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ease
features
design
support

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Description

An end-to-end system govern-by-value Data Excellence Management System(c), (DEMS), is a web-based multilingual solution (on-premises or cloud) that uses context intelligence based on semantics and artificial intelligence techniques to allow organisations to automate data governance and business excellence. It also helps to reduce operational costs by reducing operational costs. DEMS facilitates a factual, value-driven collaboration that engages all levels of end-users in the ultimate value creation. It helps organisations manage their data policies and comply with evolving regulations such as FINMA or GDPR. DEMS is a measure of the maturity of your organization's functions and resources. It establishes accountability throughout the organisational structure. It also links data assets to value flows to predicatively guide business strategies.

Description

Simplifying feature flags in Java allows for dynamic enabling and disabling of features without the need for redeployment. This system enables the implementation of various code paths through the use of predicates that are evaluated at runtime, facilitating conditional logic (if/then/else). Features can be activated not only by flag values but also through role and group access management, making it suitable for practices like Canary Releases. It supports various frameworks, starting with Spring Security, and permits the creation of custom predicates utilizing the Strategy Pattern to determine if a feature is active. Several built-in predicates are available, including white/black lists, time-based conditions, and expression evaluations. Additionally, it enables connection to external sources like a Drools rule engine for enhanced decision-making processes. To maintain clean and readable code, it encourages the use of annotations to avoid nested if statements. With Spring AOP, the target implementation is determined at runtime, influenced by the status of the features. Each execution of a feature involves the ff4j evaluating the relevant predicate, which allows for the collection of events and metrics that can be visualized in dashboards or usage trends over time. This approach not only streamlines feature management but also enhances the monitoring and analytics capabilities of your applications.

API Access

Has API

API Access

Has API

Screenshots View All

Screenshots View All

Integrations

Amazon DynamoDB
Apache HBase
ArangoDB
Couchbase
Docker
Drools
Eureka ERP
HashiCorp Consul
Hazelcast
Ignite
MariaDB
MongoDB
Neo4j
Oracle Database
PostgreSQL
Redis
SQL Server
Terracotta

Integrations

Amazon DynamoDB
Apache HBase
ArangoDB
Couchbase
Docker
Drools
Eureka ERP
HashiCorp Consul
Hazelcast
Ignite
MariaDB
MongoDB
Neo4j
Oracle Database
PostgreSQL
Redis
SQL Server
Terracotta

Pricing Details

75000/per domain/per year
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

Global Data Excellence

Founded

2007

Country

Switzerland

Website

www.globaldataexcellence.com

Vendor Details

Company Name

FF4J

Website

ff4j.org

Product Features

Data Governance

Access Control
Data Discovery
Data Mapping
Data Profiling
Deletion Management
Email Management
Policy Management
Process Management
Roles Management
Storage Management

Product Features

Feature Management

A/B Testing
Entitlement Management
Feature Alerts
Feature Flag / Toggle
Feature Rollout Management
KPI Monitoring
Kill Switch
Multivariate Testing
Product Experimentation
Whitelist Creation

Alternatives

Alternatives

waiting Reviews

waiting

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