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What is Azure Data Factory?

Effortlessly merge your data silos with Azure Data Factory, a flexible service tailored to accommodate a wide range of data integration needs for users of varying skill levels. The platform allows you to create both ETL and ELT workflows without the need for coding through its intuitive visual interface, or you can choose to implement custom code if that suits your preferences better. It also boasts seamless integration capabilities with more than 90 ready-to-use connectors, all included at no additional cost. With a strong emphasis on your data, this serverless integration service takes care of all the complexities for you. Azure Data Factory acts as a powerful layer for data integration and transformation, supporting your digital transformation initiatives. Moreover, it enables independent software vendors (ISVs) to elevate their SaaS offerings by integrating hybrid data, which helps them deliver more engaging, data-centric user experiences. By leveraging pre-built connectors and scalable integration features, you can focus on boosting user satisfaction while Azure Data Factory adeptly manages backend operations, thereby simplifying your data management processes. Additionally, this service empowers you to achieve greater agility and responsiveness in your data-driven strategies.

What is Azure Batch?

Batch enables the execution of applications on both individual workstations and large clusters, thereby facilitating smooth integration of your executables and scripts into the cloud for improved scalability. It employs a queuing mechanism to capture the tasks you intend to run, processing your applications in an organized manner. To enhance your cloud workflow, it’s vital to consider the data types that need to be transported for processing, how the data will be distributed, the specific parameters for each task, and the commands needed to initiate these processes. Imagine this workflow as an assembly line where multiple applications collaborate seamlessly. With Batch, you can also share data at various stages and maintain a comprehensive overview of the entire execution process. In contrast to traditional systems that function on predetermined schedules, Batch provides on-demand job processing, allowing clients to execute their tasks in the cloud as needed. Furthermore, you can manage access to Batch, determining who can use it and the extent of resources they can access while ensuring compliance with critical standards such as encryption. An array of monitoring tools is also available, offering insights into ongoing activities and helping to quickly identify and resolve any issues that may occur. This integrated management strategy not only guarantees efficient cloud operations but also maximizes resource utilization, ultimately leading to enhanced performance and reliability in your computing tasks. By leveraging Batch, organizations can adapt to varying workloads and optimize their cloud infrastructure dynamically.

Media

Media

Integrations Supported

Azure Marketplace
Amazon Redshift
AnalyticsCreator
Azure Service Fabric
DataHawk
Evvox
FairCom DB
Git
Google Cloud BigQuery
IBM Databand
Klera
Microsoft Azure
Microsoft Customer Lockbox
Microsoft Fabric
New Relic
Orchestra
RunMyJobs by Redwood
Sirius
Stonebranch
Suntek Reporting

Integrations Supported

Azure Marketplace
Amazon Redshift
AnalyticsCreator
Azure Service Fabric
DataHawk
Evvox
FairCom DB
Git
Google Cloud BigQuery
IBM Databand
Klera
Microsoft Azure
Microsoft Customer Lockbox
Microsoft Fabric
New Relic
Orchestra
RunMyJobs by Redwood
Sirius
Stonebranch
Suntek Reporting

API Availability

Has API

API Availability

Has API

Pricing Information

Pricing not provided.
Free Trial Offered?
Free Version

Pricing Information

$3.1390 per month
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

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/data-factory/

Company Facts

Organization Name

Microsoft

Date Founded

1975

Company Location

United States

Company Website

azure.microsoft.com/en-us/products/batch

Categories and 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

Data Preparation

Collaboration Tools
Data Access
Data Blending
Data Cleansing
Data Governance
Data Mashup
Data Modeling
Data Transformation
Machine Learning
Visual User Interface

ETL

Data Analysis
Data Filtering
Data Quality Control
Job Scheduling
Match & Merge
Metadata Management
Non-Relational Transformations
Version Control

Integration

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

Categories and Features

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