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What is CloverDX?

With a user-friendly visual editor designed for developers, you can create, debug, execute, and resolve issues in data workflows and transformations. This platform allows you to orchestrate data tasks in a specific order and manage various systems using the clarity of visual workflows. It simplifies the deployment of data workloads, whether in a cloud environment or on-premises. You can provide access to data for applications, individuals, and storage all through a unified platform. Furthermore, the system enables you to oversee all your data workloads and associated processes from a single interface, ensuring that no task is insurmountable. Built on extensive experience from large-scale enterprise projects, CloverDX features an open architecture that is both adaptable and easy to use, allowing developers to conceal complexity. You can oversee the complete lifecycle of a data pipeline, encompassing design, deployment, evolution, and testing. Additionally, our dedicated customer success teams are available to assist you in accomplishing tasks efficiently. Ultimately, CloverDX empowers organizations to optimize their data operations seamlessly and effectively.

What is AWS Data Pipeline?

AWS Data Pipeline is a cloud service designed to facilitate the dependable transfer and processing of data between various AWS computing and storage platforms, as well as on-premises data sources, following established schedules. By leveraging AWS Data Pipeline, users gain consistent access to their stored information, enabling them to conduct extensive transformations and processing while effortlessly transferring results to AWS services such as Amazon S3, Amazon RDS, Amazon DynamoDB, and Amazon EMR. This service greatly simplifies the setup of complex data processing tasks that are resilient, repeatable, and highly dependable. Users benefit from the assurance that they do not have to worry about managing resource availability, inter-task dependencies, transient failures, or timeouts, nor do they need to implement a system for failure notifications. Additionally, AWS Data Pipeline allows users to efficiently transfer and process data that was previously locked away in on-premises data silos, which significantly boosts overall data accessibility and utility. By enhancing the workflow, this service not only makes data handling more efficient but also encourages better decision-making through improved data visibility. The result is a more streamlined and effective approach to managing data in the cloud.

Media

Media

Integrations Supported

AWS App Mesh
Amazon DynamoDB
Amazon EC2
Amazon EMR
Amazon RDS
Amazon S3
EC2 Spot
Functionize
SquaredUp
Tableau
Vertica

Integrations Supported

AWS App Mesh
Amazon DynamoDB
Amazon EC2
Amazon EMR
Amazon RDS
Amazon S3
EC2 Spot
Functionize
SquaredUp
Tableau
Vertica

API Availability

Has API

API Availability

Has API

Pricing Information

$5000.00/one-time
Free Trial Offered?
Free Version

Pricing Information

$1 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

CloverDX

Date Founded

2003

Company Location

Czech Republic

Company Website

www.cloverdx.com

Company Facts

Organization Name

Amazon

Date Founded

1994

Company Location

United States

Company Website

aws.amazon.com/datapipeline/

Categories and 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

Categories and Features

ETL

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

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