4 most popular blockchains -analysis and comparison of Ethereum, Hyperledger Fabric, Corda and Quorum

Maciej Zieliński

03 Apr 2020
4 most popular blockchains -analysis and comparison of Ethereum, Hyperledger Fabric, Corda and Quorum

You have been interested in blockchain for some time now and are wondering if you could use it in your business model? Undoubtedly it is a technology which has recently gained popularity and which usability in the real estate and entertainment has been found pretty quickly. Among the companies present on the AngelList around 3 thousand use Blockchain. On our Nextrope blog we are trying to explain the most effective ways in which it can be used in business. In this article we compared the 4 most popular protocols- Ethereum, Hyperledger Fabric, Corda and Quorum.

Ethereum

Ethereum is a developer platform based on the blockchain technology which was founded in 2015 by Vitalik Buterin. It allows the creation of decentralised applications which use the smart contracts.

Ethereum was the first blockchain which started to use smart contracts- fragments of Solidity code. Those contracts are called out by EVM, which is the core of Ethereum. Those contracts cannot interact with the surroundings and cant be activated without an input, they must be called out externally. If their function is called out by one of the chains, it automatically carries out the rest. The effects can be seen by the entire network. Thanks to that it is possible for Ethereum to create decentralised applications.

Because the code of established contract cannot be influenced, it is only available for read-only. In order to change it a complete overhaul would be required by establishing a new, completely different code of a different address and the initial state of the variables. The contract cannot be stopped after its execution unless it has been written in its code. Any of the operations on the record of the smart contract are openly logged and can be read through many available blockchain explorers. That way it is guaranteed that the coded information, value or function shall be constant. It is sometimes called „law by code”-creating the law with the usage of the source code.

Ethereum guarantees the constancy of the data and consequently its reliability in the processes of blockchain and smart contracts. That way the need of engaging the third party disappears. It brings many advantages as it grants its users the ability to make transactions directly with the clients, quickens the process of entering into the contract and lowers the costs of increasing the reliability of data.

“We live in the era in which there is no trust, which is why we are creating the third parties which we give our trust to. We send them our data, information, wealth or identity because we want to carry out some common interest and create a positive value. Blockchain will have its use the moment we will be able to fully embrace the cheap, trustful method it can give us”

                                           Maciej Jędrzejczyk IBM Blockchain Leader interview with Nextrope 



Dapps also allow us the reduction of the need of administrative control, for example the business entity which establishes the platform, over the entire network. Very often it finds its use in the b2c relationship. We recently had an occasion to present the examples on how OPUS (which is based on Ethereum) can change the entertainment market. 
Thanks to the decentralization, the safety of data is no more dependant on the single server. If it is destroyed in one of the chains, they still will exist in all the other ones. We already talked about the superiority of the decentralization when it came to land registers which, at the moment, are held in a centralised way which makes them vulnerable towards the random events such as the natural catastrophes or fires. The constant nature of the source code also makes the data invulnerable towards the hackers.

Another advantage behind Ethereum is the tokenisation layer. Token is a smart contract which has a standardised form which stands for a unit of value. Companies create it to make it possible for the users to interact with their products and to make the distribution of prizes and benefits easier. Tokens can be used for accounting the property rights, pay checks or to give the bonuses to old-time clients. Their usage is as broad as the company needs it to be.

Ethereum is the only blockchain in this article that has its own cryptocurrency- Ether. In order to send the data, the user must give the pay- gas for saving it. In order to do this  the user must have his own e-wallet key. Smart contract alone will not be enough to carry out the transaction unless its carried out through the e-wallet.

Hyperledger Fabric

As it turns out, it is not optimal for each user to keep a decentralised registry. Having the privacy of data in mind, in 2018 the Linux foundation has founded the Hyperledger Project which is currently supported by IBM, Intel or SAP Ariba which develops a number of solutions, which also includes the most frequently used Hyperledger Fabric.

Thanks to its modularity, it can be used as a private blockchain which means that only the registered users will be capable of accessing the data which is held by it. It is a key factor when it comes to many companies which are keen on the exchange of data about the transactions between the trusted sides. 

https://www.youtube.com/watch?v=1ORrdusUzeg


The difference in practice

For the purpose of explanation of how Hyperledger works lets imagine a regular Jan who has his own blockchain based shop in Warsaw. Recently he found a Chilean producer of avocado- Emilia. They manage to negotiate a special prize, but Emilia wants to keep this a secret, she wants her clients to still pay the full prize for her prized avocados.

This would be impossible if their transaction was registered in the public domain of blockchain. The other clients would be immediately alarmed of this situation. The transaction would not be even carried out because all of the parties would have to agree on the price.

Hyperledger allows us to solve this problem. The application based on it will check the identity of Jan and then it will send the data about the transaction to Emilia. After agreeing to the established terms, she would send the data back to Jan, and so the transaction could be saved on their registry. In such a situation only two sides of transaction must receive the results. When there is more of them, after the terms are accepted, the transaction deal will be sent to the cloud server where they will be able to accept the transaction after reaching consensus. Then the transaction is saved in the registry.

However, just delivering the avocado to Jans shop engages not only him, but also its producer and many other parties. For the fruit to be delivered to Warsaw the engagement of the shipping agent, the custom and  harbour department and the insurance company which will ensure that the transaction will be secured. The majority of those parties do not need the information about the special prize of avocados. Thanks to Hyperledger, such a transaction can be carried out without the need to use all of the information.

Thats why it finds its use everywhere where privacy and flow of information without the need to share it with all the sides of the transaction is needed. Hyperledger Fabric has its use in the number of different industries, including the financial, logistic and even the food one.

Corda

Another solution which extends the topic of private blockchain networks is Corda, founded by the R3 corporation. The goal of its creation was to create a global registry which would allow the economic operators to interact with each other and manage their contracts. In order to make this possible the platforms architecture must be based on the following principles:

  • Only parties which have justified interests should have access to the registries on the platform
  • The contracts are sustained through the system which is made with the usage of the computer code which makes it so that they are used in accordance to law
  • The consensus is reached out by the people who carry out the transactions, not the entire system 


Platforms like Hyperledger and Ethereum are using smart contracts, however in case of Corda the leading language of their encryption is Kotlin, and the smart contract terminology is replaced by just “contract”. Such contracts use both logic and business data with the judicial process which allows for rooting of the contracts in the existing judicial system.

Corda has two types of consensus: validity of the transaction and the uniqueness of the transaction. In order to acquire the first one, the sides must reach the certainty by checking the entire code behind the contract and by delivering all of the required signs. As far as the second one is concerned, they verify if the transaction is a unique consumer of all of the information.

Quorum

The finance world in mind  sees blockchain as both a chance and a risk. The stability and ease of verification of data is conflicted by the model of public transparency which is opposed by some institutions. Quorum is the platform created by JP Morgan. It is an Ethereum which was improved by the layer of privacy which allows the use of blockchain without the need of making your data public to all of the users.

Just like Corda, it’s a private blockchain, which is created only by the users which were verified by the special program. Quorum can differentiate the private and public transactions in the chain and allow them to appear in one blockchain network. Public ones act like transactions based on Ethereum, however,  the private ones are operated by the system called Constellation. It’s a mechanism which doesn’t use the blockchain technology.  It is based on encryption of the messages on the communication mechanism called enclave – which is the record of the previous transactions, authentications and verifications. Thanks to this, Constellation Quorum is able to process several hundred transactions per minute, much faster than Ethereum or Bitcoin.

Thanks to its reliability and privacy it provides, it’s the perfect solution for the financial sector. Even today it has been recognized by the National Bank of Canada, Central Bank of Brazil or the commercial projects like Adhara or Skeps. It can also be seen that many international companies like Starbucks see the potential behind this technology and are eager to experiment with it.


What is the best blockchain for your business?

The key advantage of every one of aforementioned blockchain solutions is the way in which they solve the problem of a distrust. The companies could possibly save money by investing at the decentralised apps which would allow to save time and give an ability to verify the relations between the parties remotely.

The choice of the platform should be dictated by your current needs. Most b2c companies like facebook ebay or amazon use ethereum which they used to create their own cryptotokens. Hyperledger is chosen mostly by b2b companies which seek to improve their relations. And finally, Corda and Quorum are chosen by financial sector and are used by institutions such as the National Bank of Canada.

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Nextrope on Economic Forum 2024: Insights from the Event

Kajetan Olas

14 Sep 2024
Nextrope on Economic Forum 2024: Insights from the Event

The 33rd Economic Forum 2024, held in Karpacz, Poland, gathered leaders from across the globe to discuss the pressing economic and technological challenges. This year, the forum had a special focus on Artificial Intelligence (AI and Cybersecurity, bringing together leading experts and policymakers.

Nextrope was proud to participate in the Forum where we showcased our expertise and networked with leading minds in the AI and blockchain fields.

Economic Forum 2024: A Hub for Innovation and Collaboration

The Economic Forum in Karpacz is an annual event often referred to as the "Polish Davos," attracting over 6,000 participants, including heads of state, business leaders, academics, and experts. This year’s edition was held from September 3rd to 5th, 2024.

Key Highlights of the AI Forum and Cybersecurity Forum

The AI Forum and the VI Cybersecurity Forum were integral parts of the event, organized in collaboration with the Ministry of Digital Affairs and leading Polish universities, including:

  • Cracow University of Technology
  • University of Warsaw
  • Wrocław University of Technology
  • AGH University of Science and Technology
  • Poznań University of Technology

Objectives of the AI Forum

  • Promoting Education and Innovation: The forum aimed to foster education and spread knowledge about AI and solutions to enhance digital transformation in Poland and CEE..
  • Strengthening Digital Administration: The event supported the Ministry of Digital Affairs' mission to build and strengthen the digital administration of the Polish State, encouraging interdisciplinary dialogue on decentralized architecture.
  • High-Level Meetings: The forum featured closed meetings of digital ministers from across Europe, including a confirmed appearance by Volker Wissing, the German Minister for Digital Affairs.

Nextrope's Active Participation in the AI Forum

Nextrope's presence at the AI Forum was marked by our active engagement in various activities in the Cracow University of Technology and University of Warsaw zone. One of the discussion panels we enjoyed the most was "AI in education - threats and opportunities".

Our Key Activities

Networking with Leading AI and Cryptography Researchers.

Nextrope presented its contributions in the field of behavioral profilling in DeFi and established relationships with Cryptography Researchers from Cracow University of Technology and the brightest minds on Polish AI scene, coming from institutions such as Wroclaw University of Technology, but also from startups.

Panel Discussions and Workshops

Our team participated in several panel discussions, covering a variety of topics. Here are some of them

  • Polish Startup Scene.
  • State in the Blockchain Network
  • Artificial Intelligence - Threat or Opportunity for Healthcare?
  • Silicon Valley in Poland – Is it Possible?
  • Quantum Computing - How Is It Changing Our Lives?

Broadening Horizons

Besides tuning in to topics that strictly overlap with our professional expertise we decided to broaden our horizons and participated in panels about national security and cross-border cooperation.

Meeting with clients:

We had a pleasure to deepen relationships with our institutional clients and discuss plans for the future.

Networking with Experts in AI and Blockchain

A major highlight of the Economic Forum in Karpacz was the opportunity to network with experts from academia, industry, and government.

Collaborations with Academia:

We engaged with scholars from leading universities such as the Cracow University of Technology and the University of Warsaw. These interactions laid the groundwork for potential research collaborations and joint projects.

Building Strategic Partnerships:

Our team connected with industry leaders, exploring opportunities for partnerships in regard to building the future of education. We met many extremely smart, yet humble people interested in joining advisory board of one of our projects - HackZ.

Exchanging Knowledge with VCs and Policymakers:

We had fruitful discussions with policymakers and very knowledgable representatives of Venture Capital. The discussions revolved around blockchain and AI regulation, futuristic education methods and dillemas regarding digital transformation in companies. These exchanges provided us with very interesting insights as well as new friendships.

Looking Ahead: Nextrope's Future in AI and Blockchain

Nextrope's participation in the Economic Forum Karpacz 2024 has solidified our position as one of the leading, deep-tech software houses in CEE. By fostering connections with academia, industry experts, and policymakers, we are well-positioned to consult our clients on trends and regulatory needs as well as implementing cutting edge DeFi software.

What's Next for Nextrope?

Continuing Innovation:

We remain committed to developing cutting-edge software solutions and designing token economies that leverage the power of incentives and advanced cryptography.

Deepening Academic Collaborations:

The partnerships formed at the forum will help us stay at the forefront of technological advancements, particularly in AI and blockchain.

Expanding Our Global Reach:

The international connections made at the forum enable us to expand our influence both in CEE and outside of Europe. This reinforces Nextrope's status as a global leader in technology innovation.

If you're looking to create a robust blockchain system and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.

Monte Carlo Simulations in Tokenomics

Kajetan Olas

01 May 2024
Monte Carlo Simulations in Tokenomics

As the web3 field grows in complexity, traditional analytical tools often fall short in capturing the dynamics of digital markets. This is where Monte Carlo simulations come into play, offering a mathematical technique to model systems fraught with uncertainty.

Monte Carlo simulations employ random sampling to understand probable outcomes in processes that are too complex for straightforward analytic solutions. By simulating thousands, or even millions, of scenarios, Monte Carlo methods can provide insights into the likelihood of different outcomes, helping stakeholders make informed decisions under conditions of uncertainty.

In this article, we will explore the role of Monte Carlo simulations within the context of tokenomics.  illustrating how they are employed to forecast market dynamics, assess risk, and optimize strategies in the volatile realm of cryptocurrencies. By integrating this powerful tool, businesses and investors can enhance their analytical capabilities, paving the way for more resilient and adaptable economic models in the digital age.

Understanding Monte Carlo Simulations

The Monte Carlo method is an approach to solving problems that involve random sampling to understand probable outcomes. This technique was first developed in the 1940s by scientists working on the atomic bomb during the Manhattan Project. The method was designed to simplify the complex simulations of neutron diffusion, but it has since evolved to address a broad spectrum of problems across various fields including finance, engineering, and research.

Random Sampling and Statistical Experimentation

At the heart of Monte Carlo simulations is the concept of random sampling from a probability distribution to compute results. This method does not seek a singular precise answer but rather a probability distribution of possible outcomes. By performing a large number of trials with random variables, these simulations mimic the real-life fluctuations and uncertainties inherent in complex systems.

Role of Randomness and Probability Distributions in Simulations

Monte Carlo simulations leverage the power of probability distributions to model potential scenarios in processes where exact outcomes cannot be determined due to uncertainty. Each simulation iteration uses randomly generated values that follow a specific statistical distribution to model different outcomes. This method allows analysts to quantify and visualize the probability of different scenarios occurring.

The strength of Monte Carlo simulations lies in the insight they offer into potential risks. They allow modelers to see into the probabilistic "what-if" scenarios that more closely mimic real-world conditions.

Monte Carlo Simulations in Tokenomics

Monte Carlo simulations are instrumental tool for token engineers. They're so useful due to their ability to model emergent behaviors. Here are some key areas where these simulations are applied:

Pricing and Valuation of Tokens

Determining the value of a new token can be challenging due to the volatile nature of cryptocurrency markets. Monte Carlo simulations help by modeling various market scenarios and price fluctuations over time, allowing analysts to estimate a token's potential future value under different conditions.

Assessing Market Dynamics and Investor Behavior

Cryptocurrency markets are influenced by a myriad of factors including regulatory changes, technological advancements, and shifts in investor sentiment. Monte Carlo methods allow researchers to simulate these variables in an integrated environment to see how they might impact token economics, from overall market cap fluctuations to liquidity concerns.

Assesing Possible Risks

By running a large number of simulations it’s possible to stress-test the project in multiple scenarios and identify emergent risks. This is perhaps the most important function of Monte Carlo Process, since these risks can’t be assessed any other way.

Source: How to use Monte Carlo simulation for reliability analysis?

Benefits of Using Monte Carlo Simulations

By generating a range of possible outcomes and their probabilities, Monte Carlo simulations help decision-makers in the cryptocurrency space anticipate potential futures and make informed strategic choices. This capability is invaluable for planning token launches, managing supply mechanisms, and designing marketing strategies to optimize market penetration.

Using Monte Carlo simulations, stakeholders in the tokenomics field can not only understand and mitigate risks but also explore the potential impact of different strategic decisions. This predictive power supports more robust economic models and can lead to more stable and successful token launches. 

Implementing Monte Carlo Simulations

Several tools and software packages can facilitate the implementation of Monte Carlo simulations in tokenomics. One of the most notable is cadCAD, a Python library that provides a flexible and powerful environment for simulating complex systems. 

Overview of cadCAD configuration Components

To better understand how Monte Carlo simulations work in practice, let’s take a look at the cadCAD code snippet:

sim_config = {

    'T': range(200),  # number of timesteps

    'N': 3,           # number of Monte Carlo runs

    'M': params       # model parameters

}

Explanation of Simulation Configuration Components

T: Number of Time Steps

  • Definition: The 'T' parameter in CadCAD configurations specifies the number of time steps the simulation should execute. Each time step represents one iteration of the model, during which the system is updated. That update is based on various rules defined by token engineers in other parts of the code. For example: we might assume that one iteration = one day, and define data-based functions that predict token demand on that day.

N: Number of Monte Carlo Runs

  • Definition: The 'N' parameter sets the number of Monte Carlo runs. Each run represents a complete execution of the simulation from start to finish, using potentially different random seeds for each run. This is essential for capturing variability and understanding the distribution of possible outcomes. For example, we can acknowledge that token’s price will be correlated with the broad cryptocurrency market, which acts somewhat unpredictably.

M: Model Parameters

  • Definition: The 'M' key contains the model parameters, which are variables that influence system's behavior but do not change dynamically with each time step. These parameters can be constants or distributions that are used within the policy and update functions to model the external and internal factors affecting the system.

Importance of These Components

Together, these components define the skeleton of your Monte Carlo simulation in CadCAD. The combination of multiple time steps and Monte Carlo runs allows for a comprehensive exploration of the stochastic nature of the modeled system. By varying the number of timesteps (T) and runs (N), you can adjust the depth and breadth of the exploration, respectively. The parameters (M) provide the necessary context and ensure that each simulation is realistic.

Messy graph representing Monte Carlo simulation, source: Bitcoin Monte Carlo Simulation

Conclusion

Monte Carlo simulations represent a powerful analytical tool in the arsenal of token engineers. By leveraging the principles of statistics, these simulations provide deep insights into the complex dynamics of token-based systems. This method allows for a nuanced understanding of potential future scenarios and helps with making informed decisions.

We encourage all stakeholders in the blockchain and cryptocurrency space to consider implementing Monte Carlo simulations. The insights gained from such analytical techniques can lead to more effective and resilient economic models, paving the way for the sustainable growth and success of digital currencies.

If you're looking to create a robust tokenomics model and go through institutional-grade testing please reach out to contact@nextrope.com. Our team is ready to help you with the token engineering process and ensure your project’s resilience in the long term.

FAQ

What is a Monte Carlo simulation in tokenomics context?

  • It's a mathematical method that uses random sampling to predict uncertain outcomes.

What are the benefits of using Monte Carlo simulations in tokenomics?

  • These simulations help foresee potential market scenarios, aiding in strategic planning and risk management for token launches.

Why are Monte Carlo simulations unique in cryptocurrency analysis?

  • They provide probabilistic outcomes rather than fixed predictions, effectively simulating real-world market variability and risk.