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  1. Stackups
  2. Application & Data
  3. In-Memory Databases
  4. In Memory Databases
  5. Redis vs Varnish

Redis vs Varnish

OverviewComparisonAlternatives

Overview

Redis
Redis
Stacks61.9K
Followers46.5K
Votes3.9K
GitHub Stars42
Forks6
Varnish
Varnish
Stacks12.6K
Followers2.7K
Votes370
GitHub Stars887
Forks195

Redis vs Varnish: What are the differences?

Redis and Varnish are both popular tools used in web development and caching. While both serve similar purposes, there are key differences between the two.

  1. Data Storage: Redis is a data store that allows storing and retrieving data, whereas Varnish is a caching layer that stores and serves pre-rendered HTML pages or static content. Redis can be used as a full-fledged database, while Varnish focuses on caching and accelerating web content.

  2. Data Structure: Redis supports various data structures like strings, sets, lists, hashes, and more, providing flexibility in data modeling. Varnish, on the other hand, does not have complex data structures and primarily focuses on caching and delivering static content efficiently.

  3. Use Case: Redis is commonly used as a primary database, cache, or message broker in applications where high-speed data access is critical, such as real-time analytics or session management. Varnish, on the other hand, is typically used as a front-end caching layer in web architectures to improve website performance by serving static content quickly.

  4. HTTP Optimization: Varnish includes built-in HTTP optimization features like content compression, request/response rewriting, and load balancing. It can cache and serve static assets like images, CSS, and JS files efficiently. Redis, however, does not provide these HTTP-specific optimizations and primarily focuses on data storage and retrieval.

  5. Storage Capacity: Redis is limited by the amount of available memory and can handle a substantial amount of data as long as it fits in memory. Varnish, on the other hand, can store larger amounts of data as it can be configured to use disk-based storage when the available memory is exhausted.

  6. Configuration Complexity: Redis has a relatively simpler configuration and can be easily integrated into existing applications. Varnish, on the other hand, requires more expertise in web server administration and configuration due to its more complex caching and proxying nature.

In summary, Redis is a versatile in-memory data store with advanced features, suitable for use cases where fast data access is critical, while Varnish is a web application accelerator and caching layer focused on optimizing website performance by caching and serving static content efficiently.

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Detailed Comparison

Redis
Redis
Varnish
Varnish

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache, and message broker. Redis provides data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes, and streams.

Varnish Cache is a web application accelerator also known as a caching HTTP reverse proxy. You install it in front of any server that speaks HTTP and configure it to cache the contents. Varnish Cache is really, really fast. It typically speeds up delivery with a factor of 300 - 1000x, depending on your architecture.

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Powerful, feature-rich web cache;HTTP accelerator; Speed up the performance of your website and streaming services
Statistics
GitHub Stars
42
GitHub Stars
887
GitHub Forks
6
GitHub Forks
195
Stacks
61.9K
Stacks
12.6K
Followers
46.5K
Followers
2.7K
Votes
3.9K
Votes
370
Pros & Cons
Pros
  • 888
    Performance
  • 542
    Super fast
  • 514
    Ease of use
  • 444
    In-memory cache
  • 324
    Advanced key-value cache
Cons
  • 15
    Cannot query objects directly
  • 3
    No secondary indexes for non-numeric data types
  • 1
    No WAL
Pros
  • 104
    High-performance
  • 67
    Very Fast
  • 57
    Very Stable
  • 44
    Very Robust
  • 37
    HTTP reverse proxy

What are some alternatives to Redis, Varnish?

Section

Section

Edge Compute Platform gives Dev and Ops engineers the access and control they need to run compute workloads on a distributed edge.

Hazelcast

Hazelcast

With its various distributed data structures, distributed caching capabilities, elastic nature, memcache support, integration with Spring and Hibernate and more importantly with so many happy users, Hazelcast is feature-rich, enterprise-ready and developer-friendly in-memory data grid solution.

Aerospike

Aerospike

Aerospike is an open-source, modern database built from the ground up to push the limits of flash storage, processors and networks. It was designed to operate with predictable low latency at high throughput with uncompromising reliability – both high availability and ACID guarantees.

MemSQL

MemSQL

MemSQL converges transactions and analytics for sub-second data processing and reporting. Real-time businesses can build robust applications on a simple and scalable infrastructure that complements and extends existing data pipelines.

Apache Ignite

Apache Ignite

It is a memory-centric distributed database, caching, and processing platform for transactional, analytical, and streaming workloads delivering in-memory speeds at petabyte scale

SAP HANA

SAP HANA

It is an application that uses in-memory database technology that allows the processing of massive amounts of real-time data in a short time. The in-memory computing engine allows it to process data stored in RAM as opposed to reading it from a disk.

VoltDB

VoltDB

VoltDB is a fundamental redesign of the RDBMS that provides unparalleled performance and scalability on bare-metal, virtualized and cloud infrastructures. VoltDB is a modern in-memory architecture that supports both SQL + Java with data durability and fault tolerance.

Squid

Squid

Squid reduces bandwidth and improves response times by caching and reusing frequently-requested web pages. Squid has extensive access controls and makes a great server accelerator. It runs on most available operating systems, including Windows and is licensed under the GNU GPL.

Nuster

Nuster

nuster is a high performance HTTP proxy cache server and RESTful NoSQL cache server based on HAProxy.

Tarantool

Tarantool

It is designed to give you the flexibility, scalability, and performance that you want, as well as the reliability and manageability that you need in mission-critical applications

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