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What is YANTRA Connect?

In today’s interlinked environment, seamless system integration is an essential necessity for organizations. Nevertheless, companies still encounter difficulties when attempting to connect systems that employ different architectural approaches, such as microservices alongside centralized Enterprise Service Buses (ESBs), particularly in complex settings. This challenge is effectively addressed by YANTRA Connect, an API-driven hybrid enterprise commerce integration platform designed to aid in the integration of sophisticated enterprise systems, irrespective of their foundational architecture. By providing effortless any-to-any connectivity, it revolutionizes the integration process for businesses. This adaptability not only allows organizations to optimize their operations but also significantly boosts their overall productivity and effectiveness in a competitive market.

What is Spring Cloud Data Flow?

The architecture based on microservices fosters effective handling of both streaming and batch data processing, particularly suited for environments such as Cloud Foundry and Kubernetes. By implementing Spring Cloud Data Flow, users are empowered to craft complex topologies for their data pipelines, utilizing Spring Boot applications built with the frameworks of Spring Cloud Stream or Spring Cloud Task. This robust platform addresses a wide array of data processing requirements, including ETL, data import/export, event streaming, and predictive analytics. The server component of Spring Cloud Data Flow employs Spring Cloud Deployer, which streamlines the deployment of data pipelines comprising Spring Cloud Stream or Spring Cloud Task applications onto modern infrastructures like Cloud Foundry and Kubernetes. Moreover, a thoughtfully curated collection of pre-configured starter applications for both streaming and batch processing enhances various data integration and processing needs, assisting users in their exploration and practical applications. In addition to these features, developers are given the ability to develop bespoke stream and task applications that cater to specific middleware or data services, maintaining alignment with the accessible Spring Boot programming model. This level of customization and flexibility ultimately positions Spring Cloud Data Flow as a crucial resource for organizations aiming to refine and enhance their data management workflows. Overall, its comprehensive capabilities facilitate a seamless integration of data processing tasks into everyday operations.

Media

Media

Integrations Supported

Amazon S3
Apache Kafka
Avalara
Cloud Foundry
Elastic Cloud
Git
Gmail
Grafana
IBM Cloud
Kubernetes
Microsoft Outlook
PayPal
Prometheus
SAP Cloud Platform
Salesforce
Slack
Spring
Spring Framework
VMware Cloud
X (Twitter)

Integrations Supported

Amazon S3
Apache Kafka
Avalara
Cloud Foundry
Elastic Cloud
Git
Gmail
Grafana
IBM Cloud
Kubernetes
Microsoft Outlook
PayPal
Prometheus
SAP Cloud Platform
Salesforce
Slack
Spring
Spring Framework
VMware Cloud
X (Twitter)

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

YANTRA Commerce

Company Website

www.yantracommerce.com/yantra-connect/

Company Facts

Organization Name

Spring

Company Website

spring.io/projects/spring-cloud-dataflow

Categories and Features

Integration

Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services

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