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Databases · head to head

Memcached vs SQLite

M

Memcached

Databases

Distributed memory object caching system

From
Free
Rated
-
SQLite logo

SQLite

Databases

Small, fast, self-contained SQL database engine

From
Free
Rated
-

The short version

  • Each has a real cost: Memcached no persistence at all: restart a node and its cache is gone, which every design must assume; SQLite supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
  • They diverge on capability: Memcached covers In-memory key-value cache, SQLite covers Serverless Operation.
  • Prices and features above were last checked on 1 September 2026.

Where they differ

Only the attributes on which Memcached and SQLite actually diverge.

Attributes where Memcached and SQLite differ
AttributeMemcachedSQLite
Pricing modelOpen source, no licence fee; managed cloud billed separatelyopen-source
PlatformsLinux, macOS, Windows, Docker, Self-hostedLinux, macOS, Windows, iOS, Android
FoundedUnknown2000

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 Memcached

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

Only in SQLite

  • Serverless Operation
  • Zero Configuration
  • Single File Database
  • Cross-platform
  • Full SQL Support
  • ACID Compliance
  • Self-contained
  • Browser Storage

What people use each for

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

Memcached

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

SQLite

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

Where each one falls short

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

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

SQLite

  • Supports only serialized write operations; only one process can modify the database at any moment, limiting concurrent users
  • No multi-user support or granular access control; relies on file system permissions for security only
  • Limited ALTER TABLE functionality cannot edit or modify columns in existing tables

Pricing, plan by plan

Memcached

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

SQLite

Free
  • Public DomainFree
    • Serverless
    • Zero-configuration
    • Cross-platform

Which should you pick?

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.

Choose SQLite if

  • You need serverless operation.
  • You want to start without paying.
  • You work on Linux, macOS, Windows, iOS, Android.
  • You also want zero configuration.

Questions people ask

Is Memcached or SQLite better?
Neither clearly leads. Memcached starts at Free and SQLite at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
Which is cheaper, Memcached or SQLite?
Memcached starts at Free and SQLite at Free.
Does Memcached or SQLite run on more platforms?
Memcached runs on Linux, macOS, Windows, Docker, Self-hosted. SQLite runs on Linux, macOS, Windows, iOS, Android.
Can I use Memcached for free?
Both have a free tier, so you can try either at no cost before committing.
What is Memcached best used for?
Memcached is most often used for caching expensive database query results to cut load, session storage where losing sessions on restart is acceptable, fronting an api whose responses are costly and change slowly. Of those, caching expensive database query results to cut load and session storage where losing sessions on restart is acceptable are not what SQLite is typically brought in for.
What can Memcached do that SQLite cannot?
Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use. SQLite covers Serverless Operation, Zero Configuration, Single File Database, Cross-platform.

Answered from the vendors’ own pages

Memcached: Is Memcached free?

Yes, open source with no licence fee.

SQLite: Is SQLite free and open source?

Yes, SQLite is open source and in the public domain. The complete source code and binaries are free to download and use for any purpose without 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.

SQLite: How does SQLite work and what is its design?

SQLite is a self-contained, serverless SQL database engine that reads and writes directly to disk files. It requires no separate server process and runs within your application, making it ideal for embedded systems and local storage.

Source
Memcached: Does Memcached persist data?

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

SQLite: What are SQLite's limitations for scaling?

SQLite does not support true multi-user concurrency. Only one process can write to the database at a time, and it lacks user management and access control features. It is designed for small to medium projects, not enterprise applications with many concurrent users.

Source
SQLite: Can I use SQLite for production web applications?

SQLite can work for single-server web applications with modest concurrency needs. However, it lacks features like user management, granular security, and sophisticated query optimization needed for large-scale applications.

Source
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