What is Redis® open source?


Often referred to as a data structure server, Redis® open source* is an advanced key-value store that has revolutionized how developers approach in-memory databases. Redis® open source database offers unparalleled speed and flexibility, allowing for quick data retrieval and high-performance operations. Whether you’re directly interacting with a Redis® open source server, leveraging managed Redis® open source services, or integrating with a Redis® open source client, the platform offers a robust set of tools for enhancing application performance and scalability.

Redis® open source Explained: Understanding the in-memory database

Redis® open source, which stands for Remote Dictionary Server, is an open-source, in-memory data structure store used as a database, cache, and message broker. It supports various data structures such as strings, hashes, lists, sets, sorted sets with range queries, bitmaps, hyperlogs, geospatial indexes, and streams. Redis® open source has earned a reputation for its high performance, delivering sub-millisecond response times that enable millions of requests per second for real-time applications – in gaming, technology, financial services, and healthcare.

Unlike traditional disk-based databases that rely on relatively slow disk I/O, Redis® open source stores its data in memory. This core feature allows for quick access to data, making it an excellent choice for applications that require high-speed reads and writes, such as caching, session management, real-time analytics, and high-speed transactions.

How does Redis® open source work?

At its core, Redis® open source runs as an in-memory, key-value store that provides lightning-fast data access, making it an ideal solution for applications requiring fast response times.

In-memory data storage

Redis® open source stores all data directly in RAM, for quick data retrieval and manipulation. This in-memory feature significantly reduces the latency associated with disk-based storage systems, enabling Redis® open source to perform operations at unmatched speeds. Despite being primarily in-memory, Redis® open source offers options for data persistence to ensure durability and data safety.

Data structures and modularity

Unlike simple key-value stores, Redis® open source supports advanced data structures such as sets, sorted sets, hashes, bitmaps, hyperlogs, and geospatial indexes. This variety allows developers to use Redis® open source for a wide range of applications, from simple caching to complex data aggregation and analytics tasks. With its modular architecture, Redis® open source can be easily extended through modules, adding new capabilities, and enhancing its functionality.

Replication and high availability

To ensure data availability and scalability, Redis® open source supports master-slave replication. With this feature, data can be mirrored across multiple Redis® open source servers, enabling a slave to take over if the master fails, with minimal disruption. Redis® open source Sentinel provides automated monitoring, notification, and failover support, boosting system resilience. Furthermore, Redis® open source Cluster allows for automatic data sharding and replication across multiple nodes, for efficient handling and scaling of larger datasets.

Client-server communication

Clients interact with the Redis® open source server using a simple TCP/IP protocol. Redis® open source processes commands sent by clients in a single-threaded event loop, ensuring atomic operations and consistent performance. The simplicity of this protocol, combined with the efficient handling of commands, contributes to  Redis® open source low overhead and high throughput.

Why use Redis® open source?

Redis® open source stands out due to its unequaled performance, versatility, and features that cater to a broad spectrum of data management needs. Here are some of the key benefits of using Redis® open source:

High performance and low latency

Redis® open source in-memory data store ensures unparalleled speed, delivering sub-millisecond response times for data access. This high performance makes it ideal for use cases that demand fast read/write operations, such as caching, session management, and real-time analytics, for a smooth and responsive application experience.

Rich data structures

Redis® open source supports a wide array of data structures, including sets, sorted sets, hashes, bitmaps, hyperlogs, geospatial indexes, and streams. This variety allows for more intricate data manipulation and storage patterns in Redis® open source, minimizing the need for extra processing in the application layer and making development simpler.

Scalability and high availability

Redis® open source provides various options for scaling and ensuring high availability. Thanks to the Redis® open source Cluster, data can be automatically divided and replicated across multiple nodes, enabling horizontal scaling and load balancing. Redis® open source Sentinel monitors instances and executes automatic failover, which ensures high availability and, as a result, service continuity.

Versatility and flexibility

The versatility of Redis® open source makes it suitable for a wide range of applications, from caching and messaging systems to queue management and leaderboards. Its support for various data structures and operations streamlines technology stacks and reduces operational complexity for developers.

Wide language support and community

Redis® open source has client libraries in almost every programming language, making it easy to use in any application ecosystem. Moreover, Redis® open source users benefit from an active community and extensive documentation, which offer support and contribute to a rich ecosystem of tools, extensions, and resources.

When to use Redis® open source

Redis® open source is a highly versatile tool that is well-suited for critical scenarios that need speed, scalability, and flexibility. Here are some scenarios where integrating Redis® open source can bring specific benefits to your architecture:

Caching

Redis® open source is commonly used as a caching layer. It is an excellent option for reducing load on your primary database or speeding up response times by storing frequently accessed data in memory. It’s particularly effective for caching web page content, API responses, and database query results.

Session store

Redis® open source fast in-memory read/write capabilities make it perfect for managing user sessions, especially in high-traffic environments. It supports efficient session management in web applications and services through its volatile data eviction policies and complex data type support.

Real-time analytics

Redis® open source in-memory data store provides the speed and flexibility required for applications that involve real-time data processing and analysis, like monitoring dashboards, financial transactions, or online gaming analytics.  Its data structures support efficient increment operations, sets, sorted sets, and more.

Message queuing and pub/sub messaging

Redis® open source supports high-performance message queuing and publish/subscribe messaging patterns, making it suitable for establishing communication between different parts of an application or system. This is valuable in workflows, task queues, and real-time chat applications.

Geospatial data

Redis® open source is a great choice for applications that need to store and retrieve data based on location, thanks to its geospatial capabilities. It has practical applications in location-based services, proximity searches, and geographic data analysis.

Rate limiting

Applying rate limiting to prevent abuse of APIs or services is straightforward with Redis® open source. Its atomic operations can be used to count requests per unit of time for a specific user or IP address, ensuring your application can smoothly handle sudden traffic spikes.

Full-Page Cache (FPC)

For dynamic websites with heavy traffic, using Redis® open source as a full-page cache can significantly reduce server load and improve page load times. It efficiently handles traffic spikes by quickly serving stored HTML pages.

When not to use Redis® open source

Despite its many benefits, Redis® open source might not be the most suitable option for scenarios requiring long-term storage of large datasets that exceed memory capacity or involve complex queries better suited for relational or document databases.

Use Redis® open source with OVHcloud

Discover how OVHcloud can revolutionize your Redis® open source database management, delivering scalability and unmatched performance for your applications. Our cloud solutions, built on AMD EPYC platforms, offer double the cores at the most competitive prices, so you can effortlessly deploy and scale your Redis® open source instances. 

Our commitment to an open, reversible, and reliable cloud means you can enjoy seamless interoperability and no hidden bandwidth costs, even during data recovery. Embrace the future of Redis® open source database management with OVHcloud’s secure, sustainable, and cost-efficient infrastructure, specifically designed to meet the dynamic needs of IT professionals like you. Together, we can make the cloud accessible and revolutionize how you store, access, and leverage your critical data.

*Redis is a registered trademark of Redis Ltd. Any rights therein are reserved to Redis Ltd. Any use by OVHcloud is for referential purposes only and does not indicate any sponsorship, endorsement or affiliation between Redis and OVHcloud.