DBMS > Apache Cassandra vs. OpenTenBase vs. Stardog

System Properties Comparison Apache Cassandra vs. OpenTenBase vs. Stardog

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines

Name

Description

Wide-column store based on ideas of BigTable and DynamoDB

Optimized for write access

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

Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization

Primary database model

Wide column store

Relational DBMS

Graph DBMS
RDF store

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	0.00
Rank	#390	Overall
	#157	Relational DBMS

Score	1.59
Rank	#136	Overall
	#11	Graph DBMS
	#6	RDF stores

Website

cassandra.apache.org

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

www.stardog.com

Technical documentation

cassandra.apache.org/doc/latest

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

docs.stardog.com

Developer

Apache Software Foundation

Apache top level project, originally developped by Facebook

OpenAtom Foundation, previously Tencent

Stardog-Union

Initial release

2008

2010

Current release

5.0-rc1, July 2024

2.5, January 2024

7.3.0, May 2020

License

Commercial or Open Source

Open Source

Apache version 2

Open Source

BSD-3

commercial

60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students

Cloud-based only

Only available as a cloud service

DBaaS offerings (sponsored links)

Database as a Service

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

Implementation language

Java

Server operating systems

BSD
Linux
OS X
Windows

Linux

Linux
macOS
Windows

Data scheme

schema-free

yes

schema-free and OWL/RDFS-schema support

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.

Import/export of XML data possible

Secondary indexes

restricted

only equality queries, not always the best performing solution

yes

supports real-time indexing in full-text and geospatial

SQL

Support of SQL

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

yes

Yes, compatible with all major SQL variants through dedicated BI/SQL Server

APIs and other access methods

Proprietary protocol

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

GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3

Supported programming languages

C#
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript

Node.js
Perl
PHP
Python
Ruby
Scala

C
Go
Java
PHP
Python

.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby

Server-side scripts

Stored procedures

user defined functions and aggregates, HTTP Server extensions in Java

Triggers

yes

via event handlers

Partitioning methods

Methods for storing different data on different nodes

Sharding

no "single point of failure"

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

Representation of geographical distribution of servers is possible

yes

Multi-source replication in HA-Cluster

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

Immediate Consistency in HA-Cluster

Foreign keys

Referential integrity

yes

relationships in graphs

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

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

Access rights for users and roles

More information provided by the system vendor

News

Understanding AI Agent Architectures in Langflow
24 March 2025

A Decade of Apache Cassandra® Data Modeling
20 March 2025

Introducing Astra DB Hybrid Search: Improve Relevance by 45%
18 March 2025

Building a Weather App with a Raspberry Pi, Astra DB, and Langflow
14 March 2025

Generate Personalized Mythical Creatures with Langflow
13 March 2025

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.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

IBM plans to buy open source Cassandra wrangler DataStax
25 February 2025, The Register

Best practices for running Apache Cassandra with Amazon EBS
8 November 2024, AWS Blog

New Apache Cassandra 5.0 gives open source NoSQL database a scalability and performance boost
6 September 2024, VentureBeat

Apache Cassandra survey highlights growing adoption for AI workloads
11 November 2024, Blocks and Files

Uptake of DataStax’s Cloud-Based Data Management Points to IPO
10 March 2025, Spiceworks News and Insights

provided by Google News

Share this page