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What is Informatica Cloud Data Integration?

Leverage high-speed ETL solutions for effective data ingestion, utilizing both bulk ingestion and change data capture techniques. Effortlessly merge data across diverse cloud environments by employing ETL, ELT, Spark, or a fully managed serverless architecture. Unify applications seamlessly whether they reside on-premises or are part of a SaaS ecosystem. Experience data processing rates that can be up to 72 times quicker, efficiently managing petabytes of data within your cloud framework. Explore how Informatica’s Cloud Data Integration enables the swift creation of high-performance data pipelines customized for various integration demands. Successfully ingest databases, files, and real-time streaming data to support immediate data replication and analytics. Promote real-time application and data integration through intelligent business processes that link both cloud-based and on-premises sources. Easily integrate message-driven architectures, event queues, and topics while accommodating top industry tools. Engage with a wide array of applications and any API, facilitating real-time integration through APIs, messaging, and pub/sub systems—all without requiring any coding skills. This holistic strategy empowers organizations to unlock their data's full potential and significantly enhance their operational efficiency, ultimately leading to more informed decision-making and improved business outcomes.

What is Azure Service Fabric?

Focus on crafting applications and refining business logic while Azure handles the intricate obstacles tied to distributed systems, such as reliability, scalability, management, and latency. At the core of Azure's essential infrastructure lies Service Fabric, an open-source framework that also supports various Microsoft services, including Skype for Business, Intune, Azure Event Hubs, Azure Data Factory, Azure Cosmos DB, Azure SQL Database, Dynamics 365, and Cortana. Designed to deliver services that are not only highly available but also resilient at a cloud scale, Azure Service Fabric possesses a deep understanding of the required infrastructure and resource needs for applications, which allows for features like automatic scaling, rolling updates, and recovery from potential faults. By freeing you to concentrate on developing features that add tangible business value to your application, Azure alleviates the need to create and manage additional code aimed at addressing concerns related to reliability, scalability, management, or latency in the underlying infrastructure. This strategic approach empowers developers to innovate swiftly and effectively, fostering increased productivity and enhancing overall business outcomes. In an era where rapid technological advancements are crucial, leveraging Azure's capabilities can significantly accelerate your development processes.

Media

Media

Integrations Supported

ActiveBatch Workload Automation
DataOps.live
Stonebranch

Integrations Supported

AnalyticsCreator
Azure Cosmos DB
Azure Data Factory
Azure DevOps
Azure Marketplace
Azure SQL Database
Codified
Gurucul
Microsoft Dynamics 365
Microsoft Intune
Resco Field Sales+
TimeXtender

API Availability

Has API

API Availability

Pricing Information

Pricing not provided
Free Trial Offered?

Pricing Information

$0.17 per month
1 virtual machine, 1 hour

Supported Platforms

SaaS
On-Prem

Supported Platforms

Windows

Customer Service / Support

Standard Support
Web-Based Support

Customer Service / Support

Standard Support
24 Hour Support
Web-Based Support

Training Options

Documentation Hub

Training Options

Documentation Hub

Company Facts

Organization Name

Informatica

Company Location

United States

Company Website

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

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/services/service-fabric/

Categories and Features

Data Integration

Not specified

Integration

Not specified

iPaaS

Not specified

Categories and Features

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