DBMS > Apache Cassandra vs. DuckDB vs. OpenTenBase

System Properties Comparison Apache Cassandra vs. DuckDB vs. OpenTenBase

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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

An embeddable, in-process, column-oriented SQL OLAP RDBMS

An enterprise-level distributed HTAP open source database based on PostgreSQL

Primary database model

Wide column store

Relational DBMS

Secondary database models

Vector DBMS

starting with release V5

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

Score	106.65
Rank	#11	Overall
	#1	Wide column stores

Score	6.71
Rank	#51	Overall
	#31	Relational DBMS

Score	0.00
Rank	#390	Overall
	#157	Relational DBMS

Website

cassandra.apache.org

duckdb.org

github.com/OpenTenBase/OpenTenBase
www.opentenbase.org

Technical documentation

cassandra.apache.org/doc/latest

duckdb.org/docs

docs.opentenbase.org
docs.opentenbase.org/en

Developer

Apache Software Foundation

Apache top level project, originally developped by Facebook

OpenAtom Foundation, previously Tencent

Initial release

2008

2018

Current release

5.0-rc1, July 2024

1.0.0, June 2024

2.5, January 2024

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

MIT License

Open Source

BSD-3

Cloud-based only

Only available as a cloud service

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Implementation language

Java

C++

Server operating systems

BSD
Linux
OS X
Windows

server-less

Linux

Data scheme

schema-free

yes

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)

yes

APIs and other access methods

Proprietary protocol

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

Arrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

C
C#

3rd party driver
C++
Crystal

3rd party driver
Go

3rd party driver
Java
Lisp

3rd party driver
Python
R
Ruby

3rd party driver
Rust
Swift
Zig

3rd party driver

C
Go
Java
PHP
Python

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

none

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

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

ACID

Concurrency

Support for concurrent manipulation of data

yes

yes, multi-version concurrency control (MVCC)

yes

Durability

Support for making data persistent

yes

In-memory capabilities

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

yes

User concepts

Access control

Access rights for users can be defined per object

Access rights for users, groups and roles according to SQL-standard

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