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Redis ™ VS RisingWave

Compare Redis VS RisingWave and see what are their differences

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Contents:
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  2. » Videos
  3. » Reviews
  4. » Alternatives

Redis logo Redis

Redis is an open source in-memory data structure project implementing a distributed, in-memory key-value database with optional durability.

RisingWave logo RisingWave

RisingWave is a stream processing platform that utilizes SQL to enhance data analysis, offering improved insights on real-time data.
  • 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.

  • RisingWave Landing page
    Landing page //
    2023-08-29

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.

RisingWave features and specs

No features have been listed yet.

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

RisingWave videos

+ Add

RisingWave: Reinventing(?!) Stream Processing in the Cloud Era (Yingjun Wu)

More videos:

  • Review - Building Cost Effective Stream Processing Applications with RisingWave and Pulsar
  • Review - RISINGWAVE REBOOT

Category Popularity

0-100% (relative to Redis and RisingWave)

Redis

RisingWave

Databases
96 96%
Databases
4% 4
NoSQL Databases
100 100%
NoSQL Databases
0% 0
Stream Processing
0 0%
Stream Processing
100% 100
Key-Value Database
100 100%
Key-Value Database
0% 0

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 RisingWave

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

RisingWave Reviews

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

Social recommendations and mentions

Based on our record, Redis seems to be a lot more popular than RisingWave. While we know about 217 links to Redis, we've tracked only 13 mentions of RisingWave. 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 (217)

  • 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 / 5 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 / 19 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 / 19 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
  • 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
View more

RisingWave mentions (13)

  • Every Database Will Support Iceberg — Here's Why
    RisingWave started as a distributed streaming database with a PostgreSQL interface. We wanted to make it easy to process real-time data using standard SQL. But we quickly realized that many teams don’t just want to process streaming data — they want to store it in a way that’s reusable by other tools downstream. - Source: dev.to / 28 days ago
  • Be Water, Ride the Wave: What Time Taught Me About Building Infra
    This month (April 2025) marks 4 years and 1 month since I started building RisingWave. - Source: dev.to / 30 days ago
  • RisingWave Turns Four: Our Journey Beyond Democratizing Stream Processing
    When we started RisingWave four years ago, we set out with a bold mission: to democratize stream processing (check our original blog here). Back then, building real-time streaming applications felt like climbing a mountain. It required specialized infrastructure, deep engineering know-how, and a hefty operational commitment. Stream processing had incredible potential, but its sheer complexity kept it locked away... - Source: dev.to / about 1 month ago
  • Detect Spoofing in Real Time Using Just SQL and Open-Source Tools
    RisingWave is a unified real-time data processing and management platform. It allows users to ingest, process, and query streaming data using familiar SQL. For this demonstration, we'll particularly leverage RisingWave's materialized views, which continuously and incrementally compute results as new data arrives, enabling real-time analysis without constant re-computation. Additionally, its Python SDK simplifies... - Source: dev.to / about 1 month ago
  • How to Pitch Your Boss to Adopt Apache Iceberg?
    Real-time pipelines might need RisingWave or Apache Kafka. - Source: dev.to / about 1 month ago
View more

What are some alternatives?

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

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

Materialize - A Streaming Database for Real-Time Applications

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

Timeplus - An innovative streaming SQL database and real-time analytics platform. Fast, powerful and intuitive

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

Apache Flink - Flink is a streaming dataflow engine that provides data distribution, communication, and fault tolerance for distributed computations.

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