DBMS > Atos Standard Common Repository vs. TerminusDB vs. VelocityDB vs. XTDB

System Properties Comparison Atos Standard Common Repository vs. TerminusDB vs. VelocityDB vs. XTDB

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Editorial information provided by DB-Engines

Name

This system has been discontinued and will be removed from the DB-Engines ranking.

Description

Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networks

Scalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships

A .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)

A general purpose database with bitemporal SQL and Datalog and graph queries

Primary database model

Document store
Key-value store

Graph DBMS

Graph DBMS
Object oriented DBMS

Document store

Secondary database models

Document store
RDF store

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

Score	0.17
Rank	#325	Overall
	#29	Graph DBMS

Score	0.05
Rank	#358	Overall
	#36	Graph DBMS
	#16	Object oriented DBMS

Score	0.11
Rank	#343	Overall
	#46	Document stores

Website

atos.net/en/convergence-creators/portfolio/standard-common-repository

terminusdb.com

velocitydb.com

github.com/xtdb/xtdb
www.xtdb.com

Technical documentation

terminusdb.github.io/terminusdb/#

velocitydb.com/UserGuide

www.xtdb.com/docs

Developer

Atos Convergence Creators

DataChemist Ltd.

VelocityDB Inc

Juxt Ltd.

Initial release

2016

2018

2011

2019

Current release

1703

11.0.0, January 2023

7.x

1.19, September 2021

License

Commercial or Open Source

commercial

Open Source

GPL V3

commercial

Open Source

MIT License

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

Prolog, Rust

Clojure

Server operating systems

Linux

Any that supports .NET

All OS with a Java 8 (and higher) VM
Linux

Data scheme

Schema and schema-less with LDAP views

yes

schema-free

Typing

predefined data types such as float or date

optional

yes

yes, extensible-data-notation format

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language (WOQL)

limited SQL, making use of Apache Calcite

APIs and other access methods

LDAP

OWL
RESTful HTTP API
WOQL (Web Object Query Language)

.Net

HTTP REST
JDBC

Supported programming languages

All languages with LDAP bindings

JavaScript
Python

.Net

Clojure
Java

Server-side scripts

Stored procedures

yes

Triggers

yes

Callbacks are triggered when data changes

Partitioning methods

Methods for storing different data on different nodes

Sharding

cell division

Graph Partitioning

Sharding

none

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Journaling Streams

yes, each node contains all data

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency or Eventual Consistency depending on configuration

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

Atomic execution of specific operations

ACID

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

in-memory journaling

yes

yes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB

In-memory capabilities

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

yes

User concepts

Access control

LDAP bind authentication

Role-based access control

Based on Windows Authentication

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More resources

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