countly/countly-server
Countly Server
Countly is a self-hosted product analytics and engagement platform that tracks user behavior across mobile, web, and desktop applications. It collects and analyzes device properties, user actions, and session lifecycle data to understand engagement patterns, while also providing crash reporting, push notification delivery, and A/B testing capabilities. The platform is designed for privacy-first deployment, with built-in consent management and the ability to run entirely on private infrastructure.
The platform distinguishes itself through its comprehensive feature set that combines analytics with engagement tools. It offers session management with automatic, manual, and hybrid tracking modes, event recording with timing and segmentation, and user profile management across sessions. Countly includes an AI-powered analytics assistant for querying data, customizable dashboards and reports, user journey building and analysis, and in-app feedback collection through surveys and rating widgets. The platform also supports remote configuration of application behavior without requiring new releases, and provides edge-side data collection for reduced latency.
Countly's architecture is plugin-based and modular, allowing extensibility through custom plugin development. It supports batch event processing, queue-based offline delivery with retry, and SHA-256 request integrity protection. The platform includes bot traffic detection to prevent data pollution, and offers data export capabilities through webhooks and email. For deployment, Countly provides one-line script installation, Docker and Kubernetes support, and offline installation for air-gapped environments.
Features
- Self-Hosted Analytics Platforms - Installs and manages the analytics platform on private infrastructure for data sovereignty.
- Privacy-Focused Analytics - Provides a self-hosted analytics platform with built-in consent management for data sovereignty.
- A/B Testing - Runs experiments on user segments and measures how variations affect key metrics to optimize features.
- User and Project Administration - Manages system configuration, user accounts, and organizational settings through a dedicated interface.
- Custom Event Definitions - Logs user actions with optional count, sum, duration, and segmentation for dashboard analysis.
- Product Analytics Platforms - Ships a comprehensive product analytics platform for capturing and visualizing user behavior data.
- Consent-Based Feature Gates - Requires explicit user permission before activating analytics features, with per-feature group consent management.
- SDK Client Initialization - Configures server URL, app key, and device ID to establish analytics reporting.
- SDK Integrations - Connects applications to the analytics platform using language-specific client libraries for automatic event tracking.
- Administrative Site Settings - Manages system configuration, user roles, and administrative functions of the analytics server.
- Platform Administration - Manages user accounts, roles, settings, and other administrative tasks for the analytics platform.
- Cross-Platform Push Notification Campaigns - Delivers targeted push notifications to users through integrated SDKs to drive re-engagement and retention.
- Mobile App Analytics - Instruments mobile, web, and desktop applications with client libraries to report usage data and crashes.
- Session Lifecycle Management - Manages user session lifecycle with automatic, manual, and hybrid tracking modes.
- Authentication and Authorization - Controls who can access the platform and what actions they are permitted to perform based on roles.
- Consent Management - Requires explicit consent before enabling any feature group and allows granting consent during initialization.
- User Profile Management - Stores and retrieves persistent user attributes and custom properties across sessions.
- Data Privacy Compliance - Handles user consent collection and data subject requests to meet privacy regulations for analytics data.
- Plugin-Based Extensibility - Adds or modifies features through a plugin-based architecture to customize the analytics platform.
- Plugin-Based Architectures - Built on a plugin-based architecture that extends core functionality by loading optional modules at runtime.
- Analytics Platforms - An AI-powered platform for tracking user behavior and optimizing customer journeys across digital applications.
- Multi-Feature SDK Instrumentations - Provides a single SDK that instruments analytics, push, crashes, profiles, A/B testing, and feedback widgets.
- Client-Side Analytics Instrumentation - Provides officially maintained client libraries for integrating analytics, crash reporting, push notifications, and feedback into apps.
- Session Tracking - Automatically begins, updates, and ends user sessions based on app lifecycle events.
- System Setting Configurations - Adjusts system-level configurations, manages data exports, and performs administrative maintenance tasks.
- User Behavior Analytics - Collects and analyzes user actions from mobile, web, and desktop applications to understand engagement.
- Scheduled Report Deliveries - Triggers automated email delivery of analytics reports and alerts on a configurable schedule.
- AI-Powered Data Assistants - Provides an AI-powered assistant to query analytics data and get insights via natural language.
- Custom Plugin Development - Creates new analytics features by building plugins that integrate with the platform's API and data models.
- Device Metadata Collection - Collects device properties like OS, screen resolution, and app version for analytics segmentation.
- Data Reporting - Provides built-in reports, customizable dashboards, and scheduled email alerts for data analysis.
- Analytics Configuration - Configures core analytics capabilities to track user behavior and events.
- Data Export - Provides automated data export to external systems via email and webhooks for further processing.
- Webhook Delivery - Forwards analytics data to external systems through email or webhook integrations for further processing.
- Event Definition Managers - Plans and manages events and their segmentations through a dedicated data manager interface.
- Data Ingestion APIs - Provides a well-defined write API for ingesting data from any source into the analytics platform.
- Data Visualization Dashboards - Provides built-in reports and customizable dashboards to visualize and analyze collected data.
- External Data Ingestion - Provides a write API for ingesting data from any external source into the analytics platform.
- Read API Data Retrievals - Provides a read API for programmatic retrieval of any information visible in the analytics dashboard.
- Analytics Feature Toggles - Provides toggles to enable or disable analytical and operational features as needed.
- Offline Installers - Installs the analytics platform and all dependencies automatically on air-gapped servers using a pre-packaged installer.
- Plugin Lifecycle Management - Enables or disables plugins through a JSON configuration file and a central plugin manager.
- User Feedback Systems - Gathers and organizes user feedback through surveys and ratings to inform product decisions.
- Docker Container Deployments - Runs the analytics platform in Docker containers or Kubernetes clusters for both standard and enterprise editions.
- Kubernetes Deployments - Deploys the analytics platform inside a container or orchestrated cluster using provided Docker images.
- Air-Gapped Cluster Deployments - Bundles all required dependencies into a self-contained installer for environments without internet access.
- Docker Deployments - Runs the analytics platform in a containerized environment using Docker images.
- One-Click Installers - Downloads and installs the analytics platform on Ubuntu or CentOS with a single command.
- Analytics - Guides installation, configuration, and maintenance of the analytics server infrastructure.
- Hybrid - Provides hybrid session control combining manual lifecycle calls with automatic duration updates.
- Remote App Configurations - Ships a remote configuration system to adjust app behavior without new releases.
- Analytics Server Management - Installs, configures, and maintains the analytics server to ensure reliable data collection and processing.
- Multi-Platform Push Notifications - Delivers targeted push notifications to users through integrated SDKs on supported platforms.
- Self-Hosted Push Notification Platforms - Includes a push notification delivery system integrated with the analytics SDK for re-engagement campaigns.
- Event Data Governance - Manages event planning, consent collection, and data subject requests for privacy compliance.
- Email-Password Authentications - Provides email and password authentication for accessing the analytics platform.
- User Access Controls - Manages user access and application permissions within the analytics platform.
- User Access Management - Manages user accounts, application access, and permission settings across the platform.
- User Journey Flow Planners - Designs and analyzes multi-step user flows and in-app content to optimize engagement.
- Batch Event Processors - Combines multiple recorded events into a single request when the event queue reaches a configurable threshold.
- Background Task Schedulers - Runs background tasks for data maintenance, exports, and system health checks.
- Modular Feature Architectures - Organizes SDK features into separate modules with defined interfaces.
- Offline Request Management Systems - Stores outgoing analytics requests persistently and retries them in order until the server confirms delivery.
- Programmatic Access APIs - Provides read and write APIs for programmatic retrieval and submission of analytics data.
- Offline Request Queues - Queues failed analytics requests persistently and retries them in order upon reconnection.
- Crash Reporting - Captures crash and error reports from mobile, web, and desktop platforms for debugging.
- Crash Reporters - Automatically captures application crash data through SDK instrumentation for debugging.
- Custom Metric Dashboards - Creates and views built-in reports and customizable dashboards to monitor key metrics.
- Edge Data Collection Servers - Ships a dedicated edge server component for collecting analytics data closer to users.
- Analytics - Provides customizable analytics dashboards with built-in reports and scheduled email alerts.
- In-App Feedback Widgets - Gathers opinions and ratings from users through in-app surveys to measure satisfaction.
- Timed Event Recording - Measures duration of user actions by starting and stopping timers for event tracking.
- User Journey Mapping - Provides tools for designing and analyzing multi-step user flows to optimize engagement across touchpoints.
- Science and Analytics - Analytics platform for tracking mobile and web engagement.
- Analytics Platforms - AI-powered platform for tracking customer journeys and engagement.
- Databases & Data - Product analytics platform.
- Application Frameworks - General-purpose analytics platform for tracking mobile and IoT device data.
- Applications - Mobile and web analytics platform.
