Databases · head to head
ClickHouse vs Redis

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; Redis licensing changed from BSD to AGPL in 2025, impacting open-source usage
- They diverge on capability: ClickHouse covers Column-oriented Storage, Redis covers In-memory data store.
Where they differ
Only the attributes on which ClickHouse and Redis actually diverge.
| Attribute | ClickHouse | Redis |
|---|---|---|
| Platforms | Linux, macOS, Windows (via Docker) | Linux, macOS, Windows |
| Category | Databases | Technology |
| Founded | 2021 | 2009 |
Identical on both: starting price (Free), pricing model (Unknown), free tier (Yes), user rating (Not yet rated).
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 Redis
- In-memory data store
- Data structures
- Pub/Sub messaging
- Lua scripting
- Transactions
- Persistence options
- Replication
- Clustering
What people use each for
The jobs each tool is most often brought in to do.
ClickHouse
- Business intelligencenot Redis
- Data warehousingnot Redis
- Real-time analytics
- Reportingnot Redis
- Machine learningnot Redis
Redis
- Cachingnot ClickHouse
- Session managementnot ClickHouse
- Real-time analytics
- Message queuingnot ClickHouse
- Leaderboardsnot ClickHouse
Both are used for real-time analytics, on those jobs the choice comes down to price and fit rather than capability.
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
Redis
- Licensing changed from BSD to AGPL in 2025, impacting open-source usage
- All data must fit in memory, limiting scalability to available RAM
- No built-in support for multi-tenancy
- Limited transaction support compared to traditional databases
Pricing, plan by plan
ClickHouse
FreeNo published plan breakdown. See the ClickHouse review.
Redis
FreeNo published plan breakdown. See the Redis review.
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 Redis if
- You need in-memory data store.
- You want to start without paying.
- You work on Linux, macOS, Windows.
- You also want data structures.
Questions people ask
- Is ClickHouse or Redis better?
- Neither clearly leads. ClickHouse starts at Free and Redis at Free, and user ratings are close enough to be indistinguishable. Choose on capability and platform support.
- Which is cheaper, ClickHouse or Redis?
- ClickHouse starts at Free and Redis at Free.
- Does ClickHouse or Redis run on more platforms?
- ClickHouse runs on Linux, macOS, Windows (via Docker). Redis runs on Linux, macOS, Windows.
- 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 Redis is typically brought in for.
- What can ClickHouse do that Redis cannot?
- ClickHouse covers Column-oriented Storage, Real-time Analytics, SQL Support, Linear Scalability. Redis covers In-memory data store, Data structures, Pub/Sub messaging, Lua scripting.
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.
SourceRedis: Is Redis open source?
Redis was open source under the BSD license since its inception in 2009 and has remained open source. However, in 2024-2025, Redis Labs changed licensing to source-available and AGPL, prompting the creation of Valkey, a BSD-licensed open-source fork.
SourceClickHouse: 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.
SourceRedis: What is Redis used for?
Redis is an in-memory data structure store used primarily as a cache, database, and message broker. It provides high-speed data access for real-time applications, sessions, leaderboards, real-time analytics, and other use cases requiring fast data retrieval.
SourceClickHouse: 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.
SourceRelated 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
- ClickHouse vs Asana
- ClickHouse vs ClickUp
- ClickHouse vs Linear
- ClickHouse vs Figma
- ClickHouse vs Kubernetes
- ClickHouse vs Notion
- ClickHouse vs Datadog
- ClickHouse vs Monday.com
- ClickHouse vs Terraform
- ClickHouse vs Docker
- ClickHouse vs Greenhouse
- ClickHouse vs Google Chrome
- ClickHouse vs Intercom
- ClickHouse vs Mozilla Firefox
- ClickHouse vs Okta
- ClickHouse vs PostHog
- ClickHouse vs Supabase
- ClickHouse vs Amplitude
- Redis vs Cockroach Labs
- Redis vs PostgreSQL
- Redis vs Airtable
- Redis vs Amazon Aurora
- Redis vs Elasticsearch
- Redis vs Apache Kafka
- Redis vs PlanetScale
- Redis vs Meilisearch
- Redis vs Turso
- Redis vs Azure SQL
- Redis vs Couchbase
- Redis vs DuckDB
- Redis vs MariaDB
- Redis vs Oracle Database
- Redis vs DataGrip
- Redis vs Firebolt
- Redis vs Google Cloud SQL
- Redis vs MotherDuck
- Redis vs Asana
- Redis vs ClickUp
- Redis vs Linear
- Redis vs Figma
- Redis vs Kubernetes
- Redis vs Notion
- Redis vs Datadog
- Redis vs Monday.com
- Redis vs Terraform
- Redis vs Docker
- Redis vs Greenhouse
- Redis vs Google Chrome
- Redis vs Intercom
- Redis vs Mozilla Firefox
- Redis vs Okta
- Redis vs PostHog
- Redis vs Supabase
- Redis vs Amplitude

