CloverDX 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.

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Pricing

Pricing Starts At:
$21000/annual
Pricing Information:
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 Version:
Yes
Free Trial:
Yes

Integrations

API:
Yes, CloverDX has an API
View Integrations

Reviews - 2 Verified Reviews

Total
ease
features
design
support
See More Reviews Write a Review

Company Details

Company:
CloverDX
Year Founded:
2007
Headquarters:
Czech Republic, USA, UK
Website:
www.cloverdx.com
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Media

CloverDX Designer with AI Assistant

CloverDX Designer with AI Assistant

CloverDX Designer with AI Assistant CloverDX Server Management Console CloverDX Data Apps for Business Users CloverDX Data Manager
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Product Details

Platforms
Windows
Mac
Linux
On-Premises
Types of Training
Training Docs
Live Training (Online)
Webinars
In Person
Customer Support
Business Hours
Live Rep (24/7)
Online Support

CloverDX Features and Options

ETL Software

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

Data Management Software

Customer Data
Data Analysis
Data Capture
Data Integration
Data Migration
Data Quality Control
Data Security
Information Governance
Master Data Management
Match & Merge

Integration Software

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

Data Quality Software

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

Data Lineage Tool

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 Visualization Software

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

CloverDX Lists

CloverDX User Reviews

Write a Review
  • Name: Peter L.
    Job Title: Data Specialist
    Length of product use: 2+ Years
    Used How Often?: Weekly
    Role: User, Deployment
    Organization Size: 1,000 - 4,999
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Versatile data integration tool

    Date: Jun 01 2022

    Summary: If you need a data platform that does not stand in your way and offers multiple ways how to achieve your goals.

    Positive: - Visual style of designing data transformations which which can be augmented by writing more complex logic as simple script.
    - Great monitoring options to find bottlenecks and/or pinpoint errors.
    - Built-in Parallelism increasing throughput.
    - Excellent support team that provides useful advice.
    - Regular updates through new releases - bugs and security vulnerabilities addressed quickly

    Negative: - Initial learning curve for non-technical user
    - Their concept of metadata differs from other tools
    - Smaller user community compared to the "big guys"

    Read More...
  • Name: Anonymous (Verified)
    Job Title: Product Owner
    Length of product use: 1-2 Years
    Used How Often?: Weekly
    Role: User, Deployment
    Organization Size: 100 - 499
    Features
    Design
    Ease
    Pricing
    Support
    Likelihood to Recommend to Others
    1 2 3 4 5 6 7 8 9 10

    Data integration tool with plenty of functionality

    Edited: May 05 2023

    Summary: We use CloverDX throughout our organization to help us work with disparate datasets. Its automation capabilities allow most of the data pipelines to run on autopilot.

    Positive: If you are IT professional (ideally with previous ETL/DI experience) then within relatively small amount of time, you can create powerful data transformation pipelines.
    This tool boasts rich capabilities to automate your data transformations and publish the results - files, classic DB targets, message queues, API end-points and others.

    Negative: The list of built-in connectors is less impressive than with the bigger competition.
    Limited offering in terms of adjacent fields (MDM, Data Replication)

    Read More...
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