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  1. Stackups
  2. Application & Data
  3. Databases
  4. Blockchain
  5. BigchainDB vs MultiChain

BigchainDB vs MultiChain

OverviewComparisonAlternatives

Overview

MultiChain
MultiChain
Stacks13
Followers31
Votes4
BigchainDB
BigchainDB
Stacks27
Followers71
Votes0
GitHub Stars4.0K
Forks769

BigchainDB vs MultiChain: What are the differences?

Introduction: BigchainDB and MultiChain are both blockchain platforms that offer unique features and capabilities for different use cases in the distributed ledger technology space.

  1. Consensus Mechanism: BigchainDB utilizes a consensus mechanism known as Byzantine fault-tolerant consensus, which ensures secure and reliable transaction processing. In contrast, MultiChain offers a variety of consensus mechanisms, including mining, proof-of-work, and round-robin voting, allowing users to choose the most suitable option for their specific requirements.

  2. Data Model: BigchainDB is oriented towards storing large structured data sets efficiently, making it ideal for applications requiring complex data querying and analysis. On the other hand, MultiChain focuses on simplicity and flexibility, allowing users to store any type of data within the blockchain, whether structured or unstructured.

  3. Permissioning: BigchainDB is designed as a permissioned blockchain, meaning that access to the network is restricted to authorized participants, ensuring data privacy and security. In contrast, MultiChain supports both permissioned and permissionless configurations, giving users the flexibility to create public or private blockchain networks as needed.

  4. Smart Contract Support: BigchainDB primarily focuses on data storage and transfer, lacking extensive support for smart contracts and complex decentralized applications. MultiChain, on the other hand, offers robust smart contract functionality, enabling users to create and execute custom business logic within the blockchain network.

  5. Scalability: BigchainDB is optimized for scalable decentralized data management, allowing for high throughput and low latency transactions across the network. MultiChain, while also capable of scaling effectively, may require additional configuration and optimization for large-scale deployment in enterprise environments.

  6. Community and Ecosystem: BigchainDB has a strong open-source community actively contributing to the platform's development and adoption, fostering innovation and collaboration among users. In comparison, MultiChain, while supported by a dedicated user base, may have a more streamlined ecosystem focused on specific enterprise use cases and solutions.

In Summary, BigchainDB and MultiChain differ in their consensus mechanisms, data models, permissioning structures, smart contract support, scalability options, and community ecosystems, catering to varying needs in the blockchain industry.

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Detailed Comparison

MultiChain
MultiChain
BigchainDB
BigchainDB

It is a platform that helps users to establish a certain private Blockchains that can be used by the organizations for financial transactions.

It is designed to merge the best of two worlds: the “traditional” distributed database world and the “traditional” blockchain world. With high throughput, low latency, powerful query functionality, decentralized control, immutable data storage and built-in asset support.

Smart contracts are not needed; Flexible asset metadata; Permissioned follow-on issuance; Atomic multi-asset payments; Multi-way atomic asset exchanges; Multi-signatures for security and escrow; Subscribe to an asset to query transactions.
Decentralization; Immutability; Native Support of Multiassets; Byzantine Fault Tolerant (BFT); Low Latency; Traditional Stack
Statistics
GitHub Stars
-
GitHub Stars
4.0K
GitHub Forks
-
GitHub Forks
769
Stacks
13
Stacks
27
Followers
31
Followers
71
Votes
4
Votes
0
Pros & Cons
Pros
  • 4
    No Transaction Fees
No community feedback yet
Integrations
C++
C++
Python
Python
Golang
Golang
Rust
Rust
Wagyu
Wagyu
Golang
Golang
Python
Python
C++
C++
Blockchain
Blockchain
Wagyu
Wagyu

What are some alternatives to MultiChain, BigchainDB?

MongoDB

MongoDB

MongoDB stores data in JSON-like documents that can vary in structure, offering a dynamic, flexible schema. MongoDB was also designed for high availability and scalability, with built-in replication and auto-sharding.

MySQL

MySQL

The MySQL software delivers a very fast, multi-threaded, multi-user, and robust SQL (Structured Query Language) database server. MySQL Server is intended for mission-critical, heavy-load production systems as well as for embedding into mass-deployed software.

PostgreSQL

PostgreSQL

PostgreSQL is an advanced object-relational database management system that supports an extended subset of the SQL standard, including transactions, foreign keys, subqueries, triggers, user-defined types and functions.

Microsoft SQL Server

Microsoft SQL Server

Microsoft® SQL Server is a database management and analysis system for e-commerce, line-of-business, and data warehousing solutions.

SQLite

SQLite

SQLite is an embedded SQL database engine. Unlike most other SQL databases, SQLite does not have a separate server process. SQLite reads and writes directly to ordinary disk files. A complete SQL database with multiple tables, indices, triggers, and views, is contained in a single disk file.

Cassandra

Cassandra

Partitioning means that Cassandra can distribute your data across multiple machines in an application-transparent matter. Cassandra will automatically repartition as machines are added and removed from the cluster. Row store means that like relational databases, Cassandra organizes data by rows and columns. The Cassandra Query Language (CQL) is a close relative of SQL.

Memcached

Memcached

Memcached is an in-memory key-value store for small chunks of arbitrary data (strings, objects) from results of database calls, API calls, or page rendering.

MariaDB

MariaDB

Started by core members of the original MySQL team, MariaDB actively works with outside developers to deliver the most featureful, stable, and sanely licensed open SQL server in the industry. MariaDB is designed as a drop-in replacement of MySQL(R) with more features, new storage engines, fewer bugs, and better performance.

RethinkDB

RethinkDB

RethinkDB is built to store JSON documents, and scale to multiple machines with very little effort. It has a pleasant query language that supports really useful queries like table joins and group by, and is easy to setup and learn.

ArangoDB

ArangoDB

A distributed free and open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient SQL-like query language or JavaScript extensions.

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