Redis ™ VS Qdrant

Compare Redis VS Qdrant and see what are their differences

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Redis

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

Qdrant

Qdrant is a high-performance, massive-scale Vector Database for the next generation of AI. Also available in the cloud https://cloud.qdrant.io/

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.

Landing page //
2023-12-20

Qdrant is a leading open-source high-performance Vector Database written in Rust with extended metadata filtering support and advanced features. It deploys as an API service providing a search for the nearest high-dimensional vectors. With Qdrant, embeddings or neural network encoders can be turned into full-fledged applications. Powering vector similarity search solutions of any scale due to a flexible architecture and low-level optimization. Qdrant is trusted and high-rated by Machine Learning and Data Science teams of top-tier companies worldwide.

Redis

Website: redis.io
Pricing URL: -
$ Details
Platforms: -
Release Date: -

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Qdrant

Website: qdrant.tech
Pricing URL: Official Qdrant Pricing
$ Details: freemium
Platforms: Linux Windows Kubernetes Docker
Release Date: 2021 May

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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.

Qdrant features and specs

Advanced Filtering
On-disc Storage
Scalar Quantization
Product Quantization
Binary Quantization
Sparse Vectors
Hybrid Search
Discovery API
Recommendation API

Redis videos

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Qdrant videos

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Category Popularity

0-100% (relative to Redis and Qdrant)

Redis

Qdrant

Databases

88 88%

Databases

12% 12

NoSQL Databases

100 100%

NoSQL Databases

0% 0

Search Engine

0 0%

Search Engine

100% 100

Key-Value Database

100 100%

Key-Value Database

0% 0

Questions and Answers

As answered by people managing Redis and Qdrant.

Why should a person choose your product over its competitors?

Qdrant's answer:

Advanced Features, Performance, Scalability, Developer Experience, and Resources Saving.

What makes your product unique?

Qdrant's answer:

Highest performance https://qdrant.tech/benchmarks/, scalability and ease of use.

Which are the primary technologies used for building your product?

Qdrant's answer:

Qdrant is written completely in Rust. SDKs available for all popular languages Python, Go, Rust, Java, .NET, etc.

User comments

Share your experience with using Redis and Qdrant. For example, how are they different and which one is better?

Reviews

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

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

Qdrant Reviews

We have no reviews of Qdrant yet.
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Social recommendations and mentions

Based on our record, Redis should be more popular than Qdrant. It has been mentiond 218 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 (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 / 4 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 / 10 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 / 23 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 / 23 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

Qdrant mentions (57)

10 open-source MCPs that make your AI agents smarter than your team lead
Qdrant — open-source and super developer-friendly. - Source: dev.to / 16 days ago
Build Code-RAGent, an agent for your codebase
The only thing left to do then was to build something that could showcase the power of code ingestion within a vector database, and it immediately clicked in my mind: "Why don't I ingest my entire codebase of solved Go exercises from Exercism?" That's how I created Code-RAGent, your friendly coding assistant based on your personal codebases and grounded in web search. It is built on top of GPT-4.1, powered by... - Source: dev.to / 25 days ago
Ingest (almost) any non-PDF document in a vector database, effortlessly
Qdrant is an easy-to-set-up, highly performing and scalable vector database, that offers numerous functionalities (among which hybrid search and metadata filtering). - Source: dev.to / 29 days ago
Why You Shouldn’t Invest In Vector Databases?
In cases where a company possesses a strong technological foundation and faces a substantial workload demanding advanced vector search capabilities, its ideal solution lies in adopting a specialized vector database. Prominent options in this domain include Chroma (having raised $20 million), Zilliz (having raised $113 million), Pinecone (having raised $138 million), Qdrant (having raised $9.8 million), Weaviate... - Source: dev.to / about 1 month ago
Preview 2 of .NET AI Chat Web App Template Now Available
/filters:no_upscale()/news/2025/04/microsoft-dotnet-ai-template-p2/en/resources/1use-aspire-orchestration-1745167526397.png) A notable addition in Preview 2 is the support for .NET Aspire, enhancing the development toolkit with advanced AI capabilities. The Qdrant vector database can be utilized alongside .NET Aspire to create scalable applications. The template continues to utilize the Retrieval Augmented... - Source: dev.to / about 1 month ago

What are some alternatives?

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

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

Milvus - Vector database built for scalable similarity search Open-source, highly scalable, and blazing fast.

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

Vespa.ai - Store, search, rank and organize big data

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

Weaviate - Welcome to Weaviate

Apache Cassandra vs Redis

Apache Cassandra vs Qdrant

Weaviate vs Redis