Embeddinghub

Embeddinghub

Featureform
+
+

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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.

About

Welcome to H2, the Java SQL database. In embedded mode, an application opens a database from within the same JVM using JDBC. This is the fastest and easiest connection mode. The disadvantage is that a database may only be open in one virtual machine (and class loader) at any time. As in all modes, both persistent and in-memory databases are supported. There is no limit on the number of database open concurrently, or on the number of open connections. The mixed mode is a combination of the embedded and the server mode. The first application that connects to a database does that in embedded mode, but also starts a server so that other applications (running in different processes or virtual machines) can concurrently access the same data. The local connections are as fast as if the database is used in just the embedded mode, while the remote connections are a bit slower.

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

Platforms Supported

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

Audience

Machine learning developers interested in a powerful vector/embeddings database

Audience

Database management solution for businesses

Support

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

Support

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

API

Offers API Not Supported

API

Offers API Not Supported

Screenshots and Videos

Screenshots and Videos

Pricing

Free
Free Version Supported
Free Trial Not Supported

Pricing

No information available.
Free Version Not 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

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

Company Information

H2
www.h2database.com/html/main.html

Alternatives

Alternatives

RaimaDB

RaimaDB

Raima
Empress RDBMS

Empress RDBMS

Empress Software
txtai

txtai

NeuML
eXtremeDB

eXtremeDB

McObject

Categories

Embedded Database Supported
Vector Databases Supported

Categories

Integrations

Airtool Not Supported
Chat2DB Not Supported
DOT Anonymizer Not Supported
DataGrip Not Supported
DbVisualizer Not Supported
DigDash Not Supported
Metabase Not Supported
New Relic Not Supported
RazorSQL Not Supported
SQLife Not Supported

Integrations

Airtool Supported
Chat2DB Supported
DOT Anonymizer Supported
DataGrip Supported
DbVisualizer Supported
DigDash Supported
Metabase Supported
New Relic Supported
RazorSQL Supported
SQLife Supported
Claim Embeddinghub and update features and information
Claim Embeddinghub and update features and information
Claim H2 and update features and information
Claim H2 and update features and information