Databrush
Based on the dataflow paradigm Renoir provides an ergonomic programming interface, similar to that of Apache Flink, but has much better performance characteristics
Discover the key features that make Renoir the ideal choice for your data processing needs.
Built with Rust, ensuring high performance and reliability. Renoir is designed to perform even in the most critical tasks.
Design to handle real-time data streams, Renoir is the perfect choice for companies that need to process data when they are generated.
Easily customizable to perform even the most complex tasks for every vertical scenario, making it the ultimate solution for your needs.
Optimized for speed and performance to ensure insights are delivered quickly and efficiently.
Designed with user-friendliness in mind, thanks to its high-level API, Renoir is easy to use and integrate with your existing infrastructure.
The engine of Renoir is open source, allowing the community to contribute and improve the platform.
Discover how Renoir can be used in different scenarios to solve complex problems.
Renoir is the perfect solution for data-driven companies looking to streamline their data processing workflows. Optimize you decision and forecast your trends by analyzing billions of data in real-time all without the high cost of traditional infrastructure. Renoir offers the tools and capabilities to help you achieve your goals.
E-commerce companies analyzing large volumes of transactions to optimize pricing strategies and predict market trends.
Insurance companies analyzing customer profiles to personalize policies and identify risks.
Telecommunications companies analyzing data from millions of devices for network monitoring and fault identification.
Renoir is the ideal solution for Industry 4.0 companies looking to optimize their monitoring processes. Reduce downtime and maximize efficiency with continuous machine monitoring and real-time data analysis, ensuring smooth and efficient operations. With Renoir, Industry 4.0 companies can achieve new levels of efficiency and productivity.
Production plants that continuously monitor machinery to optimize production and reduce downtime.
Energy sectors that analyze consumption and production data in real-time to balance loads and reduce waste.
Leverage Renoir and our expertise in the field to uncover new opportunities and optimize business strategies, even with limited existing infrastructure. With Renoir, you can transform your data into actionable insights and drive your business forward.
Small and medium-sized enterprises collecting data from CRM and social media but not utilizing it to identify market opportunities or optimize campaigns.
Public entities with archives of historical data not leveraged for predictive analysis or public service improvements.
The Renoir Engine is and always will be open source
Premium features for large-scale projects, tailored support
Hosted solution with additional features
You can start usign Renoir following the quick start guide in the documentation. It is easier than you think. If you need help, you can reach out to our support team.
Renoir is a powerful and flexible platform it is designed to scale with your company and adapt to your needs. This means that you can focus on what really matters: your business. It cuts down the time to market, operetional cost and allows you to make data-driven decisions.
Yes, the engine of Renoir is and always will be open source. You can try it and use it for free. Be part of our community and help us to improve the platform. If you need more from Renoir, you can always upgrade to the enterprise version.
Renoir is born after years of experience in designing distributed infrastructures for data analytics. We saw that there was a need for a real-time streaming framework that was easy to use, scalable and reliable; withouth reducing the performance. Renoir is the answer to that need. It is designed to be the ultimate solution for your data infrastructure.
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Today, data analysis drives the decision-making process in virtually every human activity. This demands for software platforms that offer simple programming abstractions to express data analysis tasks and that can execute them in an efficient and scalable way...
