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What is IPFS Cluster?

IPFS Cluster significantly improves data management across a network of IPFS daemons by overseeing the allocation, replication, and monitoring of a robust pinset that spans various peers. As IPFS offers users the ability to utilize content-addressed storage, the need for a permanent web brings forth the requirement for solutions that ensure data redundancy and availability while maintaining the decentralized nature of the IPFS Network. Acting as a complementary tool for IPFS peers, IPFS Cluster sustains a cohesive cluster pinset and smartly distributes its elements among different IPFS peers. The peers forming the Cluster establish a distributed network that upholds an organized, replicated, and conflict-free record of pins, ensuring reliability. Users can efficiently ingest IPFS content to multiple daemons at once, thereby boosting operational effectiveness. Furthermore, each peer within the Cluster provides an IPFS proxy API that carries out cluster functions while seamlessly imitating the behavior of the API from the IPFS daemon. Built using Go, the Cluster peers can be initiated and overseen programmatically, facilitating easier integration into current workflows. This feature empowers developers to tap into the complete capabilities of decentralized storage solutions, ultimately enhancing their projects' functionality and resilience. Additionally, the innovative design of IPFS Cluster fosters collaboration among users and developers alike, creating a more robust ecosystem for decentralized applications.

What is Apache Geode?

Develop applications that function with remarkable speed and accommodate substantial data volumes while seamlessly adapting to varying performance requirements, irrespective of scale. Utilize the unique features of Apache Geode, which integrates advanced techniques for data replication, partitioning, and distributed computing. This platform provides a consistency model similar to that of traditional databases, guarantees dependable transaction management, and boasts a shared-nothing architecture that maintains low latency even under high concurrency conditions. Efficient data partitioning or duplication across nodes enables performance to scale as demand rises. To guarantee durability, the system keeps redundant in-memory copies alongside persistent storage solutions on disk. Additionally, it facilitates swift write-ahead logging (WAL) persistence, and its design promotes quick parallel recovery for individual nodes or entire clusters, significantly boosting overall system reliability. This comprehensive framework empowers developers to create resilient applications that can adeptly handle varying workloads, providing a robust solution to meet the challenges of modern data demands. Ultimately, this capability ensures that applications remain responsive and effective, even as user requirements evolve.

Media

Media

Integrations Supported

Apache Zeppelin
Docker
Ethereum
Filecoin
IPFS
Netdata
VMware Tanzu GemFire

Integrations Supported

Apache Zeppelin
Docker
Ethereum
Filecoin
IPFS
Netdata
VMware Tanzu GemFire

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
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

IPFS Cluster

Company Website

cluster.ipfs.io

Company Facts

Organization Name

Apache

Date Founded

1999

Company Location

United States

Company Website

geode.apache.org

Categories and Features

Categories and 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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