StackShareStackShare
Follow on
StackShare

Discover and share technology stacks from companies around the world.

Follow on

© 2025 StackShare. All rights reserved.

Product

  • Stacks
  • Tools
  • Feed

Company

  • About
  • Contact

Legal

  • Privacy Policy
  • Terms of Service
  1. Stackups
  2. Application & Data
  3. Databases
  4. Blockchain
  5. BigchainDB vs Tendermint

BigchainDB vs Tendermint

OverviewComparisonAlternatives

Overview

BigchainDB
BigchainDB
Stacks27
Followers71
Votes0
GitHub Stars4.0K
Forks769
Tendermint
Tendermint
Stacks18
Followers39
Votes4
GitHub Stars5.8K
Forks2.1K

BigchainDB vs Tendermint: What are the differences?

<BigchainDB vs Tendermint>

1. **Consensus Mechanism**: BigchainDB uses a federated consensus mechanism where a fixed set of nodes are predetermined to validate transactions, while Tendermint utilizes a practical Byzantine Fault Tolerance (PBFT) consensus algorithm that allows for nodes to be dynamically added or removed.
2. **Interface**: BigchainDB provides an interface for asset issuance and transfer similar to a traditional database, supporting high throughput and low latency for read and write operations. In contrast, Tendermint offers a blockchain consensus engine that can be used with various applications to achieve consensus on the order of transactions.
3. **Scalability**: BigchainDB is designed for high throughput, enabling thousands of transactions per second, especially geared towards applications requiring fast data processing. Tendermint focuses on scalability in terms of the number of validators, allowing for more dynamic governance structures and larger validator sets.
4. **Consistency vs Partition Tolerance**: BigchainDB prioritizes consistency in transactions, ensuring that all nodes have consistent data, whereas Tendermint focuses on partition tolerance, allowing the network to continue operating even if some nodes experience communication failures.
5. **Smart Contracts**: BigchainDB does not natively support smart contracts, while Tendermint facilitates the execution of smart contracts through the use of a separate module such as Cosmos SDK or Ethermint.
6. **Permissioning**: BigchainDB is permissioned by default, requiring permission to access and participate in the network, whereas Tendermint provides the option for both permissioned and permissionless configurations, offering flexibility in network governance.

In Summary, BigchainDB and Tendermint differ in their consensus mechanisms, interfaces, scalability approaches, consistency goals, smart contract support, and permissioning models.

Share your Stack

Help developers discover the tools you use. Get visibility for your team's tech choices and contribute to the community's knowledge.

View Docs
CLI (Node.js)
or
Manual

Detailed Comparison

BigchainDB
BigchainDB
Tendermint
Tendermint

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.

It is a software which can be used to achieve Byzantine fault tolerance (BFT) in any distributed computing platforms. It consists of two chief technical components: a blockchain consensus engine and a generic application interface.

Decentralization; Immutability; Native Support of Multiassets; Byzantine Fault Tolerant (BFT); Low Latency; Traditional Stack
Byzantine Fault-Tolerant; State Machine Replication; Secure P2P; Lightning Fast; 100% Open Source
Statistics
GitHub Stars
4.0K
GitHub Stars
5.8K
GitHub Forks
769
GitHub Forks
2.1K
Stacks
27
Stacks
18
Followers
71
Followers
39
Votes
0
Votes
4
Pros & Cons
No community feedback yet
Pros
  • 2
    BFT consensus
  • 2
    Has consensus engine separated from the application
Integrations
Golang
Golang
Python
Python
C++
C++
Blockchain
Blockchain
Wagyu
Wagyu
Python
Python
Golang
Golang
C++
C++
Rust
Rust
Wagyu
Wagyu
Blockchain
Blockchain

What are some alternatives to BigchainDB, Tendermint?

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.

Related Comparisons

Bootstrap
Materialize

Bootstrap vs Materialize

Laravel
Django

Django vs Laravel vs Node.js

Bootstrap
Foundation

Bootstrap vs Foundation vs Material UI

Node.js
Spring Boot

Node.js vs Spring-Boot

Liquibase
Flyway

Flyway vs Liquibase