Redis alternatives: top competitors compared
Named alongside Redis
PineconeBest forProduction AI applications, from solo developers and small teams to mission-critical enterprise deployments86% of Redis answersQdrantBest forDevelopers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed79% of Redis answersWeaviateBest forDevelopment teams and enterprises building search, RAG and agent applications who want an open-source, production-ready vector database.79% of Redis answersMongoDB AtlasBest forDevelopment teams building AI applications and agents that need operational data, vectors and search in one platform79% of Redis answers
Data from SlateIndex weekly runs
Redis has a visibility score of 7.7 in Vector Databases, #10 of 30. AI answers that name Redis most often also name these 4.
Quick reference
| Alternative | Best for | Starting price | Visibility | Key differentiator |
|---|---|---|---|---|
| Pinecone | Production AI applications, from solo developers and small teams to mission-critical enterprise deployments | Free; paid from $20 / mo | 71.8% | Fully managed vector database with automatic indexing and no tuning required, plus Nexus for compiled, governed knowledge |
| Qdrant | Developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed | Contact sales | 60.5% | Filters are applied during HNSW graph traversal rather than before or after the search, keeping recall high with low latency under complex filter conditions |
| Weaviate | Development teams and enterprises building search, RAG and agent applications who want an open-source, production-ready vector database. | Free; paid from $45 / mo | 45.2% | An open-source platform that combines vector search, built-in embeddings and a natural-language query agent in one database, deployable anywhere. |
| MongoDB Atlas | Development teams building AI applications and agents that need operational data, vectors and search in one platform | Free; paid from $0.011 / mo | 12.7% | Operational data, vectors, search and stream processing in a single document database platform with one query API |
Alternative 1
Pinecone vs Redis →Pinecone
Pinecone suits production AI applications, from solo developers and small teams to mission-critical enterprise deployments.
Quick facts
- Free; paid from $20 / mo · usage-based
- Free plan available
- 71.8% visibility score · #1 in Vector Databases
Key features
- Pinecone Database — Serverless, object storage-based vector database
- Pinecone Nexus — Compiles enterprise data into governed knowledge that agents query in one call
- Pinecone Dedicated Read Nodes — Dedicated, provisioned vector database read nodes
- Pinecone Assistant — Builds production-grade agent-based apps
Pinecone vs Redis
| Dimension | Pinecone | Redis |
|---|---|---|
| Visibility score | 71.8% | 7.7% |
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $20 / mo | Free; paid from $0.007 / mo |
| Free plan | Yes | Yes |
| Trial | Free plan available | Free plan available |
Pros
- Zero-ops, fully managed cloud service
- Easiest managed option to start with
- Enterprise-grade reliability and scalability
- Free tier and trial credits for testing
- Most-used and widely adopted vector database
Cons
- Monthly minimum charges on paid tiers
- Free tier limits the number of vectors
- Concern about vendor lock-in
Alternative 2
Qdrant vs Redis →Qdrant
Qdrant suits developers and teams building RAG, semantic search and recommendation systems that need hybrid search and metadata filtering, either self-hosted or managed.
Quick facts
- Contact sales · usage-based
- Free plan available
- 60.5% visibility score · #2 in Vector Databases
Key features
- Qdrant Vector Search Engine — Open-source vector search engine written in Rust, available for self-hosting.
- Qdrant Managed Cloud — Fully managed Qdrant clusters on AWS, GCP or Azure with auto-sharding and high availability.
- Qdrant Hybrid Cloud — Managed Qdrant clusters run on the customer's own Kubernetes infrastructure, with decoupled control and data planes.
- Qdrant Edge (Beta) — Lightweight, low-latency vector search close to where data is generated.
Qdrant vs Redis
| Dimension | Qdrant | Redis |
|---|---|---|
| Visibility score | 60.5% | 7.7% |
| Pricing model | Usage-based | Usage-based |
| Entry price | Contact sales | Free; paid from $0.007 / mo |
| Free plan | Yes | Yes |
| Trial | Free plan available | Free plan available |
Pros
- High performance and memory efficiency, written in Rust
- Strong metadata and complex payload filtering
- Free tier for prototyping and testing
- Open-source option with flexible self-hosting
- Strong default choice for startups and production RAG
Cons
Alternative 3
Weaviate vs Redis →Weaviate
Weaviate suits development teams and enterprises building search, RAG and agent applications who want an open-source, production-ready vector database..
Quick facts
- Free; paid from $45 / mo · usage-based
- Free plan available
- 45.2% visibility score · #4 in Vector Databases
Key features
- Weaviate open-source AI database — Vector database for storing, indexing and searching vectors, self-hosted or managed.
- Weaviate Shared Cloud — Fully managed AI database in Weaviate Cloud on shared infrastructure.
- Weaviate Dedicated Cloud — Fully managed AI database on a dedicated instance in Weaviate Cloud.
- Query Agent — Turns natural-language questions into database queries, with source citations.
Weaviate vs Redis
| Dimension | Weaviate | Redis |
|---|---|---|
| Visibility score | 45.2% | 7.7% |
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $45 / mo | Free; paid from $0.007 / mo |
| Free plan | Yes | Yes |
| Trial | Free plan available | Free plan available |
Pros
- Strong native hybrid search
- Open-source and modular AI-native design
- Free tier or trial to start
- Flexible indexing and configurable managed service
- Published pricing with an annual-commitment option
Cons
- Monthly minimum charges
- Higher tiers priced steeply above entry plan
Alternative 4
MongoDB Atlas vs Redis →MongoDB Atlas
MongoDB Atlas suits development teams building AI applications and agents that need operational data, vectors and search in one platform.
Quick facts
- Free; paid from $0.011 / mo · usage-based
- Free plan available
- 12.7% visibility score · #8 in Vector Databases
- 100+ native integrations
Key features
- MongoDB Database — Transactional document database on a flexible, multi-cloud platform.
- Atlas Search — Relevance-based search added to application data.
- Atlas Vector Search — Finds semantically similar content in your data.
- Atlas Agent Engine — Builds, deploys and governs AI agents in production, currently in public preview.
MongoDB Atlas vs Redis
| Dimension | MongoDB Atlas | Redis |
|---|---|---|
| Visibility score | 12.7% | 7.7% |
| Pricing model | Usage-based | Usage-based |
| Entry price | Free; paid from $0.011 / mo | Free; paid from $0.007 / mo |
| Free plan | Yes | Yes |
| Trial | Free plan available | Free plan available |
Pros
- stores documents and vector embeddings together in one system
- good fit for teams already using MongoDB
- built-in vector search without extra infrastructure
- vector search included in Atlas pricing with a free M0 tier
- integration with Databricks Lakebase
Cons
How to choose
Match the pricing model to your cost driver: headcount, usage or features.
| Platform | Pricing model | Starting price |
|---|---|---|
| Redis | Usage-based | Free; paid from $0.007 / mo |
| Pinecone | Usage-based | Free; paid from $20 / mo |
| Qdrant | Usage-based | Contact sales |
| Weaviate | Usage-based | Free; paid from $45 / mo |
| MongoDB Atlas | Usage-based | Free; paid from $0.011 / mo |
More alternatives
Ranked by how often AI answers name them alongside Redis in the latest weekly run.