Redis vs ClickHouse
Side-by-side comparison of features, pricing, ratings, and alternatives.
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.
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.
Open source; Redis Cloud managed plans available.
- Extremely fast
- Versatile data structures
- Great for caching
- Widely supported
- 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
- In-memory means RAM cost
- Persistence needs configuration
- Not a primary relational store
- Steep learning curve for new users
- Limited support for transactional workloads
- May require significant resources for large-scale deployments
What reviewers say
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.
ClickHouse Reviews
No reviews yet.
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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 Redis if…
Backend teams needing ultra‑fast caching, session storage, or pub/sub messaging.
Choose ClickHouse if…
Data analysts/scientists requiring large‑scale, real‑time analytical queries on columnar data.
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.