Average Ratings 0 Ratings
Average Ratings 0 Ratings
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
Control-M is a workflow automation solution designed to orchestrate complex application, data, and file-based processes from a single, centralized platform. It replaces fragmented tools and manual scheduling with automated pipelines that run consistently across mainframe, distributed, and multi-cloud environments. The platform empowers teams by providing complete visibility into dependencies, execution status, and SLA health, ensuring business services are delivered without disruption. Native integrations with technologies like Snowflake, Airflow, Azure Data Factory, and AWS services allow enterprises to connect modern and legacy systems effortlessly. Control-M also embeds workflow orchestration directly into DevOps pipelines, using a Jobs-as-Code approach to accelerate releases and strengthen collaboration between developers and operations teams. Its proactive analytics help identify issues early, boost reliability, and optimize resource utilization. Organizations can scale confidently, knowing Control-M is built to handle massive workloads and hybrid-cloud transformations. Ultimately, it enables companies to streamline operations, automate safely, and deliver data-driven outcomes faster.
API Access
Has API
API Access
Has API
Integrations
Pantomath
Amazon Redshift
Amazon S3
BMC Helix ITSM
BMC Helix Operations Management
BMC Middleware Management
DataHawk
FairCom EDGE
IBM watsonx.data integration
JAMS
Integrations
Pantomath
Amazon Redshift
Amazon S3
BMC Helix ITSM
BMC Helix Operations Management
BMC Middleware Management
DataHawk
FairCom EDGE
IBM watsonx.data integration
JAMS
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
BMC Software
Founded
1980
Country
United States
Website
www.bmc.com/it-solutions/control-m.html
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
Managed File Transfer (MFT)
API Integration
Authentication / Auditing
Compression
Data Sharing
Data Transmission Protocol Integration
Database Management
Encryption Support
Fail-Over / Load Balancing
Workload Automation
Alerts / Notifications
Audit Trails
Business Process Management
Cross-Platform Scheduling
Dashboard
Data Analysis / Visualization
Event-Triggers
Load Balancing
Resource-Based Scheduling
Robotic Process Automation (RPA)
Workflow Foundation Support