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About

LanceDB is a developer-friendly, open source database for AI. From hyperscalable vector search and advanced retrieval for RAG to streaming training data and interactive exploration of large-scale AI datasets, LanceDB is the best foundation for your AI application. Installs in seconds and fits seamlessly into your existing data and AI toolchain. An embedded database (think SQLite or DuckDB) with native object storage integration, LanceDB can be deployed anywhere and easily scales to zero when not in use. From rapid prototyping to hyper-scale production, LanceDB delivers blazing-fast performance for search, analytics, and training for multimodal AI data. Leading AI companies have indexed billions of vectors and petabytes of text, images, and videos, at a fraction of the cost of other vector databases. More than just embedding. Filter, select, and stream training data directly from object storage to keep GPU utilization high.

About

Enjoy the highest performance and unlimited possibilities when working with SQLite. SQLite Data Access Components (LiteDAC) is a library of components that provides native connectivity to SQLite from Delphi and C++Builder including Community Edition, as well as Lazarus (and Free Pascal) on Windows, Linux, macOS, iOS, and Android for both 32-bit and 64-bit platforms. LiteDAC is designed for programmers to develop truly cross-platform desktop and mobile SQLite database applications with no need to deploy any additional libraries. LiteDAC-based DB applications are easy to deploy and do not require the installation of other data provider layers (such as BDE or ODBC), and that's why they can work faster than the ones based on standard Delphi data connectivity solutions. Moreover, LiteDAC provides an additional opportunity to work with SQLite in Delphi and C++Builder directly by linking the client library statically in your application.

About

Django-MySQL extends Django’s built-in MySQL and MariaDB support their specific features not available on other databases. A new cache backend that makes use of MySQL’s upsert statement and does compression. Named locks for easy locking of e.g. external resources. Extra checks added to Django’s check framework to ensure your Django and MySQL configurations are optimal. Django-MySQL comes with a number of extensions to QuerySet that can be installed in a number of ways - e.g. adding the QuerySetMixin to your existing QuerySet subclass.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers in need of a tool to train data and manage their large scale AI datasets

Audience

Developer teams and anyone seeking a solution providing a library of components to build cross-platform databases

Audience

Component Library solution for developers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Screenshots and Videos

Pricing

$16.03 per month
Free Version
Free Trial

Pricing

$169.95 per year
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

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

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
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

LanceDB
United States
lancedb.com

Company Information

Devart
Founded: 1997
Czech Republic
www.devart.com/litedac/

Company Information

django-mysql
United Kingdom
pypi.org/project/django-mysql/

Alternatives

Milvus

Milvus

Zilliz

Alternatives

Alternatives

Categories

Categories

Categories

Integrations

Amazon S3
Azure Blob Storage
C++Builder
Cognee
Databricks Data Intelligence Platform
DuckDB
FreeBSD
Google Cloud Storage
Hex
JavaScript
LLMWare.ai
MySQL
Python
Ray
Rust
Spark
TypeScript
Unity Catalog
Vercel
pandas

Integrations

Amazon S3
Azure Blob Storage
C++Builder
Cognee
Databricks Data Intelligence Platform
DuckDB
FreeBSD
Google Cloud Storage
Hex
JavaScript
LLMWare.ai
MySQL
Python
Ray
Rust
Spark
TypeScript
Unity Catalog
Vercel
pandas

Integrations

Amazon S3
Azure Blob Storage
C++Builder
Cognee
Databricks Data Intelligence Platform
DuckDB
FreeBSD
Google Cloud Storage
Hex
JavaScript
LLMWare.ai
MySQL
Python
Ray
Rust
Spark
TypeScript
Unity Catalog
Vercel
pandas
Claim LanceDB and update features and information
Claim LanceDB and update features and information
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