Best Event Stream Processing Software for Cloud

Pathway is a Python ETL framework for stream processing, real-time analytics, LLM pipelines, and RAG. Pathway comes with an easy-to-use Python API, allowing you to seamlessly integrate your favorite Python ML libraries. Pathway code is versatile and robust: you can use it in both development and production environments, handling both batch and streaming data effectively. The same code can be used for local development, CI/CD tests, running batch jobs, handling stream replays, and processing data streams. Pathway is powered by a scalable Rust engine based on Differential Dataflow and performs incremental computation. Your Pathway code, despite being written in Python, is run by the Rust engine, enabling multithreading, multiprocessing, and distributed computations. All the pipeline is kept in memory and can be easily deployed with Docker and Kubernetes.

Tray.ai is an API integration platform that allows users to innovate, integrate, and automate organization with no developer resources needed. Tray.io enables users to connect their entire cloud stack on their own. With Tray.ai, users can easily build and streamline processes with a specifically designed visual workflow editor. Tray.io also empowers the users' workforce with automated processes. The intelligence powering the first iPaaS that everyone can use to complete business processes using natural language instructions. Tray.ai is a low-code automation platform designed for both non-technical and technical users to create sophisticated workflow automations that facilitate efficient data movement and actions across multiple applications. Our low-code builder and new Merlin AI transform the automation process by bringing together the power of flexible, scalable automation; support for advanced business logic; and native generative AI capabilities that anyone can use.

Connecting systems to scale AI initiatives is complex, expensive, and prone to fail. Pandio’s cloud-native managed solution simplifies your data pipelines to harness the power of AI. Access your data from anywhere at any time in order to query, analyze, and drive to insight. Big data analytics without the big cost. Enable data movement seamlessly. Streaming, queuing and pub-sub with unmatched throughput, latency, and durability. Design, train, and deploy machine learning models locally in less than 30 minutes. Accelerate your path to ML and democratize the process across your organization. And it doesn’t require months (or years) of disappointment. Pandio’s AI-driven architecture automatically orchestrates your models, data, and ML tools. Pandio works with your existing stack to accelerate your ML initiatives. Orchestrate your models and messages across your organization.