Feature | Description |
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| Extremely High Performant Processing Engine | - Process about 100K+ events per second on single-server commodity hardware
- Powered by WSO2 Siddhi
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| Data aggregation | - Receives data from event sources through Java agents (Thrift, Kafka, JMS), JavaScript clients (Web Sockets, REST), to IoT (MQTT), and also from WSO2 Enterprise Service Bus Connectors.
- Publishes events to one API for real-time, batch or interactive processing.
- Ability to access the analytics service via comprehensive REST API.
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| Powerful and Extensible Query Language for Temporal Event Stream Processing | - SQL-like query language
- Filters events by conditions
- Creates new event streams by merging existing event streams
- Executes temporal queries using various windows
- Detects and responds to various event patterns and sequences
- Instigates with In-Memory and RDBMS data stores for correlating historical data with real-time
- Partitioning support to achieve parallel processing
- Maintenance of execution plan templates
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| User-friendly Execution Management | - Suitable for business users to edit and manage realtime execution logic
- Users interact with forms instead of with SQL QueriesÂ
- Queries and logics are templated to hide the complexity
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| Support for Rich Event Model | - Events are modelled as tuples of metadata, correlation data and payload data.
- Support for different property types including integral types, floating types, string and Boolean
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| Extremely High Performant Event Capturing and Delivery Framework Over Binary and Apache Thrift | - Java data publisher agent to plug into any Java based system
- Data publisher agent support in other languages (C/C++/C#) via Thrift language bindings
- Horizontally scalable to support very large event volumes
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| Supports Multiple Alert Notifying Mechanisms | - XML, JSON, Map, Text events via JMS protocol
- E-mail, SMS notifications
- Service calls to notify RESTful and Web services
- MySQL and Cassandra writers
- Kafka, MQTT, File, Websocket protocols supporting JSON, XML and Text messages alerts
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| Easily Integrates with any Enterprise System for Event Capture | - RESTful HTTP protocol with JSON, XML and Text message formats
- Map, JSON, XML and Text messages support via JMS
- SOAP over any transport protocol
- Kafka, MQTT, File, Websocket and Email protocols with JSON, XML and Text messages
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| IoT (Internet of Things) Integration | |
| Debugging Support | - Event tracing, Event Flow visualization and Event Simulation capabilities
- Siddhi TryIt to try out Siddhi queries
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| Massively Scalable | - Distributed Real Time Processing
- Support highly scalable deployments with Apache Storm and WSO2 SiddhiÂ
- Deploys numbers of queries partitioning them into different servers
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| Highly Available Deployment | - Run DAS in active-passive deployment with zero downtime
- Coordinates event and state sharing
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| Support for Long Duration Queries | - Queries can have lifetimes that are much greater than server uptime
- Supported via HA deployment and persistence snapshot deployment
- Support periodic snapshots that can store all state information and windows to a scalable persistence store
- Pluggable persistent stores
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Integrated, real-time, and batch analytics
| - Analyses both persisted and realtime data using a single product.
- Fast execution of batch programs using Apache Spark.
- Detects patterns (fraud detection) by correlating events from multiple data sources in real time using the high performing, open source WSO2 CEP engine powered by WSO2 Siddhi.
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Interactive analytics and edge analytics | - Searches for full text, complex query lookup, distributed indexing support using Apache Lucene for interactive analytics.
- Correlates/filters events at the edge for edge analytics.
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High level language and data storage
| - Use of a structured easy to learn SQL-like query language.
- Develops complex real-time queries using SQL-like Siddhi query language.
- Scalable analytic querying using Spark SQL.
- Support for RDBMS (MSSQL, Oracle, MySQL) as data storages for low to medium scale enterprise deployments.
- Support for HBase and Cassandra as NoSQL storage for Big Data enterprise deployments.
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Extensibility using C-Apps
| - Industry/domain-specific toolboxes to extend the product for business use cases such as fraud detection, GIS data monitoring, activity monitoring etc.
- Ability to install C-Apps for each WSO2 middleware product, including the analytics functionality available with WSO2 API Manager.
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| Built-in Support for WSO2 Products | - Pre-built event sources from other WSO2 products
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Communication
| - Possibility to create custom dashboards and gadgets that provide an at-a-glance view as well as an detail view.
- Detects conditions and generate realtime alerts and notifications (email, SMS, push notifications, physical sensor alarms etc.)
- Exposes event tables as an API via WSO2 API Manager and WSO2 Data Services Server.
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| Manage and Monitor | - Comprehensive management and monitoring Web console with enterprise-level security
- Built-in collection and monitoring of standard access and performance statistics
- Flexible logging support with integration to enterprise logging systems
- In build support for rich representation of data via a dashboard
- Simulating capabilities via the Event Simulator.
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