Databases · head to head
ClickHouse vs Memcached

ClickHouse
Databases
Fast open-source column-oriented database for real-time analytics
- From
- Free
- Rated
- -
The short version
- Each has a real cost: ClickHouse limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems; Memcached no persistence at all: restart a node and its cache is gone, which every design must assume
- They diverge on capability: ClickHouse covers Column-oriented Storage, Memcached covers In-memory key-value cache.
Where they differ
Only the attributes on which ClickHouse and Memcached actually diverge.
| Attribute | ClickHouse | Memcached |
|---|---|---|
| Pricing model | Unknown | Open source, no licence fee; managed cloud billed separately |
| Platforms | Linux, macOS, Windows (via Docker) | Linux, macOS, Windows, Docker, Self-hosted |
| Founded | 2021 | Unknown |
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 ClickHouse
- Column-oriented Storage
- Real-time Analytics
- SQL Support
- Linear Scalability
- Data Compression
- Vectorized Query Execution
- Approximate Calculations
- Kafka
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.
ClickHouse
- Business intelligencenot Memcached
- Data warehousingnot Memcached
- Real-time analyticsnot Memcached
- Reportingnot Memcached
- Machine learningnot Memcached
Memcached
- Caching expensive database query results to cut loadnot ClickHouse
- Session storage where losing sessions on restart is acceptablenot ClickHouse
- Fronting an API whose responses are costly and change slowlynot ClickHouse
Where each one falls short
Documented limitations, not opinions. Every one is a constraint you would hit in normal use.
ClickHouse
- Limited multi-row atomic transactions and expensive UPDATE/DELETE operations unsuitable for transactional systems
- Requires upfront schema design discipline with MergeTree engine choices and sort/partition keys
- Experimental vector search support, not production-ready for vector operations
- Different query syntax from standard SQL requiring migration planning
- Limited JOIN capabilities compared to traditional relational databases
- Migration complexity with 2-4 weeks estimated for data type mapping and query translation
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
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Memcached
Free- MemcachedFree
- Full functionality
- Self-hosted
- No usage limits
Which should you pick?
Choose ClickHouse if
- You need column-oriented storage.
- You want to start without paying.
- You work on Linux, macOS, Windows (via Docker).
- You also want real-time analytics.
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.
Questions people ask
- Is ClickHouse or Memcached better?
- Neither clearly leads. ClickHouse 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, ClickHouse or Memcached?
- ClickHouse starts at Free and Memcached at Free.
- Does ClickHouse or Memcached run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). Memcached runs on Linux, macOS, Windows, Docker, Self-hosted.
- Can I use ClickHouse for free?
- Both have a free tier, so you can try either at no cost before committing.
- What is ClickHouse best used for?
- ClickHouse is most often used for business intelligence, data warehousing, real-time analytics, reporting. Of those, business intelligence and data warehousing are not what Memcached is typically brought in for.
- What can ClickHouse do that Memcached cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Memcached covers In-memory key-value cache, Multithreaded, Client-side sharding, Predictable memory use.
Answered from the vendors’ own pages
ClickHouse: What is ClickHouse best used for?
ClickHouse is optimized for analytical workloads on large datasets. It excels at fast aggregations and queries, being 10-100x faster than PostgreSQL on large aggregations.
SourceMemcached: Is Memcached free?
Yes, open source with no licence fee.
ClickHouse: Does ClickHouse support transactions?
ClickHouse has limited transaction support and expensive UPDATE/DELETE operations. It is not suitable for transactional workloads requiring strict ACID guarantees.
SourceMemcached: 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.
ClickHouse: How does ClickHouse compare to PostgreSQL?
ClickHouse is 10-100x faster for analytics but PostgreSQL is better for transactional workloads. Many teams use both: PostgreSQL for writes via MaterializedPostgreSQL replication to ClickHouse for analytics.
SourceMemcached: Does Memcached persist data?
No. Everything is in memory and lost on restart, by design.
Related pages
Other head to heads
- ClickHouse vs Cockroach Labs
- ClickHouse vs PostgreSQL
- ClickHouse vs Airtable
- ClickHouse vs Amazon Aurora
- ClickHouse vs Elasticsearch
- ClickHouse vs Apache Kafka
- ClickHouse vs PlanetScale
- ClickHouse vs Meilisearch
- ClickHouse vs Turso
- ClickHouse vs Azure SQL
- ClickHouse vs Couchbase
- ClickHouse vs DuckDB
- ClickHouse vs MariaDB
- ClickHouse vs Oracle Database
- ClickHouse vs DataGrip
- ClickHouse vs Firebolt
- ClickHouse vs Google Cloud SQL
- ClickHouse vs MotherDuck
- Memcached vs Cockroach Labs
- Memcached vs PostgreSQL
- Memcached vs Airtable
- Memcached vs Amazon Aurora
- Memcached vs Elasticsearch
- Memcached vs Apache Kafka
- Memcached vs PlanetScale
- Memcached vs Meilisearch
- Memcached vs Turso
- Memcached vs Azure SQL
- Memcached vs Couchbase
- Memcached vs DuckDB
- Memcached vs MariaDB
- Memcached vs Oracle Database
- Memcached vs DataGrip
- Memcached vs Firebolt
- Memcached vs Google Cloud SQL
- Memcached vs MotherDuck

