Couchbase vs. MongoDB™: Performance & Scalability Compared

Why businesses are switching from MongoDB to Couchbase – discover the advantages.

CHALLENGES

MongoDB vs. Couchbase: Performance, Scalability & Deployment Challenges

Customers migrating from MongoDB to Couchbase – whether on premises or in the cloud – frequently encounter performance bottlenecks, scaling issues, and integration challenges. Couchbase versus MongoDB benchmark comparisons reveal that MongoDB often struggles with high-performance workloads as data volume grows, requiring additional tools to achieve full functionality. Businesses also report difficulties with mobile deployments and the limitations of MongoDB’s proprietary query language, making it harder to optimize database performance efficiently.

CHALLENGE #1

AI-powered applications

MongoDB provides limited and slow vector search. Couchbase offers AI Services for GenAI at scale.

Learn about AI Services

CHALLENGE #2

Performance at scale

MongoDB’s performance degrades rapidly as the cluster size or number of users increases.

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CHALLENGE #3

Multi-region deployments

MongoDB provides limited replication compared to Couchbase’s active-active, in-memory architecture.

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CHALLENGE #4

An unfamiliar query language

MongoDB’s proprietary query language is far more complex and less well known than SQL.

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CHALLENGE #5

Mobile and edge computing

MongoDB has no solution. Couchbase Mobile is the first and leading NoSQL mobile database.

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CHALLENGE #6

Limited analytics offering

For scalable, real-time analytics, MongoDB customers need to export to another platform.

Discover analytics

What’s included
JSON flexibility
Built-in cache for millisecond responses at scale
Semantic cache for LLMs
Native vector search, cloud, and on-prem
Billion-scale vector search
AI model hosting with NVIDIA
Built-in RAG pipeline automation
Mobile, edge, and peer-to-peer sync
SQL++
Native full-text search
XDCR master-master replication
Automatic sharding
Masterless shared-nothing architecture
ACID transactions
Multi-dimensional scaling
Vector search on mobile
Real-time analytics engine
Multisource, zero-ETL ingestion
Write-back, real-time analytics to source cluster

Couchbase

MongoDB
BSON
Lucene-based and only available in Atlas

Code snippet

Comparison of equivalent queries in Couchbase SQL++ and MongoDB's MQL

SQL++ (SQL for JSON) > Query

/* 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

PL/SQL > Query

// 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 }}]})

CUSTOMERS

What customers are saying

“We see very consistent 500 microsecond response times from Couchbase even at very large scale.”

Technical Lead, Cisco

100B+ user sessions per year

500 microsecond response times

Read Customer Story See all stories

“We found that the replication technology across data centers for Couchbase was superior, especially for large workloads.”

Claus Moldt, CIO, FICO

<1 ms response times

24x365 application uptime

Read Customer Story See all stories

“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

60% reduction in total servers

Read Customer Story See all stories

Resources

Learn more about how Couchbase compares to MongoDB

WHITEPAPER

Couchbase Capella vs. MongoDB Atlas – Altoros benchmark study

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BLOG

Couchbase is 350x faster at vector search than MongoDB at 1B scale

Read the blog

VIDEO

Migrating from MongoDB Atlas Device Sync to Couchbase Mobile

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See All Resources

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Check out our developer portal to explore NoSQL, browse resources, and get started with tutorials.

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Get hands-on with Couchbase in just a few clicks. Capella DBaaS is the easiest and fastest way to get started.

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Couchbase vs. MongoDB™: Performance & Scalability Compared

See how Atlas and Capella compare in the DBaaS performance report

MongoDB vs. Couchbase: Performance, Scalability & Deployment Challenges

AI-powered applications

Performance at scale

Multi-region deployments

An unfamiliar query language

Mobile and edge computing

Limited analytics offering

Key features of Couchbase vs. MongoDB

Dispelling NoSQL misconceptions

Comparison of equivalent queries in Couchbase SQL++ and MongoDB's MQL

What customers are saying

Learn more about how Couchbase compares to MongoDB

Couchbase Capella vs. MongoDB Atlas – Altoros benchmark study

Couchbase is 350x faster at vector search than MongoDB at 1B scale

Migrating from MongoDB Atlas Device Sync to Couchbase Mobile

Start building

Use Capella free

Get in touch