Pinecone vs Redis Vector Store

- ✦ Managed Vector Index
- ✦ Approximate Nearest Neighbor (ANN)
- ✦ Hybrid Search (Dense + Sparse)

- ✦ HNSW vector index
- ✦ FLAT (exact) vector index
- ✦ Hybrid search (vector + filter)
Pinecone and Redis Vector Store are both Vector Databases tools. Pinecone starts at $20/mo, Redis Vector Store at $200/mo. Compare features, pricing, and ratings below to find the best fit for your team.
When to Choose Pinecone vs Redis Vector Store
The question that matters: “In what situation will I regret choosing A over B after 3 months?”
Pinecone's HNSW-based index returns approximate nearest neighbor results for 1B+ vector collections at under 100ms p99 latency, serving production semantic search without managing index infrastructure.
Add vector search to an existing Redis deployment for product recommendations with sub-millisecond response times
Pinecone's hybrid search runs dense embedding search and sparse keyword search simultaneously, improving recall for domain-specific queries where pure semantic search misses exact-match technical terms.
Pinecone namespaces partition vector data per customer within a single index, enabling multi-tenant RAG applications without provisioning separate indexes for each customer.
Store conversation embeddings in Redis and retrieve semantically similar past interactions for context-aware chatbot responses
Compare transaction embeddings against known fraud patterns in real-time at low latency to flag suspicious activity during checkout
Combine Redis caching and vector search in one database, reducing infrastructure complexity for recommendation APIs
Pricing Comparison & PlansHigh· Verified Jul 8, 2026
Starter
FreeBest for: Trying out / small apps
- ✓Pinecone Database On-Demand
- ✓Pinecone Inference
- ✓Pinecone Assistant
- ✓Dense, Sparse, and Full-Text Indexes
- ✓Console Metrics
Builder
$20/moBest for: Solo devs and small teams
- ✓Everything in Starter
- ✓Increased usage limits
- ✓Choose your cloud and region
- ✓Multiple projects and users
- ✓Prometheus and Datadog monitoring
Redis Cloud Free
FreeBest for: Ideal for testing, development, and small projects to explore Redis capabilities without cost.
- ✓Learning and building test projects
- ✓Enough space to learn Redis concepts
- ✓Develop application prototypes
- ✓Cost-efficient for low-throughput scenarios
Redis Cloud Pro
$200/moBest for: Starting at $200/mo, this plan offers advanced features, high availability, and scalability for production-grade workloads.
- ✓Dedicated VPC infrastructure
- ✓Multi-AZ high availability (optional)
- ✓99.999% uptime SLA
- ✓Active-Active replication (CRDT-based multi-region writes across up to 10 regions)
- ✓Auto-tiering (automatic hot/cold data separation to SSD storage)
Redis Cloud Essentials 250 MB
Contact SalesBest for: Suitable for small-scale applications requiring dedicated resources and predictable performance
- ✓High availability
- ✓Daily backups
- ✓Instant backups
- ✓Suitable for bigger projects or production environments
- ✓Cost-efficient for low-throughput scenarios
Redis Cloud Essentials 1 GB
Contact SalesBest for: Good for growing applications needing more memory and dedicated resources
- ✓High availability
- ✓Daily backups
- ✓Instant backups
- ✓Suitable for bigger projects or production environments
- ✓Cost-efficient for low-throughput scenarios
Redis Cloud Essentials 2.5 GB
Contact SalesBest for: Designed for medium-sized applications with moderate data storage and performance requirements
- ✓High availability
- ✓Daily backups
- ✓Instant backups
- ✓Suitable for bigger projects or production environments
- ✓Cost-efficient for low-throughput scenarios
Redis Cloud Essentials 5 GB
Contact SalesBest for: A robust option for larger applications demanding significant memory and consistent performance
- ✓High availability
- ✓Daily backups
- ✓Instant backups
- ✓Suitable for bigger projects or production environments
- ✓Cost-efficient for low-throughput scenarios
Capability Breakdown
6 differences found across 14 standardized features
- •Managed Vector Index
- •Approximate Nearest Neighbor (ANN)
- •Hybrid Search (Dense + Sparse)
- •Metadata Filtering
- •Namespaces (multi-tenancy)
- •Real-time Upserts
- •Python / Node.js SDKs
- •REST API
- •LangChain & LlamaIndex Integration
- •Serverless Architecture
- •High Availability
- •Automated Scaling
- •Data Import from S3
- •Batch Upserts
- •Index Stats
- •Access Controls
- •HNSW vector index
- •FLAT (exact) vector index
- •Hybrid search (vector + filter)
- •In-memory storage
- •Sub-millisecond latency
- •Redis Cloud managed service
- •Python/Node.js/Java SDKs
- •LangChain/LlamaIndex integration
- •Horizontal scaling via Redis Cluster
- •RDB and AOF persistence
- •Multi-tenancy via keyspaces
- •REST API (Redis Cloud)
- •Vector distance metrics (L2, IP, Cosine)
- •Metadata filtering
Strengths & Limitations
Evaluative strengths and weaknesses: not feature lists
- +Easiest managed vector DB to get started with
- +Serverless: zero infrastructure management
- +Hybrid search improves RAG retrieval quality
- +Massive ecosystem integrations (LangChain, LlamaIndex)
- −One major issue I have noticed with Pinecone is that it does not allow me to search based on metadata.
- −From a cost perspective, I believe Pinecone is a bit expensive compared to other solutions such as FAISS and Milvus, which are fre
- −Pinecone is not open-source.
- −If Pinecone gave us RAG as a service, we'd be more than happy to use that.
- −I have not seen a specific outcome or metric of reduced costs since I started using Pinecone because it is very expensive compared
- +Sub-millisecond vector search latency for applications already using Redis
- +No new database to manage if Redis is already in your stack
- +HNSW index delivers high recall with low query latency at moderate scale
- −There are some points where I feel Redis can be improved.
- −There are a few areas where Redis could improve.
- −Redis could improve its efficiency in handling locally stored data, not just Amazon Cloud or Google Cloud.
- −Redis presents a single point of failure and lacks fault tolerance.
- −The product's main purpose is caching, even though the vendor says we can also use it as a persistent database.
At a Glance
Recent Price History
Pinecone removed the "Builder" plan
Plan removed · Jun 5, 2026
Pinecone removed the "Free" plan
Plan removed · Jun 5, 2026
Pinecone added a new "Dedicated" plan (Custom pricing)
Plan added · Jun 5, 2026
Pinecone added a new "Starter" plan at $0/mo (Free)
Plan added · Jun 5, 2026
Pinecone updated "Enterprise" from Custom to $500/mo
Price change · May 30, 2026
Redis Vector Store removed the "Redis Cloud Flexible / Enterprise" plan
Plan removed · May 30, 2026
Redis Vector Store added a new "Redis Cloud Essentials 250 MB" plan (Custom pricing)
Plan added · May 30, 2026
Redis Vector Store removed the "Redis Cloud Fixed" plan
Plan removed · May 30, 2026
Redis Vector Store added a new "Redis Cloud Essentials 12 GB" plan (Custom pricing)
Plan added · May 30, 2026
Redis Vector Store removed the "Redis Stack (Self-Hosted)" plan
Plan removed · May 30, 2026
Frequently Asked Questions
Related Comparisons
Sources & Data Trail · Pinecone
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-07-08)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.6/5 · 39 reviews
- 4.PeerSpot·PeerSpot enterprise peer reviews
Sources & Data Trail · Redis Vector Store
- 1.Official Pricing Page·Source of verified tiers(Checked: 2026-07-08)
- 2.Official Website·Official vendor website
- 3.G2·G2 verified reviews · 4.4/5
- 4.TrustRadius·TrustRadius verified reviews
- 5.PeerSpot·PeerSpot enterprise peer reviews
