Embeddinghub

Embeddinghub

Featureform
+
+

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About

ArcadeDB is an open-source, next-generation multi-model database. Forget Polyglot Persistence — store graphs, documents, key-value pairs, search engine indexes, vectors, and time-series data all in one database with native support for every model. No translation layers, no performance penalties. Process over 10 million records per second. Traversal speed stays constant whether your database has hundreds or billions of records. Query in the language you prefer: SQL, Cypher, Gremlin, GraphQL, MongoDB API, or Java. Deploy ArcadeDB embedded in your JVM application, on a standalone server, or distributed across multiple nodes with Raft Consensus for high availability. Fully ACID-compliant. Super lightweight. Apache 2.0 licensed — free for production and commercial use.

About

Operationalize your embeddings with one simple tool. Experience a comprehensive database designed to provide embedding functionality that, until now, required multiple platforms. Elevate your machine learning quickly and painlessly through Embeddinghub. Embeddings are dense, numerical representations of real-world objects and relationships, expressed as vectors. They are often created by first defining a supervised machine learning problem, known as a "surrogate problem." Embeddings intend to capture the semantics of the inputs they were derived from, subsequently getting shared and reused for improved learning across machine learning models. Embeddinghub lets you achieve this in a streamlined, intuitive way.

Platforms Supported

Windows Supported
Mac Supported
Linux Supported
Cloud Not Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Platforms Supported

Windows Not Supported
Mac Not Supported
Linux Not Supported
Cloud Supported
On-Premises Supported
iPhone Not Supported
iPad Not Supported
Android Not Supported
Chromebook Not Supported

Audience

Professional developers seeking a tool to manage complex models and store graphs, documents, key values, and time series

Audience

Machine learning developers interested in a powerful vector/embeddings database

Support

Phone Support Not Supported
24/7 Live Support Supported
Online Supported

Support

Phone Support Not Supported
24/7 Live Support Not Supported
Online Not Supported

API

Offers API Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

Free
Free Version Supported
Free Trial Not Supported

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Training

Documentation Supported
Webinars Not Supported
Live Online Not Supported
In Person Not Supported

Company Information

ArcadeDB
Founded: 2017
United Kingdom
arcadedb.com

Company Information

Featureform
Founded: 2019
United States
www.featureform.com/embeddinghub

Alternatives

Alternatives

Apache TinkerPop

Apache TinkerPop

Apache Software Foundation
RaimaDB

RaimaDB

Raima
txtai

txtai

NeuML

Categories

Categories

Embedded Database Supported
Vector Databases Supported

Integrations

Docker Supported
G.V() Gremlin IDE Supported
Java Supported
Kubernetes Supported
MongoDB Supported
Neo4j Supported
OrientDB Supported
PostgreSQL Supported
Redis Supported

Integrations

Docker Not Supported
G.V() Gremlin IDE Not Supported
Java Not Supported
Kubernetes Not Supported
MongoDB Not Supported
Neo4j Not Supported
OrientDB Not Supported
PostgreSQL Not Supported
Redis Not Supported
Claim ArcadeDB and update features and information
Claim ArcadeDB and update features and information
Claim Embeddinghub and update features and information
Claim Embeddinghub and update features and information