Couchbase vs. MongoDB™: Performance, AI, and Mobile Compared
Why businesses are switching from MongoDB to Couchbase – discover the advantages.
CHALLENGES
MongoDB vs. Couchbase: performance, scalability & deployment challenges
Teams moving from MongoDB to Couchbase often cite slowdowns at scale, a separate cache to manage, and the end of MongoDB Device Sync in 2025. Benchmarks show where the gap is widest.
CHALLENGE #1
AI-powered applications
MongoDB’s agent platform is still in preview. Couchbase gives agents a full AI Data Plane today.
CHALLENGE #2
Performance at scale
In benchANT’s independent tests on identical clusters, Couchbase had 3.9x MongoDB’s throughput.
CHALLENGE #3
Multi-region deployments
MongoDB writes each shard through one primary. Couchbase XDCR lets every region take writes.
CHALLENGE #4
Query in the language your team knows
Skip the learning curve. Couchbase SQL++ lets your team query JSON with the SQL they already know.
CHALLENGE #5
Mobile and edge computing
MongoDB retired Device Sync in 2025 and points users to partners. Couchbase Mobile syncs natively.
CHALLENGE #6
Limited analytics offering
MongoDB runs analytics on copies of operational data. Couchbase adds a dedicated columnar engine.
COMPARE
Key features of Couchbase vs. MongoDB
Code Snippet
Comparison of equivalent queries in Couchbase SQL++ and MongoDB’s MQL
/* 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 }}]})CUSTOMERS
What customers are saying
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“Couchbase stores all the real-time communications data and supports query acquisition under high concurrency.”
Andy Qiu, CEO, Jinmu70
million documents
8K
operations per second
-
“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
24×365
application uptime
Diverse business colleagues discussing about new projects and working together during office meeting in modern workspace. -
“With less than half the servers, we can increase performance and gain a much better scalable architecture.”
Amir Ish-Shalom, Sr. Director of Operations, Viber15
billion call and message events/day
60%
reduction in total servers
FAQ
Couchbase vs. MongoDB FAQ
Quick answers about how Couchbase and MongoDB compare on throughput, vector search, SQL, mobile sync, and total cost of ownership.
Couchbase outperforms MongoDB on throughput and latency, in independent YCSB benchmarks by benchANT, due to its memory-first architecture and built-in caching layer.
Couchbase Hyperscale Vector Index achieves 700+ QPS at billion-vector scale. MongoDB Atlas returned 2 QPS with 40-second P95 latency in the same Couchbase-run VectorDBBench tests.
Yes. SQL++ extends SQL to JSON with JOINs, aggregations, and complex queries. MongoDB uses its own query language, with joins through $lookup and read-only SQL for reporting.
Couchbase typically delivers lower TCO than MongoDB through built-in caching, fewer required add-ons, and more efficient cluster sizing, reducing infrastructure and licensing costs.
Yes. Couchbase Lite and Capella App Services power always-on mobile and edge apps. MongoDB retired Atlas Device Sync on September 30, 2025, and now refers mobile users to third-party partners.
Keep exploring
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WHITEPAPER
Couchbase Capella vs. MongoDB Atlas – Altoros benchmark study
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BLOG
Couchbase delivers 350x MongoDB’s vector search throughput at 1B scale
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VIDEO
Migrating from MongoDB Atlas Device Sync to Couchbase Mobile