DBMS > Apache Cassandra vs. BigchainDB vs. Coveo vs. Firebase Realtime Database

System Properties Comparison Apache Cassandra vs. BigchainDB vs. Coveo vs. Firebase Realtime Database

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Editorial information provided by DB-Engines

Name

Description

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

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

AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development

Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.

Primary database model

Secondary database models

Vector DBMS

starting with release V5

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

Score	97.71
Rank	#11	Overall
	#1	Wide column stores

Score	0.76
Rank	#213	Overall
	#35	Document stores

Score	2.32
Rank	#109	Overall
	#11	Search engines

Score	13.43
Rank	#39	Overall
	#6	Document stores

Website

cassandra.apache.org

www.bigchaindb.com

www.coveo.com

firebase.google.com/products/realtime-database

Technical documentation

cassandra.apache.org/doc/latest

bigchaindb.readthedocs.io/en/latest

docs.coveo.com

firebase.google.com/docs/database

Developer

Apache Software Foundation

Apache top level project, originally developped by Facebook

Coveo

Google

acquired by Google 2014

Initial release

2008

2016

2012

Current release

5.0-rc1, July 2024

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

AGPL v3

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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

Astra DB: Multi-cloud DBaaS built on Apache Cassandra.

Implementation language

Java

Python

Server operating systems

BSD
Linux
OS X
Windows

Linux

hosted

Data scheme

schema-free

hybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration

schema-free

Typing

predefined data types such as float or date

yes

XML support

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

only equality queries, not always the best performing solution

yes

SQL

Support of SQL

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

APIs and other access methods

Proprietary protocol

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

CLI Client
RESTful HTTP API

RESTful HTTP API

Android
iOS
JavaScript API
RESTful HTTP API

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

Go
Haskell
Java
JavaScript
Python
Ruby

C#
Java
JavaScript
Python

Java
JavaScript
Objective-C

Server-side scripts

Stored procedures

limited functionality with using 'rules'

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

selectable replication factor

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

Eventual Consistency
Immediate Consistency

can be individually decided for each write operation

Immediate Consistency

Eventual Consistency

if the client is offline
Immediate Consistency

if the client is online

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomicity and isolation are supported for single operations

yes

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

yes,with MongoDB ord RethinkDB

yes

In-memory capabilities

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

User concepts

Access control

Access rights for users can be defined per object

yes

granular access controls, API key management, content filters

yes, based on authentication and database rules

More information provided by the system vendor

Specific characteristics

Apache Cassandra is the leading NoSQL, distributed database management system, well...
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Competitive advantages

No single point of failure ensures 100% availability . Operational simplicity for...
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Typical application scenarios

Internet of Things (IOT), fraud detection applications, recommendation engines, product...
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Key customers

Apple, Netflix, Uber, ING,, Intuit,Fidelity, NY Times, Outbrain, BazaarVoice, Best...
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Market metrics

Apache 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...
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News

The Reality of AI and Cloud Adoption
6 November 2024

Maximizing Self-Managed Apache Cassandra with Kubernetes
5 November 2024

Unify Internal and External Data for AI Workflows with Glean, Astra DB, and Langflow
30 October 2024

Let Copilot Initiate Your Database with the Latest DataStax Astra DB GitHub Copilot Extension
29 October 2024

How AI Agents and Humans Collaborate to Turn Unstructured Data into Action
24 October 2024

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