DBMS > BigchainDB vs. Cassandra

System Properties Comparison BigchainDB vs. Cassandra

Please select another system to include it in the comparison.

Our visitors often compare BigchainDB and Cassandra with MongoDB, Redis and MySQL.

Editorial information provided by DB-Engines

Name

Description

BigchainDB is scalable blockchain database offering decentralization, immutability and native assets

Wide-column store based on ideas of BigTable and DynamoDB info

Optimized for write access

Primary database model

Document store

Wide column store

DB-Engines Ranking measures the popularity of database management systems
Trend Chart

Score	0.73
Rank	#173	Overall
	#23	Document stores

Score	127.00
Rank	#10	Overall
	#1	Wide column stores

Website

www.bigchaindb.com

cassandra.apache.org

Technical documentation

bigchaindb.readthedocs.io/en/latest

cassandra.apache.org/doc/latest

Developer

Apache Software Foundation info

Apache top level project, originally developped by Facebook

Initial release

2016

2008

Current release

3.11.4, February 2019

License

Commercial or Open Source

Open Source info

AGPL v3

Open Source info

Apache version 2

Cloud-based only info

Only available as a cloud service

DBaaS offerings (sponsored links) info

Database as a Service

Providers of DBaaS offerings, please contact us to be listed.

Implementation language

Python

Java

Server operating systems

Linux

BSD
Linux
OS X
Windows

Data scheme

schema-free

Typing

predefined data types such as float or date

yes

XML support info

Some form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.

Secondary indexes

restricted info

only equality queries, not always the best performing solution

SQL

Support of SQL

SQL-like SELECT, DML and DDL statements (CQL)

APIs and other access methods

CLI Client
RESTful HTTP API

Proprietary protocol info

CQL (Cassandra Query Language, an SQL-like language)
Thrift

Supported programming languages

Go
Haskell
Java
JavaScript
Python
Ruby

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript info

Node.js
Perl
PHP
Python
Ruby
Scala

Server-side scripts info

Stored procedures

Triggers

yes

Partitioning methods info

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Replication methods info

Methods for redundantly storing data on multiple nodes

selectable replication factor

selectable replication factor info

Representation of geographical distribution of servers is possible

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts info

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency info

can be individually decided for each write operation

Foreign keys info

Referential integrity

Transaction concepts info

Support to ensure data integrity after non-atomic manipulations of data

Atomicity and isolation are supported for single operations

Concurrency info

Support for concurrent manipulation of data

yes

Durability info

Support for making data persistent

yes,with MongoDB ord RethinkDB

yes

In-memory capabilities info

Is there an option to define some or all structures to be held in-memory only.

User concepts info

Access control

yes

Access rights for users can be defined per object

More information provided by the system vendor

Specific characteristics

Apache Cassandra is the leading NoSQL, distributed database management system, well...
» more

Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
» more

Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
» more

Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
» more

Market metrics

Cassandra is used by 40% of the Fortune 100.
» more

Licensing and pricing models

Apache licenseÂ Pricing for commercial distributions provided by DataStax and available...
» more

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.