Redis + MongoDB vs. Couchbase: Performance Benchmark Comparison

Superior performance and manageability, discover the advantages.

도전

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.

챌린지 #1

건축

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

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챌린지 #2

비용

MongoDB’s inability to scale increases operational costs.

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도전 #3

복제 및 장애 조치(Failover)

MongoDB is highly susceptible to data loss and inconsistency.

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챌린지 #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

모바일

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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기능

Key features of Couchbase vs. Redis + MongoDB

무엇이 포함되어 있나요?

코우치베이스

Redis + MongoDB

Built-in cache

JSON flexibility

Automatic mobile sync and peer-to-peer sync

Masterless architecture

Full SQL querying

Multi-master geographic replication

분석

Automatic sharding/partitioning

데이터베이스 논리

Built-in full-text search

Data structures (queue, set, etc.)

다차원 스케일링

코드 스니펫

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

고객

Success stories: Couchbase over MongoDB and Redis

“With less than half the servers, we can increase performance and gain a much better scalable architecture.”
아미르 이쉬 샬롬, Sr. Director of Operations, Viber

15

billion call and message events/day

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"Couchbase는 확장성이 뛰어난 분산형 데이터 저장소로 LinkedIn의 캐싱 시스템에서 중요한 역할을 담당합니다."
마이클 케호, 선임 직원 사이트 안정성 엔지니어, LinkedIn

10M+

초당 쿼리 수

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“None of the other solutions came even close to Couchbase’s broad enterprise capabilities.”
아비람 아그몬, CTO, 마카비 헬스케어

2.3

million customers on a single app

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