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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

ArcadeDB is a high-performance, open-source multi-model database that unifies graphs, documents, key-value, search engine, vectors, and time-series data in a single engine. Each model is native — no translation overhead, no external adapters. Built for developers who refuse to compromise: 10M+ records/second, constant graph traversal speed regardless of size, and 6 query languages out of the box — SQL, Cypher (native OpenCypher engine,TCK-compliant), Gremlin, GraphQL, MongoDB API, and Java. Runs embedded in your JVM, standalone, or distributed across an HA cluster using Raft Consensus. ACID-compliant, fully transactional, and extremely lightweight. Stop running five separate databases for five data models. One database. Every model. Apache 2.0 — open source forever.

Description

LanceDB is an accessible, open-source database specifically designed for AI development. It offers features such as hyperscalable vector search and sophisticated retrieval capabilities for Retrieval-Augmented Generation (RAG), along with support for streaming training data and the interactive analysis of extensive AI datasets, making it an ideal foundation for AI applications. The installation process takes only seconds, and it integrates effortlessly into your current data and AI toolchain. As an embedded database—similar to SQLite or DuckDB—LanceDB supports native object storage integration, allowing it to be deployed in various environments and efficiently scale to zero when inactive. Whether for quick prototyping or large-scale production, LanceDB provides exceptional speed for search, analytics, and training involving multimodal AI data. Notably, prominent AI companies have indexed vast numbers of vectors and extensive volumes of text, images, and videos at a significantly lower cost compared to other vector databases. Beyond mere embedding, it allows for filtering, selection, and streaming of training data directly from object storage, thereby ensuring optimal GPU utilization for enhanced performance. This versatility makes LanceDB a powerful tool in the evolving landscape of artificial intelligence.

API Access

Has API Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Azure Blob Storage No 
Character.AI No 
Cognee No 
G.V() Gremlin IDE Yes 
Google Cloud Storage No 
Hex No 
IBM watsonx.data No 
JavaScript No 
LLMWare.ai No 
Midjourney No 
MongoDB Yes 
Neo4j Yes 
Python No 
Ray No 
Rust No 
SQLite No 
Spark No 
TypeScript No 
Vercel No 
pandas No 

Integrations

Azure Blob Storage Yes 
Character.AI Yes 
Cognee Yes 
G.V() Gremlin IDE No 
Google Cloud Storage Yes 
Hex Yes 
IBM watsonx.data Yes 
JavaScript Yes 
LLMWare.ai Yes 
Midjourney Yes 
MongoDB No 
Neo4j No 
Python Yes 
Ray Yes 
Rust Yes 
SQLite Yes 
Spark Yes 
TypeScript Yes 
Vercel Yes 
pandas Yes 

Pricing Details

Free
Free Trial No 
Free Version Yes 

Pricing Details

$16.03 per month
Free Trial No 
Free Version Yes 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

ArcadeDB

Founded

2017

Country

United Kingdom

Website

arcadedb.com

Vendor Details

Company Name

LanceDB

Country

United States

Website

lancedb.com

Product Features

Database

Backup and Recovery No 
Creation / Development No 
Data Migration No 
Data Replication No 
Data Search No 
Data Security No 
Database Conversion No 
Mobile Access No 
Monitoring No 
NOSQL No 
Performance Analysis No 
Queries No 
Relational Interface No 
Virtualization No 

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