High-performance enterprise-first blockchain

Leverage the skills your developers already have to put your data and business logic on your very own private/public hybrid blockchain.

What is Dragonchain?

Dragonchain is a public/private hybrid blockchain

A private blockchain leveraging decentralization and interoperability to ensure your data is both verifiable and secure.

How Dragonchain Works

1

Create Your Private Blockchain

Create your first blockchain without the hassle and added cost of blockchain engineers. You can spin up your node within minutes.

2

Upload a Smart Contract

Implemented using container architecture for portability and auto-scaling, you are able to move business logic to your private blockchain and without the need to learn new languages.

3

Post a Transaction

Leverage Dragonchain's lightweight SDKs to post transactions to your private blockchain. Open source SDKs are available for NodeJS, Python, Go, and Dart.

4

Payload Sent to Private Data Store

Data is kept off-chain in a secure private data store, ensuring your business can remain compliant with personal information protection laws (GDPR, CCPA).

5

Thumbprint Stored On-Chain

A hash is used as proof of the data's existence and stored on-chain, while your data remains private.

6

Network Consensus

Your private blockchain connects to a larger network of chains (Dragon Net) adding an additional level of protection to your private transactions.

7

Interchain to Public Blockchain

Only Dragonchain can provide the interoperability with Bitcoin, Ethereum, Ethereum Classic, and Binance Chain required to secure your transactions. Our patented interchain network provides you with added transparency and security, always knowing your data is held in your private data store.

Blockchain Solutions

Not sure what to make or how you can integrate blockchain into your application? See a few of our solutions to spark an idea.

Go to Solutions

For Developers

Writing to the ledger is immediate compared to others which take minutes or hours and may be slower under load performance.

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