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

BigchainDB vs Ethereum

OverviewComparisonAlternatives

Overview

Ethereum
Ethereum
Stacks875
Followers463
Votes13
GitHub Stars13.6K
Forks5.9K
BigchainDB
BigchainDB
Stacks27
Followers71
Votes0
GitHub Stars4.0K
Forks769

BigchainDB vs Ethereum: What are the differences?

# Introduction
Key differences between BigchainDB and Ethereum are outlined below:

1. **Consensus Mechanism**: BigchainDB utilizes a consensus model known as Byzantine Fault Tolerance (BFT), where transactions are validated by a selected group of nodes, whereas Ethereum uses the Proof of Work (PoW) consensus mechanism, which requires miners to solve complex mathematical puzzles to validate transactions.
   
2. **Scale and Performance**: BigchainDB is designed for high throughput and low latency applications, capable of processing thousands of transactions per second, while Ethereum, in its current state, struggles with scalability issues, often experiencing network congestion and slower transaction speeds.

3. **Data Model**: BigchainDB focuses on storing and managing large volumes of data efficiently, making it ideal for applications that require data-intensive operations, whereas Ethereum primarily serves as a decentralized platform for executing smart contracts and building decentralized applications (dApps).

4. **Governance and Control**: In BigchainDB, users have greater control over the network as they can set up their own private instances, customize consensus algorithms, and manage permissions, whereas Ethereum operates on a public blockchain with decisions made by the community through consensus protocols.

5. **Smart Contract Functionality**: While both platforms support smart contracts, Ethereum's programming language, Solidity, is more established and widely used for developing complex smart contracts, whereas BigchainDB focuses on integrating smart contracts with traditional database functionalities, offering more flexibility in data handling.

6. **Token Economics**: Ethereum has its native cryptocurrency, Ether, which serves as a means of transacting value and paying for network fees, whereas BigchainDB does not have a native token and instead focuses on facilitating the storage and management of digital assets on the blockchain.

In Summary, a few key differences between BigchainDB and Ethereum lie in their consensus mechanisms, scalability, data management approaches, governance structures, smart contract functionalities, and token economics.

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Detailed Comparison

Ethereum
Ethereum
BigchainDB
BigchainDB

A decentralized platform for applications that run exactly as programmed without any chance of fraud, censorship or third-party interference.

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.

Platform for decentralized applications; Global, and open-source
Decentralization; Immutability; Native Support of Multiassets; Byzantine Fault Tolerant (BFT); Low Latency; Traditional Stack
Statistics
GitHub Stars
13.6K
GitHub Stars
4.0K
GitHub Forks
5.9K
GitHub Forks
769
Stacks
875
Stacks
27
Followers
463
Followers
71
Votes
13
Votes
0
Pros & Cons
Pros
  • 7
    Decentralized blockchain, most famous platform for DApp
  • 2
    Rich smart contract execution environment
  • 2
    #2 on capitalization after Bitcoin
  • 2
    Resistant to hash power attacks
Cons
  • 1
    High fees and lacks scalability
No community feedback yet
Integrations
Golang
Golang
C++
C++
Python
Python
Rust
Rust
Golang
Golang
Python
Python
C++
C++
Blockchain
Blockchain
Wagyu
Wagyu

What are some alternatives to Ethereum, 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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