Average Ratings 0 Ratings
Average Ratings 0 Ratings
Description
IBM's Storage Archive software, part of its comprehensive storage portfolio, features a user-friendly graphical interface that facilitates the management of data stored in tape drives and libraries, utilizing the Linear Tape File System (LTFS) standard for the reading, writing, and exchanging of metadata on tape cartridges. This solution allows users to directly and intuitively access their tape-stored data, removing the necessity for extra tape management tools or software to retrieve information. Furthermore, Storage Archive provides three distinct software options tailored for managing digital files with the LTFS format: Single Drive Edition, Library Edition, and Enterprise Edition, catering to various organizational needs and scales. With these options, users can choose the most suitable solution to efficiently handle their archival data requirements.
Description
Maintaining outdated backup catalogs can incur high costs. The process of retrieving data from old tape backups has traditionally been intricate and time-consuming. Furthermore, neglecting these backup archives can lead to severe governance issues. Index Engines provides organizations with the ability to make informed choices about their legacy backup data, utilizing innovative direct indexing technology that operates independently of the original backup software. This approach involves a non-invasive analysis of backup images stored on tape or disk, which reveals valuable insights regarding file types, dates, users, and additional details. The capability to extract this information facilitates the selection of specific content for immediate requests or comprehensive compliance-driven migrations. Clients of Index Engines vary from smaller data environments managing terabytes of information to large multinational companies dealing with intricate data systems encompassing petabytes. Their implementations cover a wide range of needs, including data minimization, consolidation of legacy backup catalogs and data, as well as recovery from ransomware incidents and ensuring readiness for governance challenges. Ultimately, Index Engines enables organizations to streamline their legacy data management while reducing costs and improving compliance.
API Access
Has API
API Access
Has API
Pricing Details
No price information available.
Free Trial
Free Version
Pricing Details
No price information available.
Free Trial
Free Version
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Deployment
Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Customer Support
Business Hours
Live Rep (24/7)
Online Support
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Types of Training
Training Docs
Webinars
Live Training (Online)
In Person
Vendor Details
Company Name
IBM
Founded
1911
Country
United States
Website
www.ibm.com/products/storage-archive
Vendor Details
Company Name
Index Engines
Country
United States
Website
www.indexengines.com/backup
Product Features
Data Management
Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge
Product Features
Archiving
Access Control
Data Deduplication
Document Management
Email Archiving
Multimedia Archiving
Retention Management
Storage Management
Version Control
Web Archiving
eDiscovery
Backup
Backup Log
Backup Scheduling
Cloud Backup
Compression
Continuous Backup
Encryption
Incremental Backup
Local Server Options
Remote Server Options
Secure Data Storage
Web Access / Restoration
Data Governance
Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management
eDiscovery
Case Analytics
Compliance Management
Discussion Threads
Document Indexing
Document Tracking
Full Text Extraction
Keyword Search
Metadata Extraction
Topic Clustering