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Average Ratings 0 Ratings

Total
ease
features
design
support

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Write a Review

Description

Utilize high-performance ETL for data ingestion, whether through mass ingestion or change data capture methods. Seamlessly integrate data across any cloud environment using ETL, ELT, Spark, or a fully managed serverless solution. Connect and unify applications, regardless of whether they are on-premises or part of a SaaS model. Achieve data processing speeds of up to 72 times faster, handling petabytes of data within your cloud infrastructure. Discover how Informatica’s Cloud Data Integration empowers you to rapidly create high-performance data pipelines tailored to diverse integration requirements. Effectively ingest databases, files, and real-time streaming data to enable instantaneous data replication and analytics. Facilitate real-time app and data integration through intelligent business processes that connect both cloud and on-premises sources. Effortlessly integrate message-driven systems, event queues, and topics while supporting leading tools in the industry. Connect to numerous applications and any API, enabling real-time integration through APIs, messaging, and pub/sub frameworks—without the need for coding. This comprehensive approach allows businesses to maximize their data potential and improve operational efficiency significantly.

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 Yes 

API Access

Has API No 

Screenshots View All

Screenshots View All

Integrations

ActiveBatch Workload Automation Yes 
Amazon Web Services (AWS) No 
Azure Event Hubs No 
DataOps.live Yes 
GitHub No 
Kubernetes No 
Salesforce No 
Stonebranch Yes 
Twilio No 

Integrations

ActiveBatch Workload Automation No 
Amazon Web Services (AWS) Yes 
Azure Event Hubs Yes 
DataOps.live No 
GitHub Yes 
Kubernetes Yes 
Salesforce Yes 
Stonebranch No 
Twilio Yes 

Pricing Details

No price information available.
Free Trial Yes 
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 No 
Mac No 
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 Yes 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

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

Types of Training

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

Types of Training

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

Vendor Details

Company Name

Informatica

Country

United States

Website

www.informatica.com/products/cloud-integration/cloud-data-integration-c.html

Vendor Details

Company Name

TriggerMesh

Website

www.triggermesh.com

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 

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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