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RedisGraph VS Redis

Compare RedisGraph VS Redis and see what are their differences

RedisGraph logo RedisGraph

A high-performance graph database implemented as a Redis module.

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.
  • RedisGraph Landing page
    Landing page //
    2023-03-24
  • 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.

RedisGraph features and specs

  • High Performance
    RedisGraph is designed for fast operations using an in-memory structure with optimized algorithms. It leverages sparse matrices and linear algebra to perform graph operations efficiently, resulting in high query performance suitable for real-time applications.
  • Cypher Query Language
    RedisGraph uses the Cypher query language, which is intuitive and widely used. This makes it easier for those familiar with graph databases to write queries without a steep learning curve.
  • Integration with Redis Ecosystem
    Being part of the Redis ecosystem allows RedisGraph to integrate seamlessly with other Redis modules and core features, benefiting from Redis's scalability, replication, and persistence capabilities.
  • Open Source and Active Community
    As an open-source project, RedisGraph benefits from community contributions and transparency. The active development and support community can be advantageous for users seeking collaboration or needing assistance.

Possible disadvantages of RedisGraph

  • Memory Usage
    RedisGraph operates in-memory, which can lead to high memory usage, especially for large datasets. This can make it impractical for very large graphs without sufficient hardware resources.
  • Limited Graph Features
    Compared to some specialized graph databases, RedisGraph may offer a more limited set of advanced graph-specific features. This could be a constraint for users needing specific functionalities like multi-tenancy or advanced analytical capabilities.
  • Persistence Limitations
    While RedisGraph benefits from Redis’s persistence mechanisms, it primarily functions as an in-memory database. Thus, ensuring durability and handling large datasets with persistence needs might require additional configuration and resources.
  • Complexity for Beginners
    Though Cypher is relatively easy to learn, those new to graph databases might find the concepts and setup of RedisGraph complex, especially if they need to install and manage Redis modules and configurations.

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.

RedisGraph videos

Deep Dive into RedisGraph

More videos:

  • Review - Creating a Model of Human Physiology w/RedisGraph - RedisConf 2020

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

Category Popularity

0-100% (relative to RedisGraph and Redis)
Databases
6 6%
94% 94
Graph Databases
21 21%
79% 79
NoSQL Databases
5 5%
95% 95
Key-Value Database
0 0%
100% 100

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Reviews

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

RedisGraph Reviews

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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.

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than RedisGraph. While we know about 218 links to Redis, we've tracked only 2 mentions of RedisGraph. 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.

RedisGraph mentions (2)

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 / 28 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
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What are some alternatives?

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

neo4j - Meet Neo4j: The graph database platform powering today's mission-critical enterprise applications, including artificial intelligence, fraud detection and recommendations.

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

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

NetworkX - NetworkX is a Python language software package for the creation, manipulation, and study of the...

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

OrientDB - OrientDB - The World's First Distributed Multi-Model NoSQL Database with a Graph Database Engine.