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Description
Utilize Azure Table storage to manage petabytes of semi-structured data efficiently while keeping expenses low. In contrast to various data storage solutions, whether local or cloud-based, Table storage enables seamless scaling without the need for manual sharding of your dataset. Additionally, concerns about data availability are mitigated through the use of geo-redundant storage, which ensures that data is replicated three times within a single region and an extra three times in a distant region, enhancing data resilience. This storage option is particularly advantageous for accommodating flexible datasets—such as user data from web applications, address books, device details, and various other types of metadata—allowing you to develop cloud applications without restricting the data model to specific schemas. Each row in a single table can possess a unique structure, for instance, featuring order details in one entry and customer data in another, which grants you the flexibility to adapt your application and modify the table schema without requiring downtime. Furthermore, Table storage is designed with a robust consistency model to ensure reliable data access. Overall, it provides an adaptable and scalable solution for modern data management needs.
Description
Microsoft SQL Server 2019 incorporates both intelligence and security, providing users with added features at no additional cost while ensuring top-tier performance and adaptability for on-premises requirements. You can seamlessly transition to the cloud, taking full advantage of its efficiency and agility without the need to alter your existing code. By leveraging Azure, you can accelerate insight generation and predictive analytics. Development is flexible, allowing you to utilize your preferred technologies, including open-source options, supported by Microsoft's advancements. The platform enables easy data integration into your applications and offers a comprehensive suite of cognitive services that facilitate the creation of human-like intelligence, regardless of data volume. The integration of AI is intrinsic to the data platform, allowing for quicker insight extraction from both on-premises and cloud-stored data. By combining your unique enterprise data with global data, you can foster an organization that is driven by intelligence. The dynamic data platform provides a consistent user experience across various environments, expediting the time it takes to bring innovations to market; this allows you to develop your applications and deploy them in any environment you choose, enhancing overall operational efficiency.
API Access
Has API
No
API Access
Has API
No
Integrations
Autymate
Yes
DQ Studio
Yes
Data Sentinel
Yes
NXLog
Yes
SSIS Integration Toolkit
Yes
StarfishETL
Yes
AWS App Mesh
No
AWS Directory Service
No
Amazon Q
No
Aruba Cloud Monitoring
No
Integrations
Autymate
Yes
DQ Studio
Yes
Data Sentinel
Yes
NXLog
Yes
SSIS Integration Toolkit
Yes
StarfishETL
Yes
AWS App Mesh
Yes
AWS Directory Service
Yes
Amazon Q
Yes
Aruba Cloud Monitoring
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Pricing Details
Free
Free Trial
No
Free Version
Yes
Deployment
Web-Based
Yes
On-Premises
Yes
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
No
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
Yes
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
No
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
No
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
No
In Person
Yes
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
azure.microsoft.com/en-us/services/storage/tables/#features
Vendor Details
Company Name
Microsoft
Founded
1975
Country
United States
Website
www.microsoft.com/en-us/sql-server/
Product Features
NoSQL Database
Auto-sharding
No
Automatic Database Replication
No
Data Model Flexibility
No
Deployment Flexibility
No
Dynamic Schemas
No
Integrated Caching
No
Multi-Model
No
Performance Management
No
Security Management
No
Product Features
Business Intelligence
Ad Hoc Reports
Yes
Benchmarking
Yes
Budgeting & Forecasting
Yes
Dashboard
No
Data Analysis
Yes
Key Performance Indicators
No
Natural Language Generation (NLG)
No
Performance Metrics
Yes
Predictive Analytics
No
Profitability Analysis
No
Strategic Planning
No
Trend / Problem Indicators
No
Visual Analytics
No
Database
Backup and Recovery
Yes
Creation / Development
Yes
Data Migration
No
Data Replication
No
Data Search
No
Data Security
Yes
Database Conversion
No
Mobile Access
Yes
Monitoring
No
NOSQL
Yes
Performance Analysis
No
Queries
No
Relational Interface
No
Virtualization
No
Relational Database
ACID Compliance
Yes
Data Failure Recovery
Yes
Multi-Platform
Yes
Referential Integrity
Yes
SQL DDL Support
Yes
SQL DML Support
Yes
System Catalog
Yes
Unicode Support
Yes
SQL Server
CPU Monitoring
Yes
Credential Management
Yes
Database Servers
Yes
Deployment Testing
Yes
Docker Compatible Containers
Yes
Event Logs
Yes
History Tracking
Yes
Patch Management
Yes
Scheduling
Yes
Supports Database Clones
Yes
User Activity Monitoring
Yes
Virtual Machine Monitoring
Yes
