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Databases · head to head

DuckDB vs Valkey

DuckDB logo

DuckDB

Databases

Fast in-process analytical database

From
Free
Rated
-
Valkey logo

Valkey

Databases

Open-source in-memory data store forked from Redis

From
Free
Rated
-

The short version

  • Each has a real cost: DuckDB client-server setup remains in beta and not recommended for production distributed scenarios; Valkey younger project, so its track record is short even though the codebase is not
  • They diverge on capability: DuckDB covers In-process Execution, Valkey covers Redis-compatible.

Where they differ

Only the attributes on which DuckDB and Valkey actually diverge.

Attributes where DuckDB and Valkey differ
AttributeDuckDBValkey
Pricing modelopen-sourceOpen source, no licence fee; managed cloud billed separately
PlatformsLinux, macOS, Windows, WebAssemblyLinux, macOS, Docker, Self-hosted
Founded2019Unknown

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

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 Valkey

  • Redis-compatible
  • BSD licensed
  • Rich data structures
  • Replication and persistence

What people use each for

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

DuckDB

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

Valkey

  • Continuing on a permissively licensed in-memory store after the Redis licence changenot DuckDB
  • Caching and session storage where a foundation-governed project is a procurement requirementnot DuckDB
  • Migrating from Redis without rewriting application codenot 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

Valkey

  • Younger project, so its track record is short even though the codebase is not
  • Divergence from Redis grows over time, so compatibility is strongest near the fork point and weakens as both evolve
  • Ecosystem tooling and documentation still frequently assume Redis, leaving translation work

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Valkey

Free
  • ValkeyFree
    • Full functionality
    • Self-hosted
    • No usage limits

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.

Choose Valkey if

  • You need redis-compatible.
  • You want to start without paying.
  • You work on Linux, macOS, Docker, Self-hosted.
  • You also want bsd licensed.

Questions people ask

Is DuckDB or Valkey better?
Neither clearly leads. DuckDB starts at Free and Valkey at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Valkey?
DuckDB starts at Free and Valkey at Free.
Does DuckDB or Valkey run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Valkey runs on Linux, macOS, Docker, Self-hosted.
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 Valkey is typically brought in for.
What can DuckDB do that Valkey cannot?
DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. Valkey covers Redis-compatible, BSD licensed, Rich data structures, Replication and persistence.

Answered from the vendors’ own pages

DuckDB: Is DuckDB free to use?

Yes, DuckDB is completely free. There are no subscription tiers, user limits, or paid plans. The software has zero licensing costs.

Source
Valkey: Is Valkey free?

Yes, BSD-licensed open source under the Linux Foundation.

DuckDB: What license is DuckDB distributed under?

DuckDB is open source under the MIT License, governed by the independent DuckDB Foundation. The MIT License permits commercial use, modification, and distribution with minimal restrictions.

Source
Valkey: Why does Valkey exist?

Redis changed its licence away from BSD in 2024. Valkey is the community fork continuing under permissive terms, backed by AWS, Google Cloud and Oracle among others.

DuckDB: Can I use DuckDB in commercial applications?

Yes, the MIT License allows commercial use without restrictions or requirements to publish proprietary code. You can deploy DuckDB anywhere from edge devices to high-core servers.

Source
Valkey: Can I switch from Redis to Valkey?

At the fork point it is drop-in compatible with existing clients and data. The further both projects move from that point, the more you should verify the specific features you use.

DuckDB: Are there any limitations on how many instances I can run?

No, there are no user limits, usage limits, or instance restrictions. You have unlimited access to all DuckDB features.

Source
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