Redis + MongoDB vs. Couchbase: Performance Benchmark Comparison
Superior performance and manageability, discover the advantages.
Des défis
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.
DÉFI #1
Architecture
Redis+MongoDB is very difficult to scale from a single replica set to a fully sharded environment.
DÉFI #2
Coût
MongoDB’s inability to scale increases operational costs.
DÉFI #3
Replication and failover
MongoDB is highly susceptible to data loss and inconsistency.
CHALLENGE #4
Operational overhead
Redis+MongoDB deployments require operations teams with mastery of disparate skill sets.
CHALLENGE #5
Multi-data center deployment
When deployed in multiple geographies, MongoDB can’t perform all writes locally.
CHALLENGE #6
Mobile
Redis lacks a mobile solution, and MongoDB’s mobile solution has significant shortcomings.
CHALLENGE #7
Time
Redis+MongoDB is time-consuming to develop, manage, and maintain.
Caractéristiques
Key features of Couchbase vs. Redis + MongoDB
Code Snippet
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');
// Redis lacks scope and collection capability
const redisClient = redis.createClient({ ... });
redisClient.connect();
const value = await redisClient.get('key');/* équivalent à l'exemple Mongo */ SELECT SUM(value * volume) AS val, symbole FROM db.stocks
SYMBOLE WHERE IN ( "AAPL", "GOOG") ET VALEUR > 0 GROUP BY SYMBOLE
ORDRE BY val DESC, symbole 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 SQLCLIENTS
Success stories: Couchbase over MongoDB and Redis
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“With less than half the servers, we can increase performance and gain a much better scalable architecture.”
Amir Ish-Shalom, Directeur des opérations, Viber15
1 milliard d'appels et de messages par jour
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"Couchbase est un magasin de données distribué hautement évolutif qui joue un rôle essentiel dans les systèmes de mise en cache de LinkedIn.
Michael Kehoe, Ingénieur en chef de la fiabilité des sites, LinkedIn10M+
requêtes par seconde
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“None of the other solutions came even close to Couchbase’s broad enterprise capabilities.”
Aviram Agmon, CTO, Maccabi Health Care2.3
million customers on a single app
Continuez d'explorer
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BENCHMARK
2023 NoSQL DBaaS performance
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LIVRE BLANC
Applications performantes avec mise en cache distribuée
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VIDÉO
L'échelle multidimensionnelle de Couchbase