LanceDB vs Redis Vector Search

Compare deployment options, cost efficiency, and features to choose the right vector database for your application. If you want to compare these models on your data, try Agentset.

Database Comparison

LanceDB takes the lead.

Both LanceDB and Redis Vector Search are powerful vector databases designed for efficient similarity search and storage. However, their deployment options and features differ in important ways.

Why LanceDB:

  • LanceDB ranks higher overall
  • LanceDB is more cost-effective
  • LanceDB has more permissive licensing
  • LanceDB has 2 more strengths

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LanceDB

LanceDB is an open-source, AI-native multimodal lakehouse designed for billion-scale vector search. Built on the Lance columnar format, it combines embedded simplicity with cloud-scale performance. LanceDB's disk-based architecture with compute-storage separation enables up to 100x cost savings compared to memory-based solutions while supporting multimodal data (text, images, video, audio).

Deployment: Embedded/Local, Self-Hosted, Managed Cloud (LanceDB Cloud)
Cost: OSS: Free; Cloud: usage-based with $100 free credits; Enterprise: custom pricing
License: Apache 2.0
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Redis Vector Search

Redis provides vector similarity search through Redis Stack (RediSearch module), enabling low-latency semantic search and RAG applications. As an in-memory database, Redis excels at small-to-medium scale vector workloads requiring ultra-low latency. It integrates vector search with Redis's core data structures, making it ideal for real-time AI applications, semantic caching, and RAG systems.

Deployment: Self-Hosted (Redis Stack), Redis Enterprise, Redis Cloud
Cost: Redis Stack: Free (self-host); Cloud: starts $5/mo; Enterprise: shard-based pricing; Redis Flex: hybrid RAM+SSD
License: RSALv2 / SSPLv1 / AGPLv3
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Build RAG in Minutes, Not Months

Agentset gives you a complete RAG API with fully managed vector storage and retrieval. Upload your data, call the API, and get accurate results from day one.

import { Agentset } from "agentset";

const agentset = new Agentset();
const ns = agentset.namespace("ns_1234");

const results = await ns.search(
  "What is multi-head attention?"
);

for (const result of results) {
  console.log(result.text);
}

Feature Comparison

Infrastructure & Technical Details

FeatureLanceDBRedis Vector Search
DeploymentEmbedded/Local, Self-Hosted, Managed Cloud (LanceDB Cloud)Self-Hosted (Redis Stack), Redis Enterprise, Redis Cloud
CostOSS: Free; Cloud: usage-based with $100 free credits; Enterprise: custom pricingRedis Stack: Free (self-host); Cloud: starts $5/mo; Enterprise: shard-based pricing; Redis Flex: hybrid RAM+SSD
LicenseApache 2.0RSALv2 / SSPLv1 / AGPLv3
Index TypesIVF-PQ, IVF-HNSW-PQ, BTreeFLAT, HNSW
Cloud ProvidersAWS, Azure, GCP, Any (self-hosted)AWS, Azure, GCP
Regional Flexibilityhighhigh
Strengths1311
Weaknesses912