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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
For many years, businesses have been led to believe that they would receive effective solutions for application modernization, digital product innovation, and no-code or low-code development options. Unfortunately, these assurances fell short, leaving organizations with numerous fragmented point solutions that lack scalability, ultimately chaining them to proprietary languages and rigid vendor offerings. Companies are now confronted with a pressing requirement for modernization, as approximately 80% of their IT budgets are tied up in outdated legacy systems. There's a strong demand for quick integrations paired with simplified, cost-effective implementation strategies. The competitive landscape is fierce; not only is it challenging to capture market share, but achieving growth is even more daunting. To thrive, enterprises must create intricate omnichannel digital products that deliver superior user experiences. Frustration is mounting among developers who feel trapped by proprietary programming languages and escalating vendor costs due to add-ons. Therefore, large enterprises urgently need the flexibility to easily construct and enhance their digital platforms without limitations. This need for adaptability is crucial for sustaining their competitive edge in a rapidly evolving market.
API Access
Has API
API Access
Has API
Integrations
Amazon Redshift
AnalyticsCreator
Apache Spark
Ascend
Azure Data Lake
Azure Marketplace
Azure Service Fabric
DataHawk
Evvox
FairCom DB
Integrations
Amazon Redshift
AnalyticsCreator
Apache Spark
Ascend
Azure Data Lake
Azure Marketplace
Azure Service Fabric
DataHawk
Evvox
FairCom DB
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
FlowX.AI
Founded
2020
Country
United States
Website
www.flowx.ai/
Product Features
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services
Product Features
Artificial Intelligence
Chatbot
For Healthcare
For Sales
For eCommerce
Image Recognition
Machine Learning
Multi-Language
Natural Language Processing
Predictive Analytics
Process/Workflow Automation
Rules-Based Automation
Virtual Personal Assistant (VPA)
Integration
Dashboard
ETL - Extract / Transform / Load
Metadata Management
Multiple Data Sources
Web Services