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ease
features
design
support

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Description

IPFS Cluster enhances data management across a collection of IPFS daemons by managing the allocation, replication, and monitoring of a comprehensive pinset that spans multiple peers. While IPFS empowers users with content-addressed storage capabilities, the concept of a permanent web necessitates a solution for data redundancy and availability that preserves the decentralized essence of the IPFS Network. Serving as a complementary application to IPFS peers, IPFS Cluster maintains a unified cluster pinset and intelligently assigns its components to various IPFS peers. The peers in the Cluster create a distributed network that keeps an organized, replicated, and conflict-free inventory of pins. Users can directly ingest IPFS content to multiple daemons simultaneously, enhancing efficiency. Additionally, each peer in the Cluster offers an IPFS proxy API that executes cluster functions while mimicking the behavior of the IPFS daemon's API seamlessly. Written in Go, the Cluster peers can be launched and managed programmatically, making it easier to integrate into existing workflows. This capability empowers developers to leverage the full potential of decentralized storage solutions effectively.

Description

SIOS DataKeeper is a block-level replication solution tailored for host-based environments, providing real-time redundancy either synchronously or asynchronously for Windows Server setups, and it integrates effortlessly with Windows Server Failover Clustering (WSFC). This innovative solution facilitates the creation of "SANless" clusters, removing the need for shared-storage systems by enabling data replication across various local, virtual, or cloud servers such as VMware, Hyper-V, AWS, Azure, and Google Cloud Platform, all while ensuring optimized performance without the necessity for specialized hardware accelerators or compression tools. After installation, it introduces a new SIOS DataKeeper Volume resource within WSFC, allowing for the support of geographically distributed clusters through cross-subnet failover and customizable heartbeat settings. Additionally, it features built-in WAN optimization and effective compression to enhance bandwidth utilization over both local and wide-area networks, thereby improving overall network efficiency. This combination of features makes SIOS DataKeeper an excellent choice for organizations looking to enhance their data availability without the complexities of traditional storage solutions.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS)
Docker
Ethereum
Filecoin
Google Cloud Platform
IPFS
Microsoft Azure
Microsoft Dynamics 365
Microsoft Hyper-V
Microsoft SharePoint
MySQL
Netdata
Oracle Cloud Infrastructure
PostgreSQL
SAP MaxDB
SAP S/4HANA
SIOS LifeKeeper
SQL Server
VMware Cloud
Windows Server Failover Clustering

Integrations

Amazon Web Services (AWS)
Docker
Ethereum
Filecoin
Google Cloud Platform
IPFS
Microsoft Azure
Microsoft Dynamics 365
Microsoft Hyper-V
Microsoft SharePoint
MySQL
Netdata
Oracle Cloud Infrastructure
PostgreSQL
SAP MaxDB
SAP S/4HANA
SIOS LifeKeeper
SQL Server
VMware Cloud
Windows Server Failover Clustering

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

IPFS Cluster

Website

cluster.ipfs.io

Vendor Details

Company Name

SIOS Technology Corp.

Founded

1999

Country

United States

Website

us.sios.com/products/sios-datakeeper/

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Product Features

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