Software Alternatives, Accelerators & Startups

Redis VS SignalDB

Compare Redis VS SignalDB 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.

SignalDB logo SignalDB

SignalDB is a reactive, local-first JavaScript database designed for modern web applications. It combines signal-based reactivity with powerful local data management and real-time synchronization capabilities.
  • 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.

  • SignalDB Landing page
    Landing page //
    2025-02-05

SignalDB is a client-side database optimized for modern web applications, offering a MongoDB-like interface with robust TypeScript support to improve development speed and ensure type safety. SignalDB supports creating an optimistic UI for responsive, dynamic interfaces and offers versatile local data persistence with various storage providers. SignalDB is also able to gather data from multiple sources, enabling real-time updates and synchronization (see examples for AppWrite, Firebase, Supabase, RxDB and HTTP). Designed for efficiency in applications requiring quick data handling and real-time interactions, SignalDB provides instant data access, minimizing latency typical of server-side databases. Its lightweight architecture is framework-agnostic, making it suitable for both small and large-scale projects that require flexible, intuitive data management solutions. SignalDB provides adapters for popular reactive libraries including Angular, React (through 3rd party signal libraries), Solid.js, Vue.js and many more.

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.

SignalDB features and specs

  • Decentralization
    SignalDB is designed as a decentralized database, which eliminates a single point of failure and enhances data ownership and control by users.
  • Privacy
    The platform emphasizes privacy, ensuring that user data is encrypted and protected against unauthorized access.
  • Real-time Data Updates
    SignalDB provides real-time data updates, allowing applications to sync and reflect changes instantly.
  • Ease of Integration
    With comprehensive and easy-to-understand documentation, developers can quickly and efficiently integrate SignalDB into their applications.
  • Cost-Effective
    Being decentralized, SignalDB reduces the costs associated with traditional centralized server hosting and maintenance.

Possible disadvantages of SignalDB

  • Complexity of Implementation
    Integrating and managing a decentralized database can be more complex compared to traditional centralized databases, especially for developers new to this technology.
  • Network Dependency
    SignalDB's performance and reliability can be highly dependent on the network quality and availability, which might affect data retrieval and updates.
  • Limited Ecosystem
    As a relatively newer platform, SignalDB might have a smaller ecosystem with limited third-party tools and integrations compared to more established databases.
  • Scalability Challenges
    Depending on its decentralized nature, scaling SignalDB to handle large amounts of data or users might present specific technical challenges.
  • Learning Curve
    Developers unfamiliar with decentralized technologies may face a steeper learning curve when working with SignalDB compared to traditional database systems.

Redis videos

Improve your Redis developer experience with RedisInsight, Redis Labs

More videos:

  • Review - What is Redis? | Why and When to use Redis? | Tech Primers
  • Review - Redis Enterprise Overview with Yiftach Shoolman - Redis Labs
  • Review - Redis Labs "Why NoSQL is a Safe Bet"
  • Review - Redis system design | Distributed cache System design
  • Review - What is Redis and What Does It Do?
  • Review - Redis Sorted Sets Explained

SignalDB videos

No SignalDB videos yet. You could help us improve this page by suggesting one.

Add video

Category Popularity

0-100% (relative to Redis and SignalDB)
Databases
96 96%
4% 4
NoSQL Databases
96 96%
4% 4
Key-Value Database
100 100%
0% 0
Developer Tools
0 0%
100% 100

Questions and Answers

As answered by people managing Redis and SignalDB.

What's the story behind your product?

SignalDB's answer:

The creator of SignalDB, Max Nowack, was inspired by his past experiences working with Meteor.js, which offered a seamless developer experience, particularly in handling real-time data synchronization and reactivity. Over time, as he explored other frameworks and tools like Apollo/GraphQL, FeathersJS, Firebase, Appwrite, Supabase, and RxDB, he found that none of them matched the Developer Experience of Minimongo and Meteor on the frontend side. The discovery of signals in SolidJS led him to grasp its connection to the reactivity he had previously worked with in Meteor, which eventually inspired the creation of SignalDB to bring Meteor-like reactivity to modern JavaScript frameworks.

Which are the primary technologies used for building your product?

SignalDB's answer:

JavaScript, TypeScript

What makes your product unique?

SignalDB's answer:

SignalDB is unique for its MongoDB-like interface, TypeScript support, optimistic UI, and signal-based reactivity across multiple frameworks. It offers a universal interface that integrates well with various JavaScript frameworks and libraries through reactivity adapters, including Angular, Solid.js, Preact, Vue, among others. SignalDB's schema-less design, in-memory storage, and rapid query performance simplify data management, enhancing the developer experience significantly.

Why should a person choose your product over its competitors?

SignalDB's answer:

A person might choose SignalDB over its competitors for several reasons:

  • Its MongoDB-like interface allows developers to use common selectors without having to learn new things.
  • It offers first-class TypeScript support ensuring type safeness during development.
  • SignalDB's optimistic UI and signal-based reactivity facilitate real-time data updates and synchronization.
  • Its universal interface and pre-built adapters for numerous libraries make it highly compatible with various JavaScript frameworks.
  • The schema-less design and in-memory storage ensure rapid query performance and simplified data management

How would you describe your primary audience?

SignalDB's answer:

Developers looking for a reactive local JavaScript database solution that easily integrates with various JavaScript frameworks and libraries, who appreciate a MongoDB-like interface and TypeScript support for a type-safe development environment.

Who are some of the biggest customers of your product?

SignalDB's answer:

  • VineForecast GmbH

User comments

Share your experience with using Redis and SignalDB. For example, how are they different and which one is better?
Log in or Post with

Reviews

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

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.

SignalDB Reviews

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

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than SignalDB. While we know about 218 links to Redis, we've tracked only 3 mentions of SignalDB. 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 / 7 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 / 13 days 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 / 27 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 / 27 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 / about 1 month ago
View more

SignalDB mentions (3)

  • Using SignalDB with React: A complete guide
    SignalDB is a reactive, signal-based, client-side JavaScript database designed for modern web apps. It offers a powerful MongoDB-like interface for data handling through an intuitive API with first-class TypeScript support. This database technology is available via the signaldb npm package. - Source: dev.to / about 1 year ago
  • SQLSync – Stop Building Databases
    I'm trying to achieve something similar with SignalDB: https://signaldb.js.org/. - Source: Hacker News / over 1 year ago
  • SignalDB: Bringing Meteor-Like Reactivity to the Modern Age
    Learn more about SignalDB and also check out the documentation at https://signaldb.js.org. - Source: dev.to / over 1 year ago

What are some alternatives?

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

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

RxDB - A fast, offline-first, reactive Database for JavaScript Applications

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

PouchDB - Open-source JavaScript database inspired by Apache CouchDB that's designed to run well within the browser

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

Firebase - Firebase is a cloud service designed to power real-time, collaborative applications for mobile and web.