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Redis ™ VS Codehooks.io

Compare Redis VS Codehooks.io and see what are their differences

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Redis logo Redis

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

Codehooks.io logo Codehooks.io

Fast and Easy NoSQL backend service which lets you use JavaScript to build instantly deployable database-powered APIs and microservices for your applications.
  • 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.

  • Codehooks.io Codehooks landing page
    Codehooks landing page //
    2024-06-01

A NoSQL backend integrating the essentials you need.

One compact, deployable package contains JavaScript Functions with access to two types of NoSQL database (document and key/value), message queues and CRON jobs. All you need is there, no config or setup. Forget complex devops security, scalability, network and K8s "space ship" setups.

With codehooks.io you can quickly create APIs with persistence and processing logic using only Javascript.

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.

Codehooks.io features and specs

  • User friendly web-based Data Studio for querying and managing data
  • Serverless Javascript Functions
  • Instant deployment without complex devops setup
  • Integrated NoSQL database (with MongoDB-like queries))
  • Integrated Key/value database
  • Integrated Message Queue
  • Integrated scheduled jobs (like CRON)
  • Powerful CLI
  • Easy data import of CSV, JSON
  • Easy authentication setup with JWT and JWKS

Redis videos

+ Add

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

Codehooks.io videos

+ Add

How to create and deploy a database backend using codehooks.io in 30 seconds

Category Popularity

0-100% (relative to Redis and Codehooks.io)

Redis

Codehooks.io

Databases
100 100%
Databases
0% 0
Backend As A Service
0 0%
Backend As A Service
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Developer Tools
0 0%
Developer Tools
100% 100

Questions and Answers

As answered by people managing Redis and Codehooks.io.

What's the story behind your product?

Codehooks.io's answer:

codehooks.io was created by an experienced SaaS team based in Norway, Europe.

In 2016 we launched restdb.io - a simple online database backend with automatic API creation and low code "hooks". restdb.io has a freemium model and has paying users in every corner of the world.

The idea behind codehooks.io is to take the "code engine" part of restdb.io and rebuild it from scratch into a more complete backend solution for JavaScript (and TypeScript) developers.

Although restdb.io is reasonably fast, it can't really compare to the highly optimized API and database engine (RocksDB) we have built into codehooks.io.

What makes your product unique?

Codehooks.io's answer:

Codehooks.io isn't just another backend service; it's a revolution in how developers think about and interact with backend technologies.

Which are the primary technologies used for building your product?

Codehooks.io's answer:

Node.js, Docker, Kubernetes, RocksDB

Who are some of the biggest customers of your product?

Codehooks.io's answer:

No big customers we are allowed to disclose (yet) - mostly indiehackers and small businesses.

Why should a person choose your product over its competitors?

Codehooks.io's answer:

Because it supports extremely rapid development and bundles mechanisms which solve most backend problems easily (API, CRUD, queue, jobs, NoSQL, web-based data management).

How would you describe your primary audience?

Codehooks.io's answer:

Makers and web developers focused on solving problems quickly. Whether the task is system integration, data collection, or e-commerce powering - codehooks.io is a quick yet powerful backend solution.

User comments

Share your experience with using Redis and Codehooks.io. For example, how are they different and which one is better?
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Reviews

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

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 &...
Source: www.gigaspaces.com
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...
Source: news.ycombinator.com
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.
Source: engineering.kablamo.com.au
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.
Source: www.spec-india.com

Codehooks.io Reviews

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

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than Codehooks.io. While we know about 218 links to Redis, we've tracked only 15 mentions of Codehooks.io. 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 (218)

  • Cache Invalidation: The Silent Performance Killer
    Picture this: you've just built a snappy web app, and you're feeling pretty good about it. You've added Redis to cache frequently accessed data, and your app is flying—pages load in milliseconds, users are happy, and you're a rockstar. But then, a user updates their profile, and… oops. The app still shows their old info. Or worse, a new blog post doesn't appear on the homepage. What's going on? Welcome to the... - Source: dev.to / 29 days ago
  • Feature Comparison: Reliable Queue vs. Valkey and Redis Stream
    Valkey and Redis streams are data structures that act like append-only logs with some added features. Redisson PRO, the Valkey and Redis client for Java developers, improves on this concept with its Reliable Queue feature. - Source: dev.to / about 1 month ago
  • 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 / about 2 months 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 / about 2 months 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 / 2 months ago
View more

Codehooks.io mentions (15)

  • Building Reliable Workflows with Serverless JavaScript
    And now, with Codehooks.io, building these workflows is easy, fast, and JavaScript-native. Let's dive in. - Source: dev.to / 18 days ago
  • Building SEO-Optimized Directory Services with Codehooks.io: A Developer's Guide
    In today's digital landscape, creating and maintaining directory services can be a complex task. Whether you're building a product catalog, service directory, or resource hub, you need a solution that's both developer-friendly and SEO-optimized. This is where the directory-template comes in - a powerful open-source solution built on Codehooks.io that makes it easy to create and deploy directory services. - Source: dev.to / about 2 months ago
  • Introducing JSON Schema for codehooks.io backend collections
    In today's fast-paced digital environment, having a reliable backend for applications is crucial. A good datastore ensures data integrity, security, and scalability, which are vital for both business and user experiences. Codehooks.io provides a solid solution with its Datastore, JSON schema support, and a MongoDB-like NoSQL API. This platform helps maintain data consistency and validation and offers a REST API... - Source: dev.to / 11 months ago
  • A list of SaaS, PaaS and IaaS offerings that have free tiers of interest to devops and infradev
    Codehooks.io — JavaScript serverless API/backend and database service with functions, Mongdb-ish queries, key/value lookups, a job system, and a message queue. One instance free per project, 5000 records, 5000 calls/month free, three developers included. No credit-card required. - Source: dev.to / over 1 year ago
  • DaisyUI + Alpine.js + Codehooks.io - the simple web app trio
    This guide is tailored for front-end developers looking to explore the smooth integration of DaisyUI's stylish components, Alpine.js's minimalist reactive framework, and the straightforward back-end capabilities of Codehooks.io. - Source: dev.to / over 1 year ago
View more

What are some alternatives?

When comparing Redis and Codehooks.io, you can also consider the following products

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

Cloud Functions for Firebase - Serverless / Task Processing

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

Google Cloud Functions - A serverless platform for building event-based microservices.

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

Heroku - Agile deployment platform for Ruby, Node.js, Clojure, Java, Python, and Scala. Setup takes only minutes and deploys are instant through git. Leave tedious server maintenance to Heroku and focus on your code.

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