Software Alternatives, Accelerators & Startups

Redis VS Realm.io

Compare Redis VS Realm.io 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.

Realm.io logo Realm.io

Realm is a mobile platform and a replacement for SQLite & Core Data. Build offline-first, reactive mobile experiences using simple data sync.
  • 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.

  • Realm.io Landing page
    Landing page //
    2023-05-04

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.

Realm.io features and specs

  • Easy Integration
    Realm is designed to be easy to set up and integrate into existing projects, with straightforward APIs and comprehensive documentation.
  • Performance
    Realm provides high performance with minimal overhead. It's faster than many traditional databases for many use cases, especially with large datasets and complex queries.
  • Cross-Platform Support
    Realm supports multiple platforms including iOS, Android, and React Native, allowing for easy cross-platform development.
  • Real-Time Data Sync
    Realm offers real-time synchronization of data between devices and a server, ensuring consistency and enabling collaborative features.
  • Rich Data Types
    Realm supports complex data types such as lists and objects, making it more flexible for various types of applications.

Possible disadvantages of Realm.io

  • Learning Curve
    Despite extensive documentation, there can be a learning curve for developers new to Realm, particularly if they are accustomed to traditional SQL databases.
  • Storage Size
    Realm databases can become large quickly, especially if not properly managed, potentially impacting app performance and storage costs.
  • Limited Query Language
    While powerful, Realm's query language isn't as mature or feature-rich as SQL, which might limit some advanced querying needs.
  • Tooling
    The tooling ecosystem for Realm is not as extensive as those for more established databases like SQLite or MongoDB, which could impact developer productivity.
  • Vendor Lock-In
    Using Realm might lead to vendor lock-in, as migrating away from it to another database system can be complex and time-consuming.

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

Realm.io videos

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

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Category Popularity

0-100% (relative to Redis and Realm.io)
Databases
87 87%
13% 13
NoSQL Databases
87 87%
13% 13
Key-Value Database
100 100%
0% 0
Data Integration
0 0%
100% 100

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 Realm.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 &...
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.

Realm.io Reviews

We have no reviews of Realm.io yet.
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Social recommendations and mentions

Based on our record, Redis should be more popular than Realm.io. It has been mentiond 216 times since March 2021. 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 / 3 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 / 3 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 / 17 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

Realm.io mentions (25)

  • Release Radar · September 2024: Major updates from the open source community
    From the team at MongoDB comes Realm, a mobile database that runs directly inside phones, tablets, or wearables. It's built for mobile, and designed for offline use. The latest release comes with built-in Swift 6 language mode, and Xcode 16 support. Some breaking changes include removal of Atlas App Services and Atlas Device Sync functionality, Strings and Data now considered different types and thus queries won't... - Source: dev.to / 7 months ago
  • I built a WebComponents-based framework
    Looks really cool, I like to make very minimalistic dependency choices for the web apps I work on. Web Components look interesting and it's great to see frameworks that build upon it and provide features that are currently missing from it. When I landed on the page I remembered another Realm framework I used a lot long time ago. https://realm.io has the same name and the logo looks very similar too. Not sure if... - Source: Hacker News / over 1 year ago
  • Realm Database, Expo SDK 49 and Expo Router Getting Started
    Realm is a fast, scalable alternative to SQLite with mobile to cloud data sync that makes building real-time, reactive mobile apps easy. - Source: dev.to / over 1 year ago
  • Looking for android java developer mentor
    I would focus on Kotlin instead of Java, there's really no point in sticking to Java at this point. And when it comes to databases, some local ones that are pretty easy to get into are Realm and ObjectBox, SQLite can definitely be a bit overwhelming at the beginning. Source: almost 2 years ago
  • Want to build a simple database app....Where do I start
    Just to add to this, there's also Realm and ObjectBox as alternatives. Source: over 2 years ago
View more

What are some alternatives?

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

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

ObjectBox - ObjectBox empower edge computing with an edge device database and synchronization solution for Mobile & IoT. Store and sync data from edge to cloud.

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

Microsoft SQL Server Compact - Bring Microsoft SQL Server 2017 to the platform of your choice. Use SQL Server 2017 on Windows, Linux, and Docker containers.

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

CompactView - Viewer for Microsoft® SQL Server® CE database files (sdf)