DBMS > Machbase Neo vs. Oracle Rdb vs. RDFox vs. Snowflake

System Properties Comparison Machbase Neo vs. Oracle Rdb vs. RDFox vs. Snowflake

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Editorial information provided by DB-Engines

Name

Description

TimeSeries DBMS for AIoT and BigData

High performance knowledge graph and semantic reasoning engine

Cloud-based data warehousing service for structured and semi-structured data

Primary database model

Secondary database models

Relational DBMS

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

Score	0.17
Rank	#337	Overall
	#30	Time Series DBMS

Score	1.14
Rank	#178	Overall
	#80	Relational DBMS

Score	0.29
Rank	#300	Overall
	#24	Graph DBMS
	#13	RDF stores

Score	130.36
Rank	#8	Overall
	#5	Relational DBMS

Website

machbase.com

www.oracle.com/database/technologies/related/rdb.html

www.oxfordsemantic.tech

www.snowflake.com

Technical documentation

machbase.com/dbms

www.oracle.com/database/technologies/related/rdb-doc.html

docs.oxfordsemantic.tech

docs.snowflake.net/manuals/index.html

Developer

Machbase

Oracle, originally developed by Digital Equipment Corporation (DEC)

Oxford Semantic Technologies

Snowflake Computing Inc.

Initial release

2013

1984

2017

2014

Current release

V8.0, August 2023

7.4.1.1, 2021

6.0, Septermber 2022

License

Commercial or Open Source

commercial

free test version available

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.

Implementation language

C++

Server operating systems

Linux
macOS
Windows

HP Open VMS

Linux
macOS
Windows

hosted

Data scheme

yes

Flexible Schema (defined schema, partial schema, schema free)

yes

RDF schemas

yes

support of semi-structured data formats (JSON, XML, Avro)

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.

yes

Secondary indexes

yes

SQL

Support of SQL

SQL-like query language

yes

APIs and other access methods

gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC

RESTful HTTP API
SPARQL 1.1

CLI Client
JDBC
ODBC

Supported programming languages

C
C#
C++
Go
Java
JavaScript
PHP

via ODBC
Python
R

via ODBC
Scala

C
Java

JavaScript (Node.js)
Python

Server-side scripts

Stored procedures

user defined functions

Triggers

similar concept for controling cloud resources

Partitioning methods

Methods for storing different data on different nodes

Sharding

yes

Replication methods

Methods for redundantly storing data on multiple nodes

selectable replication factor

replication via a shared file system

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Immediate Consistency in stand-alone mode, Eventual Consistency in replicated setups

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes, on a single node

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

volatile and lookup table

yes

User concepts

Access control

simple password-based access control

Roles, resources, and access types

Users with fine-grained authorization concept, user roles and pluggable authentication

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