About
Part of the Azure SQL family, Azure SQL Database is the intelligent, scalable, relational database service built for the cloud. It’s evergreen and always up to date, with AI-powered and automated features that optimize performance and durability for you. Serverless compute and Hyperscale storage options automatically scale resources on demand, so you can focus on building new applications without worrying about storage size or resource management. Eliminate the complexity of configuring and managing high availability, tuning, backups and other database tasks with a fully managed SQL database. Accelerate your application development on the only cloud with evergreen SQL using the latest SQL Server capabilities, and never worry about updates, upgrades, or end of support again. Build modern apps your way with provisioned and serverless compute options.
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About
The most innovative cloud database service on the market, with unmatched data distribution and mobility across AWS, Azure, and Google Cloud, built-in automation for resource and workload optimization, and so much more. MongoDB Atlas is the global cloud database service for modern applications. Deploy fully managed MongoDB across AWS, Google Cloud, and Azure with best-in-class automation and proven practices that guarantee availability, scalability, and compliance with the most demanding data security and privacy standards. The best way to deploy, run, and scale MongoDB in the cloud. MongoDB Atlas offers built-in security controls for all your data. Enable enterprise-grade features to integrate with your existing security protocols and compliance standards. With MongoDB Atlas, your data is protected with preconfigured security features for authentication, authorization, encryption, and more.
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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.
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About
dbForge Query Builder for SQL Server is a professional tool for designing complex SQL queries in a visual mode using query diagrams and drag-and-drop capabilities. The tool enables SQL developers to quickly and accurately create sophisticated queries without manual code typing, including queries with numerous subqueries.
Key Features:
- SQL statement builder executes created queries and edits tables data
- Accelerate routine tasks with integrated AI Assistant
- Construct data manipulation queries without manual coding
- Auto Join of columns by primary/foreign key or name
- Combine a few queries to a sub-query via visual SQL editor
- Sort and filter data based on a custom complex criteria
- Reverse engineer queries it into a visual representation
- Use visual SQL query builder to profile designed queries
dbForge Query Builder for SQL Server significantly reduces the need for manual code ty
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
|
Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Platforms Supported
Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook
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Audience
Scalable cloud database for anyone
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Audience
Developers, data engineers, and organizations looking for a fully managed, cloud-based database solution to build scalable, secure, and high-performance applications
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Audience
Organizations searching for a solution to improve their AI capabilities by optimizing their vector search indexes
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Audience
Database developers and administrators
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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Support
Phone Support
24/7 Live Support
Online
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API
Offers API
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API
Offers API
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API
Offers API
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API
Offers API
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Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
Screenshots and Videos |
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Pricing
$0.5218 per vCore-hour
Free Version
Free Trial
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Pricing
$0.08/hour
Free Version
Free Trial
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Pricing
$0.57 per hour
Free Version
Free Trial
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Pricing
$129.95
Free Version
Free Trial
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Reviews/
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Reviews/
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Reviews/
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Reviews/
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Training
Documentation
Webinars
Live Online
In Person
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Company InformationMicrosoft
Founded: 1975
United States
azure.microsoft.com/en-us/services/sql-database/
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Company InformationMongoDB
Founded: 2007
United States
www.mongodb.com/atlas
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Company InformationVectorize
Founded: 2023
United States
vectorize.io
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Company InformationDevart
Founded: 1997
United States of America
www.devart.com
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Alternatives |
Alternatives |
Alternatives |
Alternatives |
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Categories |
Categories |
Categories |
Categories |
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Integrations
Apono
Appsmith
Azure Blockchain Workbench
DB PowerStudio
DbSchema
FactoryTalk Edge Gateway
Forest Admin
Google Drive
JackDB
LINQPad
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Integrations
Apono
Appsmith
Azure Blockchain Workbench
DB PowerStudio
DbSchema
FactoryTalk Edge Gateway
Forest Admin
Google Drive
JackDB
LINQPad
|
Integrations
Apono
Appsmith
Azure Blockchain Workbench
DB PowerStudio
DbSchema
FactoryTalk Edge Gateway
Forest Admin
Google Drive
JackDB
LINQPad
|
Integrations
Apono
Appsmith
Azure Blockchain Workbench
DB PowerStudio
DbSchema
FactoryTalk Edge Gateway
Forest Admin
Google Drive
JackDB
LINQPad
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