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What is Astarte?

The Data Orchestration Platform facilitates the conversion of IoT data into a powerful AI environment, adeptly managing thousands of AI pipelines and scaling to support millions of devices. This is the perfect time to tap into the potential of your data, taking your IoT projects to unprecedented levels. Enter Astarte Flow: Your AI Environment, the core hub for unifying AI pipelines and data science operations in your IoT solutions. By utilizing Astarte Flow, you can take advantage of cloud-native features without the complexities of DevOps, as Astarte efficiently oversees Kubernetes for you. Gain access to state-of-the-art cloud technologies without needing to possess specialized expertise. Astarte champions open technologies and protocols, presenting itself as a fully open-source platform built on widely accepted standards. This positions it as an excellent option for your AI and IoT endeavors, as Astarte adeptly manages and processes your IoT and contextual data, from data gathering to insightful analysis. Moreover, with Astarte, you can effortlessly integrate and enhance your data-driven applications, maximizing their impact and effectiveness. Ultimately, the combination of scalability and user-friendliness makes Astarte Flow an invaluable asset for modern data orchestration.

What is Argo?

Utilizing open-source solutions for Kubernetes can significantly streamline workflow execution, cluster oversight, and the adoption of GitOps practices. These tools incorporate a Kubernetes-native workflow engine that supports both Directed Acyclic Graph (DAG) and step-based workflows. Featuring a comprehensive user interface, they promote a declarative method for continuous delivery. Additionally, they make advanced deployment strategies like Canary and Blue-Green approaches much more manageable. Among these tools, Argo Workflows stands out as an open-source, container-native engine that enables the execution of parallel jobs within Kubernetes ecosystems. It operates as a Custom Resource Definition (CRD) in Kubernetes, permitting users to design complex multi-step workflows that outline task sequences and their interdependencies through a graph structure. This functionality not only optimizes the execution of compute-intensive tasks related to machine learning and data processing, but it also cuts down the time needed for job completion when deployed on Kubernetes. Furthermore, these solutions facilitate the smooth operation of CI/CD pipelines directly on Kubernetes, thereby removing the complexities typically associated with software development setups. Ultimately, they are specifically crafted for container environments, reducing the overhead and limitations often encountered with conventional virtual machines and server architectures. By adopting these advanced tools, organizations can significantly improve workflow management in today’s cloud-native applications, resulting in more efficient and agile development processes.

Media

Media

Integrations Supported

Flipdish

Integrations Supported

Akuity
Argo CD
CloudKnit
Kubernetes
Testkube
UBOS

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

Pricing not provided

Supported Platforms

SaaS

Supported Platforms

Windows
Linux

Customer Service / Support

Not specified

Customer Service / Support

Web-Based Support

Training Options

Not specified

Training Options

Documentation Hub
Webinars

Company Facts

Organization Name

Ispirata

Company Location

Italy

Company Website

ispirata.com

Company Facts

Organization Name

Argo

Company Location

United States

Company Website

argoproj.github.io

Categories and Features

Data Management

Data Analysis
Data Capture
Data Quality Control
Information Governance
Master Data Management

Categories and Features

Continuous Delivery

Not specified

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