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Streamr search trends in Google
Streamr delivers unstoppable data to unstoppable applications. It is the real-time data backbone
of the global supercomputer. It is a decentralized network for scalable, low-latency,
untamperable data delivery and persistence, operated by the DATAcoin token. Anyone — or
anything — can publish new data to data streams, and others can subscribe to these streams to
power Ðapps, smart contracts, microservices, and intelligent data pipelines.
To incentivize user participation in the network, there's a built-in mechanism for data
monetization. Valuable data from security exchanges, connected devices, IoT sensors, and
social media can be offered to companies, developers, and private citizens. Machines can
autonomously sell their data, get paid, and purchase the data they require. A global market for
real-time data emerges, with built-in data provenance, encryption, and access control.
Alongside the decentralized data network and marketplace, the full Streamr stack includes a
Real-time data will increasingly turn into a commodity in the coming years. Huge volumes of
timestamped data is being generated by sensors and connected devices in manufacturing, the
service sector, and the entire supply chain which underlies the modern economy, with much of
the data generated in a streaming fashion
The amount of data is increasing exponentially along the growth of IoT and the ubiquity of
connected devices. In the global IoT market, IHS Markit forecasts
3 that the installed base will
grow from 15.4 billion devices in 2015 to 30.7 billion devices in 2020 and to 75.4 billion in 2025.
Much of the newly generated data is valuable: It can be used to optimise manufacturing
operations, track assets with increasing accuracy, target existing consumer services with high
granularity, and create entirely new services and business models.
At the same time, there is a megatrend in motion towards the next generation of the computing
stack. In a distributed...
incentivise computers in a global peer-to-peer (P2P) network. This is a network which provides
low-latency, robust and secure data delivery and persistency, and all at scale. Ðapps of the
future are fuelled by data, and our mission is to make sure that the data keeps on flowing.
We also create a market for real-time data. In the data market, anyone can publish events to
data streams, and anyone can subscribe to streams and use the data in decentralized apps.
smart contracts. A digital token — a DATAcoin — is needed to access and operate the data
market, and to compensate nodes in the
P2P network. Subscribers pay for the data with the
token, and data producers and network participants are reimbursed automatically and securely.
Our stack is built on a decentralized transport layer. Apart from greater robustness, resilience
and fault tolerance, decentralization facilitates openness, transp...
Streamr Smart Contracts enable nodes in the Streamr network to reach consensus,
hold stream metadata, handle permissioning and integrity checking, and facilitate secure
The following section goes through each layer of the stack (see Figure 1) in detail, following a
Figure 1. Streamr technology stack.
2.1 Streamr Editor
Streamr Editor enables rapid development of data-driven smart contracts, lowers
the threshold for Ðapp creation, and comes with ready-made templates for
common use cases built in.
There is considerable interest in the blockchain and decentralized applications within the
business community, but the number of real-life use cases remains limited. These are the early
days, and it is not unreasonable to postulate that many of those who want to get involved are
not deep experts in the minutiae of Ethereum, Solidity, encryption, data provenance, and other
In our view, the commercial growth of the ecosystem requires tools which allow non-experts to
set up smart contracts, connect to trusted data sources, make use of secure off-chain modules
for data filtering, aggregation, and refinement, deploy decentralized applications, track smart
contract execution, and visualise the flow of input data and blockchain events.
We address the need for a usability layer by providing powerful tools (such as an easy-to-use
visual editor), wrappers, and smart contract templates which are targeted at domain
professionals and business users. These tools hide the deep technology under the hood, handle
the data integrations and communications, and automate the routine steps in the deployment
and monitoring of smart contracts.
We foresee an ecosystem where there are several usability platforms and tools available. The
existing Streamr platform already implements some elements of the usability layer, with more
functionality being added in the coming months and years. The aim is to ...
● A visual editor for creating smart contracts, feeding in real-world data, and constructing
off-chain data processing pipelines.
● Modules for communication with smart contracts and interacting with the blockchain.
● Modules for off-chain processing: Data filtering, refinement, and aggregation,
deployment of decentralized applications, tracking smart contract execution, and
visualising the flow of input data and blockchain events.
● A Solidity editor where the smart contract code can be written and modified in a
● Built-in and tested open source Solidity templates for different use cases of Ethereum
● Playback functionality for simulating smart contract functionality, debugging contract
code, and testing functionality before deployment.
● One-click deployment to submit a smart contract in either a testnet or in the mainnet.
2.2 Streamr Engine
Streamr Engine is the high-performance analytics engine that executes off-chain <...
A streaming analytics layer is needed to turn raw data into refined information and ready for
consumption by Ðapps and smart contracts. Raw data may need to be filtered, downsampled,
aggregated, combined with other data, run through anomaly detection algorithms, or processed
by advanced machine learning and pattern recognition models. Or you may want to do things
which simply cannot be done in smart contracts, such as calling external APIs as part of the
The Streamr Engine listens to events on the Streamr Network, and models built using the
Streamr Editor refine incoming data and react to new events in real time. There are many ways
to react, including the following:
● Publishing refined data in another stream in the Streamr Network, perhaps shown in
real-time by a Ðapp UI also connected to the network.
● Interacting with an IoT device, for example controlling an actuator, opening a lock,
turning the lights on, or calling the elevator.
● Sending an alert via email o...
● A stock market generates a new event every time there is a new bid or offer, and every
time a trade takes place.
● A public transport vehicle broadcasts its identity, status, speed, acceleration,
geolocation, and heading every few seconds.
● A motion detector transmits a signal when a moving object is detected in its range.
● IIoT sensors attached to an electrical drive measure the temperature, speed, and
vibrations during the drive operation in a smart factory.
● Air quality sensors measure carbon monoxide, sulfur dioxide, nitrogen dioxide, and
ozone levels in an urban area.
● Seismometers measure ground motion in an area with volcanic activity.
● Smart clothing worn by professional athletes collects biometric data such as the
heartbeat, temperature, and acceleration.
The data market makes a wide selection of trustworthy timestamped data available for
subscription. Some of the data is sourced from established and professional data vendors and
redistributors, and some ...