What Is Cortex Data Framework
Cortex is an open source streaming framework.
Cortex is designed from the ground up to simplify the creation and management of complex data streaming applications. With a focus on scalability, efficiency, and extensibility, it abstracts the low-level details so you can concentrate on what matters: building robust, real-time pipelines.
Key Features
1
Stream Processing Simplified
Define sources, sinks, and operators with intuitive APIs that reduce boilerplate code and accelerate development.
2
Rich State Management
Out-of-the-box support for in-memory and persistent state stores (e.g., RocksDB) to enable stateful computations like aggregations and windowing.
3
Built-in and Custom Operators
Leverage a library of operators—including transformations, filtering, aggregations, and windowing—or build your own to tailor Cortex to your needs.
4
Telemetry & Monitoring
Seamless integration with industry-standard telemetry frameworks (such as OpenTelemetry) to ensure you’re always in tune with your pipeline’s performance.
5
Error Resilience
Robust mechanisms to gracefully handle errors during pipeline execution, ensuring reliability in production environments.
Why Choose Cortex?
Developer Efficiency
Simplify complex workflows with an abstraction layer that accelerates development cycles.
Scalability and Performance
Achieve high throughput and low latency with optimized state stores and efficient operator chaining.
Flexible Architecture
Whether integrating with existing systems or building new solutions, Cortex adapts to your workflow.
Production Ready
Engineered for real-world challenges, Cortex handles concurrency, persistence, and fault tolerance effortlessly.
Discover Buildersoft Cortex
Seamless Integration
Cortex fits effortlessly into your existing data ecosystem:
- Data Sources | Connect to popular message brokers like Kafka or leverage custom source operators.
- State Management | Choose between in-memory or persistent stores (such as RocksDB) for your performance needs.
- Monitoring Tools | Integrate with standard telemetry systems to keep track of pipeline health and metrics.
Catalogs
Core Use Cases
Real-Time Analytics
Analyze user activity, IoT sensor data, or any high-volume stream in real time.
Event-Driven Systems
React to events dynamically by triggering actions based on aggregated or filtered data.
Session Management
Maintain stateful sessions for applications such as chat systems, gaming, or customer interactions.
Streaming Data Transformation
Convert raw data streams into enriched, consumable formats for downstream systems.