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Databases · head to head

DuckDB vs Memcached

DuckDB logo

DuckDB

Databases

Fast in-process analytical database

From
Free
Rated
-
Full reviewWebsite
Memcached logo

Memcached

Databases

Distributed memory object caching system

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; Memcached no persistence at all: restart a node and its cache is gone, which every design must assume
  • They diverge on capability: DuckDB covers In-process Execution, Memcached covers In-memory key-value cache.

Where they differ

Only the attributes on which DuckDB and Memcached actually diverge.

Attributes where DuckDB and Memcached differ
AttributeDuckDBMemcached
Pricing modelopen-sourceOpen source, no licence fee; managed cloud billed separately
PlatformsLinux, macOS, Windows, WebAssemblyLinux, macOS, Windows, 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 Memcached

  • In-memory key-value cache
  • Multithreaded
  • Client-side sharding
  • Predictable memory use

What people use each for

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

DuckDB

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

Memcached

  • Caching expensive database query results to cut loadnot DuckDB
  • Session storage where losing sessions on restart is acceptablenot DuckDB
  • Fronting an API whose responses are costly and change slowlynot 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

Memcached

  • No persistence at all: restart a node and its cache is gone, which every design must assume
  • No replication or failover, so losing a node loses that share of the cache
  • Only simple key-value, with none of the lists, sorted sets or streams Redis offers
  • Values are capped at 1MB by default, which surprises teams caching large documents

Pricing, plan by plan

DuckDB

Free

No published plan breakdown. See the DuckDB review.

Memcached

Free
  • MemcachedFree
    • 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.
DuckDB review

Choose Memcached if

  • You need in-memory key-value cache.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, Docker, Self-hosted.
  • You also want multithreaded.
Memcached review

Questions people ask

Is DuckDB or Memcached better?
Neither clearly leads. DuckDB starts at Free and Memcached at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, DuckDB or Memcached?
DuckDB starts at Free and Memcached at Free.
Does DuckDB or Memcached run on more platforms?
DuckDB runs on Linux, macOS, Windows, WebAssembly. Memcached runs on Linux, macOS, Windows, 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 Memcached is typically brought in for.
What can DuckDB do that Memcached cannot?
DuckDB covers In-process Execution, Columnar Storage, Vectorized Execution, Rich SQL Support. Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use.

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
Memcached: Is Memcached free?

Yes, open source with no licence fee.

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
Memcached: Memcached or Redis?

Memcached is a pure cache: simpler, multithreaded and very predictable. Redis adds persistence, replication and rich data structures, which is why it is the default choice unless you specifically want a cache and nothing more.

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
Memcached: Does Memcached persist data?

No. Everything is in memory and lost on restart, by design.

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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