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What is DataNumen SQL Recovery?

DataNumen SQL Recovery is recognized as the premier solution worldwide for restoring SQL server data. This tool is designed specifically to repair corrupt or damaged MDF database files, aiming to maximize data recovery and mitigate the effects of file corruption. Users can successfully retrieve a wide range of SQL components, including stored procedures, scalar functions, inline table-valued functions, and multistatement table-valued functions. Additionally, it adeptly recovers essential SQL database elements such as views, triggers, rules, and defaults. The software guarantees the restoration of both the database schema and the data within the tables. Furthermore, it possesses the ability to recover and decrypt encrypted objects in SQL Server databases, making it a thorough option for restoring data. With its robust recovery capabilities, DataNumen SQL Recovery proves to be an essential tool for database administrators contending with data loss issues, ensuring that they can maintain the integrity of their databases effectively. In a world where data integrity is crucial, this tool provides peace of mind for professionals managing sensitive information.

What is Azure Table Storage?

Leverage Azure Table storage for the efficient management of large volumes of semi-structured data while keeping costs low. Unlike other data storage options, whether they are hosted on-site or in the cloud, Table storage offers effortless scalability, eliminating the need for any manual dataset sharding. Additionally, worries about data availability are alleviated thanks to geo-redundant storage, which ensures that your information is duplicated three times within a single region and another three times in a distant region. This service is particularly beneficial for a variety of datasets, including user information from online platforms, contacts, device specifications, and assorted metadata, empowering you to develop cloud applications without being tied to rigid data schemas. Different rows can have unique structures within the same table—such as one row containing order information and another holding customer details—granting you the flexibility to modify your application and table schema without experiencing downtime. Furthermore, Azure Table storage maintains a strong consistency model, which guarantees dependable data access and integrity. This makes it an excellent option for enterprises aiming to effectively manage evolving data needs, while also providing the opportunity for seamless integration with other Azure services.

Media

Media

Integrations Supported

Auth.js
Autymate
DQ Studio
Data Sentinel
Microsoft Azure
NXLog
SQL Server
SSIS Integration Toolkit
StarfishETL

Integrations Supported

Auth.js
Autymate
DQ Studio
Data Sentinel
Microsoft Azure
NXLog
SQL Server
SSIS Integration Toolkit
StarfishETL

API Availability

Has API

API Availability

Has API

Pricing Information

$499.95 one-time payment
Free Trial Offered?
Free Version

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Supported Platforms

SaaS
Android
iPhone
iPad
Windows
Mac
On-Prem
Chromebook
Linux

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Training Options

Documentation Hub
Webinars
Online Training
On-Site Training

Company Facts

Organization Name

DataNumen

Date Founded

2001

Company Website

www.datanumen.com/sql-recovery/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/storage/tables/#features

Categories and Features

Data Recovery

Web Access / Restoration
Backup Log
Backup Scheduling
Compression
Continuous Backup
Encryption
Incremental Backup
Local Server Options
Multiple System Support
Remote Server Options
Secure Data Storage

Categories and Features

NoSQL Database

Auto-sharding
Automatic Database Replication
Data Model Flexibility
Deployment Flexibility
Dynamic Schemas
Integrated Caching
Multi-Model
Performance Management
Security Management

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