Redis + MongoDB vs. Couchbase: Performance Benchmark Comparison

Superior performance and manageability, discover the advantages.

DESAFIOS

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.

DESAFIO #1

Arquitetura

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

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DESAFIO #2

Custo

MongoDB’s inability to scale increases operational costs.

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DESAFIO #3

Replicação e failover

MongoDB is highly susceptible to data loss and inconsistency.

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DESAFIO #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

Celular

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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CARACTERÍSTICAS

Key features of Couchbase vs. Redis + MongoDB

O que está incluído

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

Análises

Automatic sharding/partitioning

Lógica de base de dados

Built-in full-text search

Data structures (queue, set, etc.)

Dimensionamento multidimensional

Snippet de código

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

CLIENTES

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. Director of Operations, Viber

15

billion call and message events/day

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"O Couchbase é um armazenamento de dados distribuído e altamente escalável que desempenha um papel fundamental nos sistemas de cache do LinkedIn."
Michael Kehoe, Engenheiro sênior de confiabilidade do site da equipe, LinkedIn

10M+

consultas por segundo

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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

Leia a história do cliente