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ease
features
design
support

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Description

Combine data silos effortlessly using Azure Data Factory, a versatile service designed to meet diverse data integration requirements for users of all expertise levels. You can easily create both ETL and ELT workflows without any coding through its user-friendly visual interface, or opt to write custom code if you prefer. The platform supports the seamless integration of data sources with over 90 pre-built, hassle-free connectors, all at no extra cost. With a focus on your data, this serverless integration service manages everything else for you. Azure Data Factory serves as a robust layer for data integration and transformation, facilitating your digital transformation goals. Furthermore, it empowers independent software vendors (ISVs) to enhance their SaaS applications by incorporating integrated hybrid data, enabling them to provide more impactful, data-driven user experiences. By utilizing pre-built connectors and scalable integration capabilities, you can concentrate on enhancing user satisfaction while Azure Data Factory efficiently handles the backend processes, ultimately streamlining your data management efforts.

Description

The Hybrid Data Pipeline stands out as the preferred solution for organizations that understand that how they access and utilize data is a key factor in gaining a competitive edge today. Featuring an extensive library of data connectors, it enhances data management through identity-based access controls that are applicable to both teams and individuals and offers universal client connectivity options such as ODBC, JDBC, OData, and REST, among others. As companies navigate intricate hybrid data environments due to corporate compliance policies, it can be challenging to maintain clear visibility over data access and to control the rising costs associated with data management, security, and compliance. With the Hybrid Data Pipeline, DataDirect simplifies this process by providing a streamlined gateway that facilitates access control without the need for sharing database credentials or managing local installations. The platform also excels in identity management, allowing organizations to provision data sources effectively and manage user and role-based access, which fosters improved security and governance. By leveraging this innovative solution, businesses can not only enhance their data management practices but also ensure compliance and security are maintained efficiently.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

AnalyticsCreator
Apache Spark
Ascend
Azure Data Lake
Azure Marketplace
DataHawk
Klera
Microsoft 365
Microsoft Fabric
MindBridge
NLSQL
New Relic
OAuth
Orchestra
Pantomath
Rackspace
RunMyJobs by Redwood
Salesforce
Stonebranch
Suntek Reporting

Integrations

AnalyticsCreator
Apache Spark
Ascend
Azure Data Lake
Azure Marketplace
DataHawk
Klera
Microsoft 365
Microsoft Fabric
MindBridge
NLSQL
New Relic
OAuth
Orchestra
Pantomath
Rackspace
RunMyJobs by Redwood
Salesforce
Stonebranch
Suntek Reporting

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

No price information available.
Free Trial
Free Version

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Deployment

Web-Based
On-Premises
iPhone App
iPad App
Android App
Windows
Mac
Linux
Chromebook

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Customer Support

Business Hours
Live Rep (24/7)
Online Support

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Types of Training

Training Docs
Webinars
Live Training (Online)
In Person

Vendor Details

Company Name

Microsoft

Founded

1975

Country

United States

Website

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

Vendor Details

Company Name

Progress

Founded

1981

Country

United States

Website

www.progress.com/connectors/cloud-data-integration

Product 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

Product Features

Integration

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

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