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Average Ratings 2 Ratings

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support

Description

Atlassian Clover has long served as a trusted tool for code coverage analysis for Java and Groovy developers, enabling us to dedicate our resources to enhancing features and refining our primary products like Jira Software and Bitbucket. This steadfast reliability prompted our choice to transition Clover to an open-source model, which we believe will provide it with the focus and support necessary for growth. We are thrilled to invite developers to engage with Clover, as they have successfully done with our other open-source initiatives, such as the IDE connectors and various libraries. While Clover is already a robust tool for measuring code coverage, we are eager to witness the innovations and improvements that the community will bring to this valuable resource. The collaboration and contributions from developers will undoubtedly help Clover reach its full potential.

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 No 

API Access

Has API Yes 

Screenshots View All

Screenshots View All

Integrations

Apache Groovy Yes 
Apigene Yes 
Better Auth Yes 
Bitbucket Yes 
Enterprise Tester Yes 
Indent Yes 
Lunar.dev Yes 
Metorial Yes 
O-mega Yes 
PROCESIO Yes 
Polaris PPM Yes 
Primo Yes 
Radiantly Yes 
Rollup Yes 
SecureStack Yes 
Sidekicker Yes 
Smart Assignments and Rotations Yes 
Veamly Yes 
Vertica No 
iFinder Yes 

Integrations

Apache Groovy No 
Apigene No 
Better Auth No 
Bitbucket No 
Enterprise Tester No 
Indent No 
Lunar.dev No 
Metorial No 
O-mega No 
PROCESIO No 
Polaris PPM No 
Primo No 
Radiantly No 
Rollup No 
SecureStack No 
Sidekicker No 
Smart Assignments and Rotations No 
Veamly No 
Vertica Yes 
iFinder No 

Pricing Details

No price information available.
Free Trial Yes 
Free Version No 

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 Yes 
Free Version Yes 

Deployment

Web-Based Yes 
On-Premises No 
iPhone App No 
iPad App No 
Android App No 
Windows No 
Mac No 
Linux No 
Chromebook No 

Deployment

Web-Based No 
On-Premises Yes 
iPhone App No 
iPad App No 
Android App No 
Windows Yes 
Mac Yes 
Linux Yes 
Chromebook No 

Customer Support

Business Hours No 
Live Rep (24/7) No 
Online Support Yes 

Customer Support

Business Hours Yes 
Live Rep (24/7) Yes 
Online Support Yes 

Types of Training

Training Docs Yes 
Webinars No 
Live Training (Online) No 
In Person No 

Types of Training

Training Docs Yes 
Webinars Yes 
Live Training (Online) Yes 
In Person Yes 

Vendor Details

Company Name

Atlassian

Founded

2002

Country

Australia

Website

www.atlassian.com/software/clover

Vendor Details

Company Name

CloverDX

Founded

2007

Country

Czech Republic, USA, UK

Website

www.cloverdx.com

Product Features

Software Testing

Automated Testing No 
Black-Box Testing No 
Dynamic Testing No 
Issue Tracking No 
Manual Testing No 
Quality Assurance Planning No 
Reporting / Analytics No 
Static Testing No 
Test Case Management No 
Variable Testing Methods No 
White-Box Testing No 

Product Features

Data Lineage

Database Change Impact Analysis No 
Filter Lineage Links No 
Implicit Connection Discovery No 
Lineage Object Filtering No 
Object Lineage Tracing No 
Point-in-Time Visibility No 
User/Client/Target Connection Visibility No 
Visual & Text Lineage View Yes 

Data Management

Customer Data No 
Data Analysis No 
Data Capture No 
Data Integration Yes 
Data Migration Yes 
Data Quality Control Yes 
Data Security Yes 
Information Governance No 
Master Data Management Yes 
Match & Merge No 

Data Quality

Address Validation No 
Data Deduplication Yes 
Data Discovery Yes 
Data Profililng Yes 
Master Data Management Yes 
Match & Merge No 
Metadata Management No 

Data Visualization

Analytics No 
Content Management No 
Dashboard Creation No 
Filtered Views No 
OLAP No 
Relational Display No 
Simulation Models No 
Visual Discovery No 

ETL

Data Analysis No 
Data Filtering Yes 
Data Quality Control Yes 
Job Scheduling Yes 
Match & Merge Yes 
Metadata Management No 
Non-Relational Transformations Yes 
Version Control Yes 

Integration

Dashboard No 
ETL - Extract / Transform / Load Yes 
Metadata Management Yes 
Multiple Data Sources Yes 
Web Services Yes 

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