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Average Ratings 0 Ratings

Total
ease
features
design
support

No User Reviews. Be the first to provide a review:

Write a Review

Description

To succeed in the current post-digital landscape, your organization must possess a comprehensive understanding of all available data. It is essential to ensure that this data is not only timely but also accurate, consistent, and complete. Achieving real-time insights will empower you to make immediate decisions confidently. The Clareti platform was developed with cutting-edge big data and cloud-native technology, guaranteeing the adaptability, scalability, and strength that your business requires. Whether you choose to deploy it in your own cloud, another cloud, or on-premises, we recognize the critical nature of flexibility, allowing you to make the choice. Our integration of cloud-native technology also supports self-service capabilities, enabling your teams to take greater initiative. Additionally, the Clareti platform is crafted to seamlessly integrate with API-based infrastructures, enhancing its built-in features while supporting both RESTful and GraphQL API connections. By leveraging such robust technology, the Clareti platform stands out as a powerful tool designed to meet the dynamic needs of modern businesses effectively.

Description

TriggerMesh envisions a future where developers increasingly create applications as a connected network of cloud-native functions and services, integrating resources from various cloud providers along with on-premises systems. This kind of architecture is seen as optimal for agile businesses striving to offer seamless digital experiences to their users. As the pioneer in utilizing Kubernetes and Knative, TriggerMesh facilitates application integration that spans both cloud environments and on-premises infrastructure. With the capabilities offered by TriggerMesh, enterprises can streamline their workflows by linking applications, cloud services, and serverless functions efficiently. The rise of cloud-native applications has led to an explosion in the number of functions distributed across diverse cloud platforms. TriggerMesh effectively dismantles the barriers between different cloud environments, ensuring genuine cross-cloud portability and interoperability for modern businesses. This approach not only enhances flexibility but also empowers organizations to innovate without being restricted by their infrastructure choices.

API Access

Has API No 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

Amazon Web Services (AWS) No 
Azure Event Hubs No 
GitHub No 
Kubernetes No 
Salesforce No 
Twilio No 

Integrations

Amazon Web Services (AWS) Yes 
Azure Event Hubs Yes 
GitHub Yes 
Kubernetes Yes 
Salesforce Yes 
Twilio Yes 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Pricing Details

No price information available.
Free Trial No 
Free Version No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux No 
Chromebook No 

Deployment

Web-Based Yes 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) Yes 
Online Support No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Types of Training

Training Docs No 
Webinars No 
Live Training (Online) No 
In Person No 

Vendor Details

Company Name

Gresham

Founded

1969

Country

United States

Website

www.greshamtech.com/platform

Vendor Details

Company Name

TriggerMesh

Website

www.triggermesh.com

Product Features

Data Management

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

Product Features

Integration

Dashboard No 
ETL - Extract / Transform / Load No 
Metadata Management No 
Multiple Data Sources No 
Web Services No 

iPaaS

AI / Machine Learning No 
Cloud Data Integration No 
Dashboard No 
Data Quality Control No 
Data Security No 
Drag & Drop No 
Embedded iPaaS No 
Integration Management No 
Pre-Built Connectors No 
White Label No 
Workflow Management No 

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