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Average Ratings 6 Ratings

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ease
features
design
support

Description

Data management in telecommunications encompasses various elements, some of which traditional Database Management Systems (DBMSs) do not fully cover. Due to the necessity for high fault tolerance in continuous operation systems and the need for the DBMS to operate within the same address space as the applications, we have developed a novel DBMS known as Mnesia. Mnesia is intricately integrated with Erlang and offers essential functionalities for creating fault-tolerant telecommunications systems. Specifically designed for industrial-grade telecommunications applications, Mnesia serves as a multiuser distributed DBMS and aligns with Erlang as its primary programming language. This system aims to resolve all data management challenges typical in telecommunications environments and boasts several advanced features rarely seen in conventional DBMSs. Moreover, Mnesia's design emphasizes reliability and performance, making it an ideal choice for critical applications in the field.

Description

QuantaStor, a unified Software Defined Storage platform, is designed to scale up and down to simplify storage management and reduce overall storage costs. QuantaStor storage grids can be configured to support complex workflows that span datacenters and sites. QuantaStor's storage technology includes a built-in Federated Management System that allows QuantaStor servers and clients to be combined to make management and automation easier via CLI and RESTAPIs. QuantaStor's layered architecture gives solution engineers unprecedented flexibility and allows them to design applications that maximize workload performance and fault tolerance for a wide variety of storage workloads. QuantaStor provides end-to-end security coverage that allows multi-layer data protection for cloud and enterprise storage deployments.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Docker
Grafana Cloud
IBM Cloud
IBM Cloud Object Storage
Kemp LoadMaster
Mattermost
Microsoft Azure
Nagios Core
PagerDuty
Rackspace OpenStack
Slack
Wasabi
Zabbix

Integrations

Amazon S3
Docker
Grafana Cloud
IBM Cloud
IBM Cloud Object Storage
Kemp LoadMaster
Mattermost
Microsoft Azure
Nagios Core
PagerDuty
Rackspace OpenStack
Slack
Wasabi
Zabbix

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$/TB based on scale
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

Erlang

Founded

1997

Website

erlang.org/doc/apps/mnesia/Mnesia_chap3.html

Vendor Details

Company Name

OSNexus

Founded

2010

Country

United States

Website

www.osnexus.com

Product Features

Database

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

Product Features

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 Replication

Asynchronous Data Replication
Automated Data Retention
Continuous Replication
Cross-Platform Replication
Dashboard
Instant Failover
Orchestration
Remote Database Replication
Reporting / Analytics
Simulation / Testing
Synchronous Data Replication

Encryption

Central Policy Enforcement
Drag & Drop UI
Email Encryption
Encryption Key Management
Endpoint Encryption
File Compression
File Encryption
Full Disk Encryption
Public Key Cryptography
Tokenization / Data Masking

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