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What is Mainflux?

The infrastructure is fully equipped with microservices that are containerized via Docker and orchestrated using Kubernetes for effective management. It supports various protocols and is hardware agnostic, enabling effortless connections between devices and a range of third-party applications. Secure connections are guaranteed through TLS and DTLS, along with mutual TLS authentication that employs X.509 certificates for added security. The Mainflux software stack includes all necessary components and microservices required for the development of IoT solutions, products, or projects. This IoT platform aims to improve interoperability with pre-existing enterprise applications and other IoT ecosystems. Additionally, it facilitates bidirectional communication with numerous devices and gateways, utilizing a variety of open protocols and data formats for flexibility. The system normalizes messages to streamline integration with the entire infrastructure, enhancing both efficiency and user experience. In conclusion, this all-encompassing approach not only fosters a robust environment for innovative IoT applications but also significantly simplifies the development process for users.

What is Fluentd?

Creating a unified logging framework is crucial for making log data both easily accessible and operationally effective. Many existing solutions fall short in this regard; conventional tools often fail to meet the requirements set by contemporary cloud APIs and microservices, and they lag in their evolution. Fluentd, which is developed by Treasure Data, addresses the challenges inherent in establishing a cohesive logging framework with its modular architecture, flexible plugin system, and optimized performance engine. In addition to these advantages, Fluentd Enterprise caters to the specific needs of larger organizations by offering features like Trusted Packaging, advanced security protocols, Certified Enterprise Connectors, extensive management and monitoring capabilities, and SLA-based support and consulting services designed for enterprise clients. This wide array of features not only sets Fluentd apart but also positions it as an attractive option for companies seeking to improve their logging systems. Ultimately, the integration of such robust functionalities makes Fluentd an indispensable tool for enhancing operational efficiency in today's complex digital environments.

Media

Media

Integrations Supported

Amazon Web Services (AWS)
Apache SkyWalking
Coralogix
Dash0
Edge Delta
Elastic Observability
Elasticsearch
Google Cloud Platform
InsightCat
InsightFinder
KubeGrid
MaxCompute
MicroK8s
MongoDB
Netdata
Observe
Opsera
Sematext Cloud
gopaddle
groundcover

Integrations Supported

Amazon Web Services (AWS)
Apache SkyWalking
Coralogix
Dash0
Edge Delta
Elastic Observability
Elasticsearch
Google Cloud Platform
InsightCat
InsightFinder
KubeGrid
MaxCompute
MicroK8s
MongoDB
Netdata
Observe
Opsera
Sematext Cloud
gopaddle
groundcover

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

Mainflux

Date Founded

2015

Company Location

Serbia

Company Website

www.mainflux.com/cloud.html

Company Facts

Organization Name

Fluentd Project

Date Founded

2011

Company Location

United States

Company Website

www.fluentd.org

Categories and Features

IoT

Application Development
Big Data Analytics
Configuration Management
Connectivity Management
Data Collection
Data Management
Device Management
Performance Management
Prototyping
Visualization

Categories and Features

Streaming Analytics

Data Enrichment
Data Wrangling / Data Prep
Multiple Data Source Support
Process Automation
Real-time Analysis / Reporting
Visualization Dashboards

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