Softwr

Software · head to head

TimescaleDB vs Couchbase

TimescaleDB logo

TimescaleDB

Software

Time-series database built on PostgreSQL for real-time analytics

From
Free
Rated
-
Couchbase logo

Couchbase

Software

The modern database for enterprise applications

From
Free
Rated
-

The short version

  • Each has a real cost: TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput; Couchbase the free tier is a single node with 8 GB of storage and forum support only
  • They diverge on capability: TimescaleDB covers Time-series Optimization, Couchbase covers JSON Document Model.

Where they differ

Only the attributes on which TimescaleDB and Couchbase actually diverge.

Attributes where TimescaleDB and Couchbase differ
AttributeTimescaleDBCouchbase
Pricing modelUnknownfreemium
PlatformsLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)Linux, Windows, Mac, Docker, Web
Founded20122011

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 TimescaleDB

  • Time-series Optimization
  • PostgreSQL Extension
  • Automatic Partitioning
  • Continuous Aggregates
  • Native Compression
  • Full SQL Support
  • Real-time Analytics
  • PostgreSQL

Only in Couchbase

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

Both cover

  • Kafka
  • Linux support
  • Windows support
  • Mac support
  • Docker support
  • Web support

What people use each for

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

TimescaleDB

  • Monitoringnot Couchbase
  • IoT datanot Couchbase
  • Financial datanot Couchbase
  • Log analyticsnot Couchbase
  • Observabilitynot Couchbase

Couchbase

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

Where each one falls short

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

TimescaleDB

  • Inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • Operational complexity increases significantly at scale, requiring expertise in chunk tuning and autovacuum management
  • Bloom filter indexes on compressed columns can return incorrect query results before upgrade
  • PostgreSQL 15 support ending June 2026, forcing mandatory upgrades to PostgreSQL 16 or later

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

Pricing, plan by plan

TimescaleDB

Free
  • Open SourceFree
    • Self-hosted TimescaleDB
    • MIT-licensed core
    • Full PostgreSQL compatibility
  • Scale Plan (Cloud)$36/month
    • Compute and storage charges
    • Multi-node HA
    • Unlimited VPCs

Couchbase

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

Which should you pick?

Choose TimescaleDB if

  • You need time-series optimization.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
  • You also want postgresql extension.

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.

Questions people ask

Is TimescaleDB or Couchbase better?
Neither clearly leads. TimescaleDB starts at Free and Couchbase at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, TimescaleDB or Couchbase?
TimescaleDB starts at Free and Couchbase at Free.
Does TimescaleDB or Couchbase run on more platforms?
TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure). Couchbase runs on Linux, Windows, Mac, Docker, Web.
Can I use TimescaleDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is TimescaleDB best used for?
TimescaleDB is most often used for monitoring, iot data, financial data, log analytics. Of those, monitoring and iot data are not what Couchbase is typically brought in for.
What can TimescaleDB do that Couchbase cannot?
TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Couchbase covers JSON Document Model, SQL++ Query, Full-text Search, Eventing. Both handle Kafka, Linux support, Windows support, Mac support.

Answered from the vendors’ own pages

TimescaleDB: Is TimescaleDB free?

Yes. TimescaleDB is free and open source under the Timescale License. The managed cloud service offers a free trial with $1,000 in credits expiring in 30 days.

Source
TimescaleDB: What database does TimescaleDB run on top of?

TimescaleDB is a PostgreSQL extension that runs on top of PostgreSQL. You retain full PostgreSQL compatibility including SQL queries, transactions, and ecosystem tools.

Source
TimescaleDB: How much can TimescaleDB compress data?

TimescaleDB offers transparent columnar compression that can reduce storage by up to 95%. Newer data remains in row-oriented format for fast writes, while older data is automatically compressed to the column store.

Source
TimescaleDB: Does TimescaleDB require manual partitioning?

No. TimescaleDB handles automatic time-based partitioning through hypertables. Data is automatically chunked based on time intervals, requiring no manual partition management.

Source
TimescaleDB: What PostgreSQL versions does TimescaleDB support?

As of October 2025, TimescaleDB requires PostgreSQL 16 or greater. PostgreSQL 15 support will end with the June 2026 release, after which all instances must upgrade to PostgreSQL 16.

Source

Related pages

Other head to heads