Apache Unomi logo

Apache Unomi

by Apache Software Foundation · Since 2011
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ActiveAvailable globallyCloud
Quick facts
VendorApache Software Foundation
Year launched2011
StatusActive
Location1000 N West St, Suite 1200, Wilmington, Delaware 19801, US
Countries servedGlobal
Languages10
Integrations
Free tier
Free trial
Contact salesYES

About Apache Unomi

Apache Unomi is a customer data platform from Apache Software Foundation that provides a reliable solution for managing customer data. It includes features such as support for customizable data models, real-time data collection, and privacy compliance tools, so businesses can effectively harness customer insights while adhering to regulations. With Apache Unomi, organizations can create tailored customer interactions based on collected data, enabling better decision-making. The platform is designed to support various use cases, facilitates contributions from the community, and offers straightforward download options for users. Key capabilities: customizable data models real-time data collection privacy compliance community contributions multiple use cases Best for: organizations that need a flexible and compliant approach to customer data management.

Apache Unomi, developed by the Apache Software Foundation, is an open-source customer data platform (CDP) designed to provide businesses with a scalable and privacy-compliant way to manage and unify customer profiles. Its primary purpose is to centralize customer data from multiple sources, enabling organizations to build detailed customer profiles and deliver personalized experiences. Built on open standards and designed for extensibility, Apache Unomi offers key features such as real-time data collection, user profile management, segmentation, and rule-based personalization. Being open source, it appeals especially to organizations looking for flexible, customizable solutions without vendor lock-in. The user interface of Apache Unomi is functional but comparatively minimalist, reflecting its roots as a developer-focused platform rather than a polished commercial product. The UI focuses on straightforward navigation between profile management, event tracking, and rule creation modules. While it provides the necessary tools to configure customer data collection and segmentation, the interface might feel less intuitive to non-technical users or marketing teams used to more visually driven CDPs.

Pros & Cons

What users like
  • +Open Source & Community-Driven: Free to use, transparent, and benefits from contributions and support from a broad developer community.
  • +GDPR & Privacy Focused: Built with features specifically designed to manage visitor privacy and help comply with regulations like GDPR.
  • +Extensible & Flexible: Highly customizable through a plugin architecture and a full REST API, allowing for easy integration with existing systems and adaptation to unique business needs.
  • +Scalable Architecture: Designed for horizontal scalability, capable of handling large volumes of data and events.
  • +Real-Time Capabilities: Supports real-time collection, profile consolidation, segmentation, scoring, and decisioning for dynamic personalization.
  • +Standard-Based: Serves as the reference implementation for the OASIS Context Server Customer Data Platform (CDP) standard, promoting interoperability.
  • +Easy Deployment: Described as "very simple to deploy and install (simply unzip & run)."
What users flag
  • Requires Technical Expertise: As an open-source, Java-based platform, it likely requires internal development or IT resources for setup, customization, and ongoing maintenance, unlike out-of-the-box SaaS solutions.
  • No Commercial Support/SLA: Being an Apache project, it doesn't inherently come with dedicated commercial support, service level agreements (SLAs), or a vendor support team, which might be a concern for enterprises.
  • Documentation & Tutorials: While documentation is mentioned, open-source projects can sometimes have less polished or comprehensive user-facing documentation compared to commercial products.
  • Feature Maturity: While robust, specific advanced features might evolve at a different pace or have different levels of polish compared to fully commercial, competitive CDPs, as indicated by ongoing bug fixes and improvements in release notes.

Features

Key features

Open Source Customer Data Platform (CDP)
A Java-based open-source server designed to manage customer, lead, and visitor data, offering complete transparency and community-driven development.
Real-Time Profile Management & Personalization
Manages persistent and consolidated profiles for all audience members (anonymous and identifiable) and supports real-time decisioning for personalizing customer experiences.
Built-in Privacy & GDPR Compliance
Includes features specifically designed to respect visitor privacy rules like GDPR, enabling regulation-proof data management.
Extensible & Integrable Architecture
Designed for extensibility through plugins and APIs, making it easy to integrate with external systems (e.g., CRM, mobile apps, IoT beacons) and adapt to unique organizational needs.
Segmentation & Scoring
Provides core functionalities for segmenting audiences and applying scoring logics to understand and target customers effectively.
Reference Implementation of OASIS CXS Standard
Serves as the reference implementation for the upcoming OASIS Context Server Customer Data Platform (CDP) standard, promoting standardization and ethical web experience management.

Additional features

Java Open Source Server
A core server application built in Java, available as open-source software, enabling transparency and community contributions.
Manages Customers, Leads, and Visitors Data
Designed to collect, store, and manage data for all types of individuals interacting with a business, including anonymous visitors, identified leads, and existing customers.
Helps Personalize Customer Experiences
Provides the underlying data and decisioning capabilities necessary to tailor content, offers, and interactions for individual users.
Respects Visitor Privacy Rules (GDPR)
Includes built-in functionalities to manage user consents and comply with stringent data privacy regulations like GDPR.
First-Party Data Collection and Ownership
Allows organizations to collect and retain full ownership of their directly acquired customer data.
Persistent and Consolidated Profiles
Creates and maintains unified customer profiles that consolidate all known information, including both anonymous and personally identifiable data, over time.
Profile Aliases
Supports assigning multiple identifier aliases to a single customer profile, simplifying data merging and integration with diverse external systems like CRMs.
Real-Time Decisioning
Enables immediate, on-the-fly decisions and actions based on the most current customer data and context.
Regulation-Proof and Privacy Management
Designed with features to help businesses adhere to data protection laws and manage user privacy settings effectively.
Segmentation
Core capability to define, build, and manage dynamic customer segments based on various attributes and behaviors for targeted marketing and analysis.
Scoring Logics
Allows for the creation and application of scoring rules to customer profiles, indicating interest level, engagement, or readiness for specific actions.
Event Management
Provides robust handling of various customer events (e.g., page views, clicks, purchases), including validation against JSON schema, search capabilities, and optimized logging.
Session Management
Manages customer sessions, including Karaf Shell commands for viewing session data and using ElasticSearch rollover strategies for efficient session indexing.
Highly Scalable Architecture
Engineered to handle massive volumes of data and high concurrent loads, ensuring performance as operations grow.
ElasticSearch for Data Storage
Utilizes ElasticSearch as its primary data storage backend, offering dynamic schema capabilities and powerful search functionalities.
Apache Karaf™ as OSGi Runtime
Runs within the Apache Karaf OSGi runtime environment, supporting a modular and extensible architecture.
Full & Simple REST API
All interactions with the platform are exposed via a comprehensive and easy-to-use HTTP REST API, using JSON data formats for communication.
Extensible through Plugin Architecture
Supports extending its functionalities by developing and integrating plugins, leveraging OSGi and simple JSON descriptors.
Docker Support
Provides official Docker images, Docker Compose files, and centralized configurations for easy deployment and management in containerized environments.
JDK Support
Compatible with both JDK 8 and JDK 11, with JDK 11 being the default for Docker images.
Kafka Support
Offers initial support for consuming data from Kafka message brokers for scalable data ingestion.
Simplified Deployment
Designed for straightforward setup and installation, often requiring just an unzip and run command.
New Web Tracker
Features a modern, self-sufficient web tracker that replaces older versions, designed for direct use and easy extension.
GraphQL API (Beta)
Includes a new GraphQL API for advanced event input and object management, based on the OASIS CXS CDP Specification (deactivated by default for security).
Rule Engine Optimization
Improves performance by associating rules directly with event types in memory, ensuring only relevant rules are evaluated.
New JSON Schema Endpoint
Allows for direct validation of events against defined JSON schemas, ensuring data quality at ingestion.
Performance Improvements
Ongoing enhancements across the platform, including faster direct profile exports to CSV and optimized profile merge systems.
Patch System
A mechanism to improve the modification of default definitions for rules, segments, and other configurations.
Dependency Management
Regularly updates underlying libraries and dependencies (e.g., Log4j, Yauaa, JSON schema validator) to ensure stability, security, and performance.
Apache Open Source Project
Governed as an Apache Software Foundation project, fostering an open community, transparency, and welcoming contributions.
Reference Implementation of OASIS CXS Standard
Serves as a foundational implementation for the upcoming OASIS Context Server Customer Data Platform (CDP) standard, promoting industry-wide standardization.
Open Development
All project resources, including source code, mailing lists, and issue trackers, are openly accessible for community involvement and transparency.
Web Personalization Software
Can be used as a foundation to build applications that adapt website content based on audience behavior.
Mobile Application Data Collection
Facilitates tracking and understanding customer journeys by collecting data from mobile applications.
IoT Beacon Integration
Allows consolidation of customer and lead profiles across physical stores by connecting with IoT beacons.
CRM Integration for Lead Scoring
Enables automated pushing of qualified lead profiles to CRM systems when they reach a predefined score.

Pricing

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Countries & Languages

Global
Countries served
10
Interface languages
19
Billing currencies

Interface languages

ArabicChineseEnglishFrenchGermanItalianJapanesePortugueseRussianSpanish.

Billing currencies

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