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ease
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design
support

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

CloverDX is the data integration platform that puts you in control. It combines a visual pipeline designer, full code access and AI-assisted development in one environment. Engineers draw a data flow on the canvas when the whole team must read it, write CTL2, Java, Groovy or Python when the logic is dense, and hand mechanical work such as scaffolding and test data to the AI assistant. Whatever produced a pipeline, the result stays maintainable: visual flows a person can open, code as text in version control, AI output on the same canvas with the same review. CloverDX Server orchestrates the workloads. Schedules, file and message listeners, queues and API triggers keep hands-off processes moving. Data Services publishes pipelines as APIs, and Data Apps give operations staff a way to start runs and approve exceptions. A pipeline can stop at a decision it must not make, wait for the right person, then continue while the rest of the data keeps flowing. Row counts, component timings and a complete execution history make each run observable and each audit cheap. When a job fails, the AI assistant reads the logs and points to the fault. Typical work includes continuous client data onboarding, data ingestion at scale, system consolidation and migration, legacy replacement, and validation and enrichment of high-volume feeds. The Business Tools — Wrangler, Data Manager and Data Catalog — let analysts prepare and correct data themselves. Install CloverDX on premises, in your own cloud or in Kubernetes; your data never touches vendor infrastructure. Licensing is a flat capacity subscription, so the bill stays predictable as volumes grow.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon S3
Ascend
Azure Marketplace
Azure Service Fabric
Evvox
FairCom DB
FairCom EDGE
Git
Google Cloud BigQuery
MetricSign
Microsoft Customer Lockbox
Microsoft Fabric
Orchestra
Pantomath
Rackspace
SQL Server
Sirius
Stonebranch
Tableau
Zipher

Integrations

Amazon S3
Ascend
Azure Marketplace
Azure Service Fabric
Evvox
FairCom DB
FairCom EDGE
Git
Google Cloud BigQuery
MetricSign
Microsoft Customer Lockbox
Microsoft Fabric
Orchestra
Pantomath
Rackspace
SQL Server
Sirius
Stonebranch
Tableau
Zipher

Pricing Details

No price information available.
Free Trial
Free Version

Pricing Details

$21000/annual
Annual subscription licensed by capacity, not usage. DX Units buy engineering capacity - each converts to a production server core or a developer seat, and reallocates between the two at any time - under a Standard, Plus or Enhanced plan that sets the support, services and training wrapper. Flat per-user seats add the self-service Business Tools and AI-assisted authoring. Nothing meters rows, runs, connectors or data volume.
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

CloverDX

Founded

2007

Country

Czech Republic, USA, UK

Website

www.cloverdx.com

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

Data Lineage

Database Change Impact Analysis
Filter Lineage Links
Implicit Connection Discovery
Lineage Object Filtering
Object Lineage Tracing
Point-in-Time Visibility
User/Client/Target Connection Visibility
Visual & Text Lineage View

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 Quality

Address Validation
Data Deduplication
Data Discovery
Data Profililng
Master Data Management
Match & Merge
Metadata Management

Data Visualization

Analytics
Content Management
Dashboard Creation
Filtered Views
OLAP
Relational Display
Simulation Models
Visual Discovery

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

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