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ease
features
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support

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Description

The Data Orchestration Platform enables the transformation of your IoT data into a comprehensive AI environment, allowing for the seamless processing of thousands of AI pipelines and the capability to scale up to millions of devices. It's time to harness the power of your data and elevate your IoT project to new heights with Astarte Flow: Your AI Environment. This platform serves as the central hub for integrating your AI pipelines and data science tasks within your IoT application. Experience the advantages of a cloud-native solution without the burden of DevOps, as Astarte handles Kubernetes management on your behalf. Embrace cutting-edge cloud technologies without needing any specific domain expertise. With its commitment to open-source principles, Astarte utilizes established, open, and standard protocols and technologies. It stands out as the preferred platform for your AI and IoT initiatives, efficiently managing and processing your IoT and context data while seamlessly handling everything in between—from data collection to deployment. By leveraging Astarte, you can unlock the full potential of your IoT ecosystem, ensuring a more effective and innovative approach to data utilization.

Description

Microservices architecture enables efficient streaming and batch data processing specifically designed for platforms like Cloud Foundry and Kubernetes. By utilizing Spring Cloud Data Flow, users can effectively design intricate topologies for their data pipelines, which feature Spring Boot applications developed with the Spring Cloud Stream or Spring Cloud Task frameworks. This powerful tool caters to a variety of data processing needs, encompassing areas such as ETL, data import/export, event streaming, and predictive analytics. The Spring Cloud Data Flow server leverages Spring Cloud Deployer to facilitate the deployment of these data pipelines, which consist of Spring Cloud Stream or Spring Cloud Task applications, onto contemporary infrastructures like Cloud Foundry and Kubernetes. Additionally, a curated selection of pre-built starter applications for streaming and batch tasks supports diverse data integration and processing scenarios, aiding users in their learning and experimentation endeavors. Furthermore, developers have the flexibility to create custom stream and task applications tailored to specific middleware or data services, all while adhering to the user-friendly Spring Boot programming model. This adaptability makes Spring Cloud Data Flow a valuable asset for organizations looking to optimize their data workflows.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Apache Tomcat
Cloud Foundry
Flipdish
Kubernetes
Mariner Financial Wellness
Spring Framework
VMware Cloud

Integrations

Apache Tomcat
Cloud Foundry
Flipdish
Kubernetes
Mariner Financial Wellness
Spring Framework
VMware Cloud

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

Ispirata

Country

Italy

Website

ispirata.com

Vendor Details

Company Name

Spring

Website

spring.io/projects/spring-cloud-dataflow

Product Features

Data Management

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

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