SQL Server

SQL Server

Microsoft
+
+

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About

Create a bot with the ability to speak, listen, understand, and learn from your users with Azure Cognitive Services. Benefit from open source SDK and tools to build, test, and connect bots that interact naturally with users, wherever they are. Build secure, global, scalable solutions that integrate with your existing IT ecosystem. Create an AI experience that can extend your brand and keep you in control of your own data. Bot Framework Composer is an open source, visual authoring canvas for developers and multi-disciplinary teams to design and build conversational experiences. Azure Bot Service enables you to build intelligent, enterprise-grade bots with ownership and control of your data. Begin with a simple Q&A bot or build a sophisticated virtual assistant. Use comprehensive open source SDK and tools to easily connect your bot to popular channels and devices. Give your bot the ability to speak, listen, and understand your users with native integration to Azure Cognitive Services.

About

Intelligence and security are built into Microsoft SQL Server 2019. You get extras without extra cost, along with best-in-class performance and flexibility for your on-premises needs. Take advantage of the efficiency and agility of the cloud by easily migrating to the cloud without changing code. Unlock insights and make predictions faster with Azure. Develop using the technology of your choice, including open source, backed by Microsoft's innovations. Easily integrate data into your apps and use a rich set of cognitive services to build human-like intelligence across any scale of data. AI is native to the data platform—you can unlock insights faster from all your data, on-premises and in the cloud. Combine your unique enterprise data and the world's data to build an intelligence-driven organization. Work with a flexible data platform that gives you a consistent experience across platforms and gets your innovations to market faster—you can build your apps and then deploy anywhere.

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

Enterprises in search of a comprehensive framework for building enterprise-grade conversational AI experiences

Audience

Any business and organization seeking a solution to manage their cloud operations

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

$0.50 per 1,000 messages
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

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Reviews/Ratings

Overall 4.5 / 5
ease 4.5 / 5
features 4.5 / 5
design 5.0 / 5
support 4.5 / 5

Pros & Cons from Real Users

Pros

  • SQL server offers enough security to be able to perform reliable transactions, where you can work with all kinds of procedures previously saved for SQL. In terms of relational databases, SQL server allows the inclusion of relational data licenses within multidimensional groups, which at the level of analysis makes things much easier. Recommended because you can work with up to 6 different types of licenses, so the number of clients that can be added to the platform is huge depending on the size of the company. For example, the Enterprise plan is usually around 25,000, but offers a very large number of servers to work with.
  • The interoperability that Microsoft SQL server brings serves to create a complete network in which databases are properly secured and at the same time can be edited by specific employees. Microsoft SQL server provides the user with the possibility of transporting large amounts of data of different types through the cloud. Our professional recommendation is that, if you choose to work with Microsoft SQL server, you should purchase the standard version, since it has all the features of software such as MySQL and Sybase ASE in terms of support for procedures and work in server mode, which would be enough to obtain promising results.

Cons

  • When working with pages simultaneously, there is a limit on the number of connections that can be carried out, and it has many restrictions that end up affecting the page editing level. For example, the size of the pages is impossible to edit, which leads to a somewhat poor view of the page in terms of size (it looks very small), as well as remaining static.
  • The Microsoft SQL server platform does not support the ability to manage Canvas scripts directly from the development data lists being used (specifically HTML) so adding Canvas code to that language is useless if the content is to be transported through Microsoft SQL server. The variety of DDL commands that Microsoft SQL server allows to implement is a bit small, which ends up limiting the work to only using DML commands.

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Microsoft
United States
dev.botframework.com

Company Information

Microsoft
Founded: 1975
United States
www.microsoft.com/en-us/sql-server/

Alternatives

Alternatives

Meya

Meya

Meya.ai
Apache HBase

Apache HBase

The Apache Software Foundation
Azure Linux

Azure Linux

Microsoft
RaimaDB

RaimaDB

Raima

Categories

Categories

Business Intelligence Features

Ad Hoc Reports
Benchmarking
Budgeting & Forecasting
Dashboard
Data Analysis
Key Performance Indicators
Natural Language Generation (NLG)
Performance Metrics
Predictive Analytics
Profitability Analysis
Strategic Planning
Trend / Problem Indicators
Visual Analytics

Database Features

Backup and Recovery
Creation / Development
Data Migration
Data Replication
Data Search
Data Security
Database Conversion
Mobile Access
Monitoring
NOSQL
Performance Analysis
Queries
Relational Interface
Virtualization

Relational Database Features

ACID Compliance
Data Failure Recovery
Multi-Platform
Referential Integrity
SQL DDL Support
SQL DML Support
System Catalog
Unicode Support

SQL Server Features

CPU Monitoring
Credential Management
Database Servers
Deployment Testing
Docker Compatible Containers
Event Logs
History Tracking
Patch Management
Scheduling
Supports Database Clones
User Activity Monitoring
Virtual Machine Monitoring

Integrations

Pendula
BrightGauge
Central Sales Assistant
Clarity Security
DBConvert
Deloitte Cascade Suite
Dimension Labs
Elastic Observability
MX-AOPC UA Suite
Oracle Cloud Marketplace
SSIS Integration Toolkit
SoftAmbulance MS-SQL Recovery
Sweephy
Tintri IntelliFlash
Tweakstreet
Vaultspeed
VisuaLeaf
data.world
dbForge Data Generator for SQL Server

Integrations

Pendula
BrightGauge
Central Sales Assistant
Clarity Security
DBConvert
Deloitte Cascade Suite
Dimension Labs
Elastic Observability
MX-AOPC UA Suite
Oracle Cloud Marketplace
SSIS Integration Toolkit
SoftAmbulance MS-SQL Recovery
Sweephy
Tintri IntelliFlash
Tweakstreet
Vaultspeed
VisuaLeaf
data.world
dbForge Data Generator for SQL Server
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