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Redis ™ VS GridGain In-Memory Data Fabric

Compare Redis VS GridGain In-Memory Data Fabric 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.

GridGain In-Memory Data Fabric logo GridGain In-Memory Data Fabric

TheGridGain In-Memory Computing Platform is a comprehensive solution provides speed and scale for data intensive applications across any data store
  • 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.

  • GridGain In-Memory Data Fabric 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.

GridGain In-Memory Data Fabric features and specs

  • High Performance
    GridGain offers in-memory computing which significantly speeds up data processing by storing the data in RAM instead of traditional disk-based storage. This leads to faster data access and transaction times.
  • Scalability
    GridGain is designed to scale horizontally, meaning you can add more nodes to the system to handle increasing loads without a loss in performance.
  • Compatibility
    GridGain supports a wide range of data sources, including SQL, NoSQL, and Hadoop. It can be smoothly integrated into existing data architecture.
  • Distributed Computing
    GridGain offers built-in support for distributed computing, enabling tasks to be distributed across multiple nodes for parallel execution, thus enhancing processing efficiency.
  • Fault Tolerance
    GridGain comes with robust fault-tolerance mechanisms, including data replication and backup options, ensuring high availability and data integrity.
  • Advanced Analytics
    GridGain supports real-time analytics and complex event processing, making it suitable for intelligent data-driven decision-making.
  • Developer Tools
    GridGain provides a rich set of APIs and developer tools that simplify application development and monitoring.

Possible disadvantages of GridGain In-Memory Data Fabric

  • Cost
    The enterprise version of GridGain can be expensive, especially for small to mid-sized organizations.
  • Complexity
    Setting up and managing a GridGain cluster can be complex and may require specialized knowledge and skills, potentially leading to a steep learning curve.
  • Memory Dependency
    Since GridGain relies heavily on in-memory storage, it requires substantial RAM. Organizations with limited memory resources may find it challenging to implement.
  • Network Latency
    In a distributed setup, network latency can become an issue, particularly if the nodes are geographically dispersed.
  • Partial SQL Support
    While GridGain supports SQL, it may not offer full compliance with all SQL features. This could be limiting for applications that rely heavily on advanced SQL functionalities.
  • Vendor Lock-In
    Relying on a specialized in-memory data fabric like GridGain may lead to vendor lock-in, making it difficult to switch to other solutions in the future.

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

GridGain In-Memory Data Fabric videos

+ Add

Deploying the GridGain In-Memory Data Fabric

Category Popularity

0-100% (relative to Redis and GridGain In-Memory Data Fabric)

Redis

GridGain In-Memory Data Fabric

Databases
100 100%
Databases
0% 0
Data Dashboard
0 0%
Data Dashboard
100% 100
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Business Intelligence
0 0%
Business Intelligence
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 GridGain In-Memory Data Fabric

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

GridGain In-Memory Data Fabric Reviews

We have no reviews of GridGain In-Memory Data Fabric yet.
Be the first one to post

Social recommendations and mentions

Based on our record, Redis seems to be more popular. 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 / 12 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 / 12 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 / 26 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 2 months 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

GridGain In-Memory Data Fabric mentions (0)

We have not tracked any mentions of GridGain In-Memory Data Fabric yet. Tracking of GridGain In-Memory Data Fabric recommendations started around Mar 2021.

What are some alternatives?

When comparing Redis and GridGain In-Memory Data Fabric, you can also consider the following products

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

Pentaho - Pentaho is a Business Intelligence software company that offers Pentaho Business Analytics, a suite...

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

JasperReports - JasperReports Server is a stand-alone and embeddable reporting server.

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

Sisense - The BI & Dashboard Software to handle multiple, large data sets.

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