Related Products
|
||||||
About
Valkey- and Redis OSS-compatible, durable, in-memory database service for ultra-fast performance. Scale to hundreds of millions of requests per second and over one hundred terabytes of storage per cluster. Stores data durably using a multi-AZ transaction log for 99.99% availability and near-instantaneous recovery without data loss. Secure your data with encryption at rest and in transit, private VPC endpoints, and multiple authentication mechanisms, including IAM authentication. Quickly build applications with Valkey and Redis OSS data structures and a rich open source API, and easily integrate with other AWS services. Deliver real-time personalized experiences with the highest relevancy and fastest semantic search experience among popular vector databases on AWS. Simplify application development and improve time-to-market with built-in access to flexible data structures that are available in Valkey and Redis OSS.
|
About
Vectorize is a platform designed to transform unstructured data into optimized vector search indexes, facilitating retrieval-augmented generation pipelines. It enables users to import documents or connect to external knowledge management systems, allowing Vectorize to extract natural language suitable for LLMs. The platform evaluates multiple chunking and embedding strategies in parallel, providing recommendations or allowing users to choose their preferred methods. Once a vector configuration is selected, Vectorize deploys it into a real-time vector pipeline that automatically updates with any data changes, ensuring accurate search results. The platform offers connectors to various knowledge repositories, collaboration platforms, and CRMs, enabling seamless integration of data into generative AI applications. Additionally, Vectorize supports the creation and updating of vector indexes in preferred vector databases.
|
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
Companies and professionals in search of a solution providing an in-memory database service to manage their data
|
Audience
Organizations searching for a solution to improve their AI capabilities by optimizing their vector search indexes
|
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
$0.2163 per hour
Free Version
Free Trial
|
Pricing
$0.57 per hour
Free Version
Free Trial
|
Pricing
Free
Free Version
Free Trial
|
||||
Reviews/
|
Reviews/
|
Reviews/
|
||||
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
Training
Documentation
Webinars
Live Online
In Person
|
||||
Company InformationAmazon
Founded: 1994
United States
aws.amazon.com/memorydb/
|
Company InformationVectorize
Founded: 2023
United States
vectorize.io
|
Company Informationdjango-mysql
United Kingdom
pypi.org/project/django-mysql/
|
||||
Alternatives |
Alternatives |
Alternatives |
||||
|
|
|
|||||
|
|
||||||
|
|
||||||
|
|
|
|||||
Categories |
Categories |
Categories |
||||
Integrations
Amazon S3
Amazon Web Services (AWS)
Azure Blob Storage
Confluence
Discord
Dropbox
Google Cloud Storage
Google Drive
Intercom
MariaDB
|
Integrations
Amazon S3
Amazon Web Services (AWS)
Azure Blob Storage
Confluence
Discord
Dropbox
Google Cloud Storage
Google Drive
Intercom
MariaDB
|
Integrations
Amazon S3
Amazon Web Services (AWS)
Azure Blob Storage
Confluence
Discord
Dropbox
Google Cloud Storage
Google Drive
Intercom
MariaDB
|
||||
|
|
|
|