Software Alternatives, Accelerators & Startups

Redis VS Varnish

Compare Redis VS Varnish and see what are their differences

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

Varnish logo Varnish

High-performance HTTP accelerator
  • Redis Landing page
    Landing page //
    2022-10-19

Redis is an open source (BSD licensed), in-memory data structure store, used as a database, cache and message broker. It supports data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperloglogs, geospatial indexes with radius queries and streams. Redis has built-in replication, Lua scripting, LRU eviction, transactions and different levels of on-disk persistence, and provides high availability via Redis Sentinel and automatic partitioning with Redis Cluster.

  • Varnish Landing page
    Landing page //
    2023-05-09

Redis features and specs

  • Performance
    Redis is an in-memory data store, which allows it to provide extremely fast read and write operations. This makes it ideal for applications requiring real-time interactions.
  • Data Structures
    Redis offers a variety of data structures, such as strings, hashes, lists, sets, and sorted sets. This flexibility helps developers manage data more efficiently in different scenarios.
  • Scalability
    Redis supports horizontal scalability with features like clustering and partitioning, allowing for easy scaling as your application grows.
  • Persistence
    Though primarily an in-memory store, Redis provides options for data persistence, such as RDB snapshots and AOF logs, enabling data durability across reboots.
  • Pub/Sub Messaging
    Redis includes a built-in publish/subscribe messaging system, which can be used to implement real-time messaging and notifications.
  • Simple API
    Redis has a simple and intuitive API, which can speed up development time and make it easier to integrate Redis into various application stacks.
  • Atomic Operations
    Redis supports atomic operations on data structures, reducing the complexity of concurrent programming and making it easier to maintain data consistency.

Possible disadvantages of Redis

  • Memory Usage
    Being an in-memory data store, Redis can become expensive in terms of memory usage, especially when working with large datasets.
  • Data Persistence Limitations
    While Redis offers data persistence, it is not as robust as traditional databases. There can be data loss in certain configurations, such as when using asynchronous persistence methods.
  • Complexity in Scaling
    Although Redis supports clustering, setting up and managing a Redis cluster can be complex and may require significant DevOps expertise.
  • Single-threaded Nature
    Redis operates on a single-threaded event loop, which can become a bottleneck for certain workloads that could benefit from multi-threading.
  • Limited Query Capabilities
    Compared to traditional relational databases, Redis offers limited querying capabilities. Complex queries and joins are not supported natively.
  • License
    As of Redis 6 and higher, the Redis modules are under the Server Side Public License (SSPL), which may be restrictive for some use cases compared to more permissive open-source licenses.

Varnish features and specs

  • Caching Efficiency
    Varnish is highly efficient at caching, which significantly reduces the load on the web server by serving cached content quickly, improving response times for users.
  • Flexibility with VCL
    Varnish Configuration Language (VCL) allows for flexible and powerful configurations, enabling users to customize caching policies and behaviors to meet specific needs.
  • High Performance
    Varnish is designed to handle a large number of requests per second, making it suitable for high-traffic websites seeking to improve their performance and scalability.
  • HTTP Support
    Varnish supports HTTP/1.1 and can be configured to work with HTTP/2, effectively caching HTTP protocol responses and requests.
  • Grace Mode
    Grace Mode is a feature in Varnish that allows serving stale content while fetching fresh content from the server, minimizing downtime during backend failures.

Possible disadvantages of Varnish

  • Steep Learning Curve
    Varnish's powerful configuration options, specifically VCL, can be complex for new users to learn and manage effectively, potentially leading to misconfigurations.
  • Lack of SSL/TLS Support
    Varnish does not natively support SSL/TLS termination, requiring additional tools like Nginx or Hitch for handling HTTPS connections.
  • Limited Built-in Security Features
    Varnish lacks built-in security features such as web application firewall (WAF) capabilities, requiring additional layers to secure web applications.
  • Resource Intensive
    Depending on the configurations and traffic patterns, Varnish can be resource-intensive, necessitating careful management of system resources.
  • Complex Debugging
    Debugging issues in Varnish can be challenging due to its complex configurations and log outputs, often requiring in-depth knowledge and specific tools.

Redis videos

What is Redis? | Why and When to use Redis? | Tech Primers

More videos:

  • Review - Improve your Redis developer experience with RedisInsight, Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

Varnish videos

Product Review 33 - AK Interactive Ultra Matte Varnish

More videos:

  • Review - Gamvar vs Liquitex - Acrylic Paint Varnish Review
  • Review - (473) Liquitex varnish review gloss vs. Matte

Category Popularity

0-100% (relative to Redis and Varnish)
Databases
96 96%
4% 4
Proxy Server
0 0%
100% 100
NoSQL Databases
100 100%
0% 0
Key-Value Database
91 91%
9% 9

User comments

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Reviews

These are some of the external sources and on-site user reviews we've used to compare Redis and Varnish

Redis Reviews

Redis Alternative for App Performance | Gigaspaces
Redis offers a RESTful API for accessing data stored within its in-memory technology data structures. This API provides a simple and efficient way to interact with Redis, enabling developers to leverage its capabilities seamlessly in their applications. Developers also need to manage the Redis cached data lifecycle, it’s the application responsibility to store the data &...
Are Free, Open-Source Message Queues Right For You?
A notable challenge with Redis Streams is that it doesn't natively support distributed, horizontal scaling. Also, while Redis is famous for its speed and simplicity, managing and scaling a Redis installation may be complex for some users, particularly for persistent data workloads.
Source: blog.iron.io
Redis vs. KeyDB vs. Dragonfly vs. Skytable | Hacker News
1. Redis: I'll start with Redis which I'd like to call the "original" key/value store (after memcached) because it is the oldest and most widely used of all. Being a long-time follower of Redis, I do know it's single-threaded (and uses io-threads since 6.0) and hence it achieves lesser throughput than the other stores listed above which are multi-threaded, at least to some...
Memcached vs Redis - More Different Than You Would Expect
Remember when I wrote about how Redis was using malloc to assign memory? I lied. While Redis did use malloc at some point, these days Redis actually uses jemalloc. The reason for this is that jemalloc, while having lower peak performance has lower memory fragmentation helping to solve the framented memory issues that Redis experiences.
Top 15 Kafka Alternatives Popular In 2021
Redis is a known, open-source, in-memory data structure store that offers different data structures like lists, strings, hashes, sets, bitmaps, streams, geospatial indexes, etc. It is best utilized as a cache, memory broker, and cache. It has optional durability and inbuilt replication potential. It offers a great deal of availability through Redis Sentinel and Redis Cluster.

Varnish Reviews

We have no reviews of Varnish yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than Varnish. While we know about 216 links to Redis, we've tracked only 18 mentions of Varnish. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Redis mentions (216)

  • Finding Bigfoot with Async Generators + TypeScript
    Of course, these examples are just toys. A more proper use for asynchronous generators is handling things like reading files, accessing network services, and calling slow running things like AI models. So, I'm going to use an asynchronous generator to access a networked service. That service is Redis and we'll be using Node Redis and Redis Query Engine to find Bigfoot. - Source: dev.to / 4 days ago
  • Caching Isn’t Always the Answer – And Here’s Why
    Slap on some Redis, sprinkle in a few set() calls, and boom—10x faster responses. - Source: dev.to / 4 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    Real-time serving: Many push processed data into low-latency serving layers like Redis to power applications needing instant responses (think fraud detection, live recommendations, financial dashboards). - Source: dev.to / 18 days ago
  • Setup a Redis Cluster using Redis Stack
    Redis® Cluster is a fully distributed implementation with automated sharding capabilities (horizontal scaling capabilities), designed for high performance and linear scaling up to 1000 nodes. . - Source: dev.to / about 1 month ago
  • Modern Web Development Sucks? How PostgreSQL Can Replace Your Tech Stack
    Instead of spinning up Redis, use an unlogged table in PostgreSQL for fast, ephemeral storage. - Source: dev.to / 2 months ago
View more

Varnish mentions (18)

  • How to Increase API Performance
    Caching helps minimize backend strain, reduce delays, and handle more requests, which translates to better scalability, smoother user interactions, and smarter resource use. Tools like Redis and Varnish have shown impressive results in high-demand API setups [1]. - Source: dev.to / 3 months ago
  • API Caching: Techniques for Better Performance
    Varnish Cache — A web application accelerator that serves as an intermediary between web clients and servers. It provides logging, request inspection, authentication and authorization, and throttling. Varnish can also enhance security as a web application firewall, hotlinking protector, and DDoS attack defense tool. - Source: dev.to / 7 months ago
  • Varnish Cache
    Varnish Cache is a tool that provides a caching HTTP reverse proxy in order to accelerate your web applications. Once Varnish Cache is installed in front of any server that understands HTTP and configured to cache the contents, delivery speeds are typically enhanced by a factor of 300-1000x, depending on architecture. Kilobyte22 finds this tool along with HAProxy to be a winning combo. Source: almost 2 years ago
  • Leveraging Cache to improve Web Performance
    In this case, caching mechanism is situated in the proxy server or reverse proxy server like Nginx, Apache, or Varnish, and most probably it is a part of ISP (Internet Service Provider). - Source: dev.to / almost 2 years ago
  • Beyond Changing Technology: Scaling Your Applications Efficiently
    To handle this level of traffic, you can use tools such as Varnish HTTP Cache, which caches the information of a news article starting from the first user who accesses and makes the request. Once Varnish caches the page, subsequent users will receive a response that is saved in memory. This process allows you to avoid unnecessary synchronous requests and send a quick response to users. - Source: dev.to / about 2 years ago
View more

What are some alternatives?

When comparing Redis and Varnish, you can also consider the following products

MongoDB - MongoDB (from "humongous") is a scalable, high-performance NoSQL database.

Squid Proxy - Website Content Acceleration and Distribution. Thousands of web-sites around the Internet use Squid to drastically increase their content delivery. Squid can reduce your server load and improve delivery speeds to clients.

ArangoDB - A distributed open-source database with a flexible data model for documents, graphs, and key-values.

memcached - High-performance, distributed memory object caching system

Apache Cassandra - The Apache Cassandra database is the right choice when you need scalability and high availability without compromising performance.

Polipo - A small and fast caching web proxy (a web cache, an HTTP proxy, a proxy server).