Redis + MongoDB vs. Couchbase: Performance Benchmark Comparison

Superior performance and manageability, discover the advantages.

CHALLENGES

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.

チャレンジ#1

Architecture

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

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チャレンジ #2

コスト

MongoDB’s inability to scale increases operational costs.

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チャレンジ #3

Replication and failover

MongoDB is highly susceptible to data loss and inconsistency.

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CHALLENGE #4

Operational overhead

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

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CHALLENGE #5

Multi-data center deployment

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

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CHALLENGE #6

モバイル

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

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CHALLENGE #7

Time

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

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FEATURES

Key features of Couchbase vs. Redis + MongoDB

What’s included

Couchbase

Redis + MongoDB

Built-in cache

JSON flexibility

Automatic mobile sync and peer-to-peer sync

Masterless architecture

Full SQL querying

Multi-master geographic replication

アナリティクス

Automatic sharding/partitioning

Database logic

Built-in full-text search

Data structures (queue, set, etc.)

多次元スケーリング

Code Snippet

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

// 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');


// Redis lacks scope and collection capability
const redisClient = redis.createClient({ ... });
redisClient.connect();
const value = await redisClient.get('key');

/* equivalent to the Mongo example */
SELECT SUM(value * volume) AS val, symbol
FROM   db.stocks
WHERE  symbol IN ( "AAPL", "GOOG" ) AND value > 0
GROUP  BY symbol
ORDER  BY val DESC, symbol ASC

// equivalent to the SQL++ example
db.stocks.aggregate([
	 { "$match": {
	 	 "$and": [
	 	 	 {"symbol": {
	 	 	 	 "$in": [
	 	 	 	 "AAPL",
	 	 	 	 "GOOG"]}},
	 	 	 { "value": {
	 	 	 "$gt": 0 }}]}},
	 { "$group": {
	 	 "_id": {
	 	 	 "symbol": "$symbol" },
	 	 "sum(value * volume)": {
	 	 	 "$sum": {
	 	 	 	 "$multiply": [
	 	 	 	 	 "$value",
	 	 	 	 	 "$volume"]}}}},
	 { "$project": {
	 	 "_id": 0,
	 	 "sum(value * volume)": "$sum(value * volume)",
	 	 "symbol": "$_id.symbol"}}
	 { "$sort": {
	 	 "sum(value * volume)": -1,
	 	 "symbol": 1 }}]})


// Redis lacks a complex query language like SQL

お客様

Success stories: Couchbase over MongoDB and Redis

“With less than half the servers, we can increase performance and gain a much better scalable architecture.”
アミール・イシュ・シャローム, Sr. Director of Operations, Viber

15

billion call and message events/day

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"Couchbaseは、LinkedInのキャッシュシステムにおいて重要な役割を果たす、拡張性の高い分散データストアです。"
マイケル・ケーホー, シニアスタッフサイト信頼性エンジニア、LinkedIn

10M+

クエリー/秒

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“None of the other solutions came even close to Couchbase’s broad enterprise capabilities.”
Aviram Agmon, CTO, Maccabi Health Care

2.3

million customers on a single app

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