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What is Cloud Storage Manager?
The demand for Azure storage is escalating at an unprecedented rate, exceeding previous predictions. As businesses continue to broaden their data landscape, they are keen to harness the vast storage options that Azure provides. Nevertheless, the burgeoning storage requirements present challenges in tracking the specific segments of consumption, which may result in escalating costs and potential budget challenges.
With Cloud Storage Manager, users can effectively pinpoint their storage usage trends, allowing them to regain oversight and cut down on expenses.
This tool presents a view reminiscent of Azure Explorer, showcasing all Azure Blobs along with the contents of Azure Files. Through this user-friendly interface, you can obtain in-depth details about each Blob, such as its size, creation date, last modified date, and current Storage Tier classification. Furthermore, by leveraging this all-encompassing overview, organizations can refine their storage strategies, ensuring they make well-informed decisions about their Azure resources while maximizing efficiency. In doing so, they can not only monitor their usage more effectively but also uncover opportunities for substantial savings.
What is Azure Data Lake Storage?
Eliminate data silos by adopting a cohesive storage solution that improves cost efficiency through tiered storage options and strategic policy management. Safeguard data integrity with Azure Active Directory (Azure AD) authentication and role-based access control (RBAC), while enhancing data security with essential measures such as encryption at rest and advanced threat protection. This solution emphasizes strong security features, offering flexible protection strategies for data access, encryption, and network governance. It operates as a holistic platform for data ingestion, processing, and visualization, seamlessly integrating with popular analytics tools. Cost savings are realized by scaling storage and computing resources independently, utilizing lifecycle policy management, and applying object-level tiering. With Azure's vast global infrastructure, you can easily accommodate varying capacity requirements and manage data with ease. Moreover, the system supports the execution of extensive analytics queries with reliable high performance, ensuring that your data operations are both efficient and impactful. Ultimately, this approach empowers organizations to harness their data potential fully while maintaining stringent security and performance standards.
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Integrations Supported
Adobe Real-Time CDP
Autymate
Azure Blob Storage
Azure Data Lake
Azure Data Share
Azure Databricks
Azure Files
Azure HDInsight
Azure Marketplace
Azure Synapse Analytics
Integrations Supported
Adobe Real-Time CDP
Autymate
Azure Blob Storage
Azure Data Lake
Azure Data Share
Azure Databricks
Azure Files
Azure HDInsight
Azure Marketplace
Azure Synapse Analytics
API Availability
Has API
API Availability
Has API
Pricing Information
$500
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
SmiKar Software
Date Founded
2015
Company Location
Australia
Company Website
www.smikar.com/cloud-storage-manager/
Company Facts
Organization Name
Microsoft
Date Founded
1975
Company Location
United States
Company Website
azure.microsoft.com/en-us/services/storage/data-lake-storage/
Categories and Features
Cloud Storage
Access Control
Archiving & Retention
Backup
Data Migration
Data Synchronization
Encryption
File Sharing
Version Control
Categories and Features
Big Data
Collaboration
Data Blends
Data Cleansing
Data Mining
Data Visualization
Data Warehousing
High Volume Processing
No-Code Sandbox
Predictive Analytics
Templates