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DuckDB vs TimescaleDB

DuckDB logo

DuckDB

Software

Fast in-process analytical database

From
Free
Rated
-
Full reviewWebsite
TimescaleDB logo

TimescaleDB

Software

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

From
Free
Rated
-
Full reviewWebsite

The short version

  • Each has a real cost: DuckDB client-server setup remains in beta and not recommended for production distributed scenarios; TimescaleDB inherits PostgreSQL write path limitations, creating a ceiling on ingestion throughput
  • They diverge on capability: DuckDB covers In-process Execution, TimescaleDB covers Time-series Optimization.

Where they differ

Only the attributes on which DuckDB and TimescaleDB actually diverge.

Attributes where DuckDB and TimescaleDB differ
AttributeDuckDBTimescaleDB
Pricing modelopen-sourceUnknown
PlatformsLinux, macOS, Windows, WebAssemblyLinux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure)
Founded20192012

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 DuckDB

  • In-process Execution
  • Columnar Storage
  • Vectorized Execution
  • Rich SQL Support
  • Parquet Support
  • CSV/JSON Import
  • Zero Dependencies
  • Python

Only in TimescaleDB

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

Both cover

  • Linux support
  • Windows support
  • Mac support

What people use each for

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

DuckDB

  • Analytics and data warehousingnot TimescaleDB
  • OLAP queries and data explorationnot TimescaleDB
  • Data science and machine learning workflowsnot TimescaleDB
  • Multi-format data ingestion and processingnot TimescaleDB

TimescaleDB

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

Where each one falls short

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

DuckDB

  • Client-server setup remains in beta and not recommended for production distributed scenarios

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

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

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

Which should you pick?

Choose DuckDB if

  • You need in-process execution.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, WebAssembly.
  • You also want columnar storage.
DuckDB review

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.
TimescaleDB review

Questions people ask

Is DuckDB or TimescaleDB better?
Neither clearly leads. DuckDB starts at Free and TimescaleDB at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or TimescaleDB?
DuckDB starts at Free and TimescaleDB at Free.
Does DuckDB or TimescaleDB run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. TimescaleDB runs on Linux, macOS, Windows, Docker, Kubernetes, Cloud (AWS, GCP, Azure).
Can I use DuckDB for free?
Both have a free tier, so you can try either at no cost before committing.
What is DuckDB best used for?
DuckDB is most often used for analytics and data warehousing, olap queries and data exploration, data science and machine learning workflows, multi-format data ingestion and processing. Of those, analytics and data warehousing and olap queries and data exploration are not what TimescaleDB is typically brought in for.
What can DuckDB do that TimescaleDB cannot?
DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. TimescaleDB covers Time-series Optimization, PostgreSQL Extension, Automatic Partitioning, Continuous Aggregates. Both handle 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
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