ClickHouse vs Redis
Side-by-side comparison of features, pricing, ratings, and alternatives.
ClickHouse is an open-source, column-store database management system for analytical and transactional workloads. It allows for fast data processing and analysis, and is designed for use with large amounts of data.
Redis is an in-memory key-value data store used for caching, session storage, queues, and real-time features, prized for its speed. It supports rich data structures beyond simple key-value.
Open source; Redis Cloud managed plans available.
- High performance and scalability
- Supports real-time data processing and analytics
- Column-store architecture for efficient data storage and retrieval
- Open-source and free to use
- Extremely fast
- Versatile data structures
- Great for caching
- Widely supported
- Steep learning curve for new users
- Limited support for transactional workloads
- May require significant resources for large-scale deployments
- In-memory means RAM cost
- Persistence needs configuration
- Not a primary relational store
What reviewers say
ClickHouse Reviews
No reviews yet.
Redis Reviews
4.7 (3)Great database
Redis has been part of our stack. Widely supported. Minor gripe: persistence needs configuration. Would recommend.
Solid choice
Been using Redis for a while. Versatile data structures. No real complaints. Would recommend.
Recommend Redis
Been using Redis for a while. Widely supported. No real complaints. Would recommend.
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The Verdict
AI-generated from listing dataRedis is the go‑to in‑memory cache for fast, versatile data handling, while ClickHouse is a free column‑store for large‑scale analytics; choose based on whether you need sub‑millisecond caching or high‑throughput analytical queries.
Key differences
- •Data model: Redis offers key‑value with rich in‑memory structures; ClickHouse uses a column‑store relational model.
- •Primary use case: Redis excels at caching, session storage, pub/sub; ClickHouse excels at analytical queries and real‑time reporting.
- •Performance focus: Redis provides sub‑millisecond latency for reads/writes; ClickHouse provides high throughput for bulk analytical scans.
- •Scalability type: Redis scales vertically with RAM; ClickHouse scales horizontally via distributed clusters.
- •Pricing model: Redis is open source but enterprise cloud plans require contact; ClickHouse is completely free.
Pricing & value
ClickHouse is free; Redis requires contact for managed plans and incurs RAM costs for in‑memory storage.
Ease of use / learning curve
Redis has simple key‑value commands; ClickHouse’s column‑store SQL and scaling can be steep for newcomers.
Features & depth
Redis offers rich data structures and pub/sub; ClickHouse offers full SQL analytics and compression—different strengths.
Integrations & ecosystem
ClickHouse lists specific integrations (Kafka, HDFS, Arrow); Redis only notes generic API availability.
Scalability
ClickHouse is designed for horizontal scaling and high availability; Redis scaling is limited by RAM and self‑hosting.
Support
ClickHouse provides email, docs, community forum; Redis only notes API availability, no formal support listed.
Security & privacy
ClickHouse mentions data compression, encryption, and role‑based access; Redis has no specified security features.
Choose ClickHouse if…
Data analysts/scientists requiring large‑scale, real‑time analytical queries on columnar data.
Choose Redis if…
Backend teams needing ultra‑fast caching, session storage, or pub/sub messaging.
Common questions
Which tool is free to use?
ClickHouse is free; Redis is open source but managed cloud plans require contacting the vendor.
Can Redis handle analytical workloads?
Redis is optimized for caching and real‑time operations, not for large analytical queries; ClickHouse is built for that.
What are the main scaling limitations?
Redis scales by adding RAM and may need sharding; ClickHouse scales horizontally across distributed nodes for big data.