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Software · head to head

Couchbase vs YugabyteDB

Couchbase logo

Couchbase

Software

The modern database for enterprise applications

From
Free
Rated
-
YugabyteDB logo

YugabyteDB

Software

Open source distributed SQL database for cloud native apps

From
Free
Rated
-

The short version

  • Each has a real cost: Couchbase the free tier is a single node with 8 GB of storage and forum support only; YugabyteDB missing PostgreSQL functions and extensions despite claiming compatibility
  • They diverge on capability: Couchbase covers JSON Document Model, YugabyteDB covers PostgreSQL Compatible.

Where they differ

Only the attributes on which Couchbase and YugabyteDB actually diverge.

Attributes where Couchbase and YugabyteDB differ
AttributeCouchbaseYugabyteDB
Pricing modelfreemiumUnknown
PlatformsLinux, Windows, Mac, Docker, WebCloud, On-premises, Kubernetes
Founded20112016

Identical on both: starting price (Free), free tier (Yes), user rating (Not yet rated), category (Unknown).

What each one covers

Drawn from each product's published feature list. An absence here means we hold no record of it - not that the product lacks it.

Only in Couchbase

  • JSON Document Model
  • SQL++ Query
  • Full-text Search
  • Eventing
  • Analytics
  • Mobile Sync
  • Multi-dimensional Scaling
  • Kafka

Only in YugabyteDB

  • PostgreSQL Compatible
  • Distributed SQL
  • Geo-distribution
  • Linear Scalability
  • High Availability
  • ACID Transactions
  • CDC Support
  • PostgreSQL

Both cover

  • Kubernetes
  • Spring
  • Linux support
  • Mac support
  • Docker support
  • Web support

What people use each for

The jobs each tool is most often brought in to do.

Couchbase

  • Running a distributed NoSQL document database as a managed servicenot YugabyteDB
  • Mobile sync and offline first applications backed by a cloud databasenot YugabyteDB

YugabyteDB

  • Transaction processingnot Couchbase
  • Data storagenot Couchbase
  • Application backendnot Couchbase
  • Reportingnot Couchbase
  • Data analyticsnot Couchbase

Where each one falls short

Documented limitations, not opinions. Every one is a constraint you would hit in normal use.

Couchbase

  • The free tier is a single node with 8 GB of storage and forum support only
  • Node rates are hourly and quoted as starting figures, from $0.15 an hour on Basic to $0.49 on Enterprise
  • The Developer Pro and Enterprise plans require 3 nodes, so the hourly rate multiplies before any usage
  • Backup storage is billed separately at $0.07 per GB a month, and analytics backups at $0.14
  • Support response time is a plan feature, at 8 hours on Developer Pro against 30 minutes on Enterprise
  • AI and analytics run as separately priced planes at up to $0.86 an hour per node

YugabyteDB

  • Missing PostgreSQL functions and extensions despite claiming compatibility
  • Not a true PostgreSQL replacement requiring schema and query compatibility testing before migration
  • Requires careful isolation level management or risk data corruption in production
  • Lacks built-in OLAP capabilities, requiring external systems for analytics
  • Coupled compute and storage scaling reduces optimization flexibility

Pricing, plan by plan

Couchbase

Free
  • CommunityFree
    • Full features
    • Community support
    • Self-managed
  • Capella FreeFree
    • Managed service
    • Limited resources
    • Cloud hosted

YugabyteDB

Free

No published plan breakdown. See the YugabyteDB review.

Which should you pick?

Choose Couchbase if

  • You need json document model.
  • You want to start without paying.
  • You work on Linux, Windows, Mac, Docker, Web.
  • You also want sql++ query.

Choose YugabyteDB if

  • You need postgresql compatible.
  • You want to start without paying.
  • You work on Cloud, On-premises, Kubernetes.
  • You also want distributed sql.

Questions people ask

Is Couchbase or YugabyteDB better?
Neither clearly leads. Couchbase starts at Free and YugabyteDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Couchbase or YugabyteDB?
Couchbase starts at Free and YugabyteDB at Free.
Does Couchbase or YugabyteDB run on more platforms?
Couchbase runs on Linux, Windows, Mac, Docker, Web. YugabyteDB runs on Cloud, On-premises, Kubernetes.
Can I use Couchbase for free?
Both have a free tier, so you can try either at no cost before committing.
What is Couchbase best used for?
Couchbase is most often used for running a distributed nosql document database as a managed service, mobile sync and offline first applications backed by a cloud database. Of those, running a distributed nosql document database as a managed service and mobile sync and offline first applications backed by a cloud database are not what YugabyteDB is typically brought in for.
What can Couchbase do that YugabyteDB cannot?
Couchbase covers JSON Document Model, SQL++ Query, Full-text Search, Eventing. YugabyteDB covers PostgreSQL Compatible, Distributed SQL, Geo-distribution, Linear Scalability. Both handle Kubernetes, Spring, Linux support, Mac support.

Answered from the vendors’ own pages

YugabyteDB: Is YugabyteDB a true drop-in replacement for PostgreSQL?

No, YugabyteDB is PostgreSQL-compatible but not a zero-change drop-in replacement. It requires compatibility testing with queries, stored procedures, and ORM configurations before migration.

Source
YugabyteDB: What isolation levels does YugabyteDB support?

YugabyteDB allows per-query selection between serializable isolation for critical operations and read-committed for analytics. However, this flexibility requires careful management to avoid accidental data corruption.

Source
YugabyteDB: Does YugabyteDB support both SQL and NoSQL workloads?

Yes, YugabyteDB offers YSQL for PostgreSQL-compatible SQL and YCQL for Cassandra-like NoSQL workloads, using the same DocDB storage engine to support both simultaneously.

Source
YugabyteDB: Can YugabyteDB scale compute and storage independently?

No, YugabyteDB couples compute and storage scaling, unlike TiDB which separates them. This means scaling decisions are less flexible and optimization is more complex.

Source

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