From Whatsapp’s messaging to Uber’s geo-tracking to collaboration in Google docs: modern apps share data the second it becomes available. But the infrastructure required to do so is hard to build, harder to scale and a nightmare to keep in sync.
This is where deepstream comes in. It combines the power of a document oriented datastore with the speed of high performance message brokers. This creates a unique and scalable high performance platform that caters for a wide array of usecases and technologies:
- deepstream helps ticket merchants drive revenue by selling out venues within minutes using realtime seatmaps that incentivise users to pay higher prices for quickly filling slots.
- It reduces maintenance costs for electricity companies by enabling smart meters that continuously stream readings to a server without human intervention.
- Or it reduces risk by allowing microservices to instantly share state, increase availability and react to each other’s changes.
On average we help our users...
source: ds user survey 2016
cut backend development by
decrease time to market by
increase app revenue by
But we’re especially good when the going gets tough
deepstream originated from realtime trading middleware that investment banks use to stream prices, chart data and execution orders from and to end customers. It now caters for usecases as challenging as low latency finance, mobile multiplayer gaming or the industrial IoT.
How is it different from other realtime platforms?
You can find a detailed answer on our comparison page - but in a nutshell, deepstream isn’t just a messaging platform (although it is that too), it’s an extremely fast realtime document storage and synchronization network.