because Redis lacks some features, it often needs additional modules that further complicate the setup.

  • Architecture

    Redis/MongoDB is very difficult to scale from a single replica set to a fully sharded environment.

  • Kosten

    MongoDB’s inability to scale increases operational costs.

  • Replikation und Failover

    MongoDB is highly susceptible to data loss and inconsistency.

  • Operational overhead

    Redis/MongoDB deployments require operations teams with mastery of disparate skill sets.

  • Multi-data center deployment

    When deployed in multiple geographies, MongoDB can’t perform all writes locally.

  • Mobil

    Redis lacks a mobile solution, and MongoDB’s mobile solution has significant shortcomings.

  • Time

    Redis/MongoDB is time-consuming to develop, manage, and maintain.

EIGENSCHAFTEN

Key features of Couchbase vs. Redis + MongoDB

Was ist enthalten
Built-in cache
JSON-Flexibilität
Automatic mobile sync and peer-to-peer sync
Masterless architecture
Full SQL querying
Multi-master geographic replication
Analytik
Automatic sharding/partitioning
Datenbanklogik
Built-in full-text search
Data structures (queue, set, etc.)
Mehrdimensionale Skalierung
Couchbase
Redis + MongoDB

KUNDEN

Success stories: Couchbase over MongoDB and Redis

“With less than half the servers, we can increase performance and gain a much better scalable architecture.”

Amir Ish-Shalom, Sr. Direktor für Betriebsabläufe, Viber

15

Milliarden Anruf- und Nachrichtenereignisse/Tag

60%

Reduzierung der Gesamtzahl der Server

Couchbase’s SQL++ and single API excels over Redis/MongoDB

  • Couchbase key-value
  • Redis key-value
  • Couchbase SQL++ query
  • MongoDB query language
  • Redis
// scope/collection allow for more flexible data organization
const bucket = cluster.bucket('accounts-receivable');
const scope = bucket.scope('tenant1');
const collection = scope.collection('invoices');
const result = await collection.get('key');

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