The most straightforward usage of Streamdata.io we see is when API providers take the initiative to offer a streaming version of their APIs for your heaviest users. Providing not just a streaming version of their most used APIs, but also providing a single, cached, push-enabled version of their API. Something that goes beyond just being real time, and is about reducing the burden on API servers, being more efficient about delivering data to your consumers, and in the right situation, generate a new revenue stream for your existing API stack.
Streamdata.io is a SaaS and on-premise proxy that you can use to cache and more efficiently push your existing API data to consumers using a web standard called Server-Sent Events (SSE). Many new customers think we are just a streaming data service, but that is just the tip of the iceberg when it comes to what we do. While real-time, persistent API connections are the result, the benefits become more about reducing the load on API servers than it is just about streaming real-time data to the browser into Machine Learning models and data lakes. It is about changing the behavior of your heaviest API consumers and being more efficient in how you provide them with the data they need — moving beyond just a request and response model for the most demanding of them. https://goo.gl/ZuXspf #DataIntegration #ML
