Apache Unomi

A core server application built in Java, available as open-source software, enabling transparency and community contributions.

Designed to collect, store, and manage data for all types of individuals interacting with a business, including anonymous visitors, identified leads, and existing customers.

Provides the underlying data and decisioning capabilities necessary to tailor content, offers, and interactions for individual users.

Includes built-in functionalities to manage user consents and comply with stringent data privacy regulations like GDPR.

Allows organizations to collect and retain full ownership of their directly acquired customer data.

Creates and maintains unified customer profiles that consolidate all known information, including both anonymous and personally identifiable data, over time.

Supports assigning multiple identifier aliases to a single customer profile, simplifying data merging and integration with diverse external systems like CRMs.

Enables immediate, on-the-fly decisions and actions based on the most current customer data and context.

Designed with features to help businesses adhere to data protection laws and manage user privacy settings effectively.

Core capability to define, build, and manage dynamic customer segments based on various attributes and behaviors for targeted marketing and analysis.

Allows for the creation and application of scoring rules to customer profiles, indicating interest level, engagement, or readiness for specific actions.

Provides robust handling of various customer events (e.g., page views, clicks, purchases), including validation against JSON schema, search capabilities, and optimized logging.

Manages customer sessions, including Karaf Shell commands for viewing session data and using ElasticSearch rollover strategies for efficient session indexing.

Engineered to handle massive volumes of data and high concurrent loads, ensuring performance as operations grow.

Utilizes ElasticSearch as its primary data storage backend, offering dynamic schema capabilities and powerful search functionalities.

Runs within the Apache Karaf OSGi runtime environment, supporting a modular and extensible architecture.

All interactions with the platform are exposed via a comprehensive and easy-to-use HTTP REST API, using JSON data formats for communication.

Supports extending its functionalities by developing and integrating plugins, leveraging OSGi and simple JSON descriptors.

Provides official Docker images, Docker Compose files, and centralized configurations for easy deployment and management in containerized environments.

Compatible with both JDK 8 and JDK 11, with JDK 11 being the default for Docker images.

Offers initial support for consuming data from Kafka message brokers for scalable data ingestion.

Designed for straightforward setup and installation, often requiring just an unzip and run command.

Features a modern, self-sufficient web tracker that replaces older versions, designed for direct use and easy extension.

Includes a new GraphQL API for advanced event input and object management, based on the OASIS CXS CDP Specification (deactivated by default for security).

Improves performance by associating rules directly with event types in memory, ensuring only relevant rules are evaluated.

Allows for direct validation of events against defined JSON schemas, ensuring data quality at ingestion.

Ongoing enhancements across the platform, including faster direct profile exports to CSV and optimized profile merge systems.

A mechanism to improve the modification of default definitions for rules, segments, and other configurations.

Regularly updates underlying libraries and dependencies (e.g., Log4j, Yauaa, JSON schema validator) to ensure stability, security, and performance.

Governed as an Apache Software Foundation project, fostering an open community, transparency, and welcoming contributions.

Serves as a foundational implementation for the upcoming OASIS Context Server Customer Data Platform (CDP) standard, promoting industry-wide standardization.

All project resources, including source code, mailing lists, and issue trackers, are openly accessible for community involvement and transparency.

Can be used as a foundation to build applications that adapt website content based on audience behavior.

Facilitates tracking and understanding customer journeys by collecting data from mobile applications.

Allows consolidation of customer and lead profiles across physical stores by connecting with IoT beacons.

Enables automated pushing of qualified lead profiles to CRM systems when they reach a predefined score.