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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Hyperledger Iroha is crafted to be straightforward and seamlessly integrated into infrastructure or IoT initiatives that demand distributed ledger technology. It showcases an uncomplicated framework, a modular design driven by domain specificity in C++, a focus on developing client applications, and introduces a novel consensus algorithm known as YAC, which is fault-tolerant. As a user-friendly blockchain platform, Hyperledger Iroha enables the creation of reliable, secure, and efficient applications, leveraging the advantages of a permissioned blockchain coupled with its crash fault-tolerant consensus mechanism. The platform is open-source and free to use, compatible with both Linux and Mac OS, and supports a variety of libraries for mobile and desktop environments. Hyperledger Iroha serves as a versatile permissioned blockchain solution, capable of managing digital assets, identities, and serialized data efficiently. Its potential applications span across multiple sectors, including interbank settlements, central bank digital currencies, payment solutions, national identification systems, and logistics management, making it a valuable asset in the evolving tech landscape. Notably, its design allows for scalability and adaptability, ensuring that it can meet the diverse needs of modern applications.

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.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Consensys Quorum
Evernym Verity
Fujitsu Biometrics-as-a-Service
Hitachi Data Protection as a Service
IBM Cloud
NTT Cloud Communications
Oracle Cloud Infrastructure
Precisely Contracts
Quant
SAP Cloud Platform
Splunk Cloud Platform
Thales Sentinel
Wipro Cloud Studio

Integrations

Consensys Quorum
Evernym Verity
Fujitsu Biometrics-as-a-Service
Hitachi Data Protection as a Service
IBM Cloud
NTT Cloud Communications
Oracle Cloud Infrastructure
Precisely Contracts
Quant
SAP Cloud Platform
Splunk Cloud Platform
Thales Sentinel
Wipro Cloud Studio

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

Hyperledger

Founded

2015

Country

United States

Website

www.hyperledger.org/use/iroha

Vendor Details

Company Name

Erlang

Founded

1997

Website

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

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

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