DataFlow use cases

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Fluxtion supports all the functionality of a stream processing engine and can be used in many situations. As the world has moved to expect real time responses the requirements to deploy stream processing is now a requirement. A busineess that relies on end of day batch processing is not positioned for today’s customer demands.

• Real time pricing
• Inventory management
• Realtime monitoring and system control
• Low latency algo trading
• Realtime offers
• Fraud detection
• Ai integration for realtime decsison making
• Data pipelines batch and realtime
• Realtime data cleansing
• Risk compliance and trade control
• Realtime stream processing
• Event driven microservices
• Edge AI processing

Freedom and power for real-time business

Take control of your real-time data processing with Fluxtion. Unlike other solutions that lock you into a specific messaging system, Fluxtion offers unmatched flexibility and vendor neutrality.

Focus on what matters most - your core business logic. Fluxtion keeps your business logic separate from the underlying messaging infrastructure. This means you can easily switch messaging providers without rewriting code, giving you the freedom to choose the best solution for your needs.

Fluxtion is tailor-made for organisations seeking

• Cost-Effective Integration: Effortlessly integrate stream processing into your existing system, maximizing your current investment.
• Real-Time Big Data Processing: Handle massive data streams with ease, ensuring you get insights from your data the moment it arrives.
• Multi-Messaging System Support: Fluxtion seamlessly ingests data from various messaging systems, eliminating the need for complex data plumbing.
• Batch Big Data Processing: Slash those big data queries costs, store data in tables, generate reports cheaply with Fluxtion.
• AI/ML on a Budget: Integrate AI and Machine Learning models cost-effectively, unlocking powerful real-time analytics.
• Business Logic to the Rescue: Re-use your existing business logic within the stream processing engine, accelerating development and reducing costs.
• Nanosecond Performance: Zero garbage collections and blazing-fast response times in the nanosecond range, perfect for demanding applications.
• Edge AI Made Simple: Deploy Fluxtion directly on edge computing devices for real-time AI inference, bringing intelligence closer to the data source.
• Strict Control, Complete Transparency: Operate in strictly controlled and auditable environments, ensuring security and compliance.
• AOT Compiled for Easy Distribution: Redistribute the Fluxtion engine with your application for seamless deployment.

Stream processing comparison matrix

Feature comparison	Fluxtion	Kafka	Spark	Google cloud flow
Message system independent	✅	❌	❌	❌
Free of vendor lock-in	✅	❌	❌	❌
Optimised to reduce costs	✅	❌	❌	❌
Integrate stream processing with no infrastructure change	✅	❌	❌	❌
Integrate existing imperative code into stream processing	✅	❌	❌	❌
Edge computing deployable	✅	❌	❌	❌
Low latency response times	✅	❌	❌	❌
AOT compiled for fast startup	✅	❌	❌	❌
Zero gc to reduce operating costs	✅	❌	❌	❌
Auditable engine deployment compatible with git	✅	❌	❌	❌
Auditable event logs	✅	❌	❌	❌
Event sourcing replay supported	✅	❌	❌	❌
Create distributable exe for pipeline integration	✅	❌	❌	❌
Supports service api’s for non event based deployment	✅	❌	❌	❌