DBMS > gStore vs. IBM Db2 warehouse vs. Manticore Search vs. Oracle Rdb

System Properties Comparison gStore vs. IBM Db2 warehouse vs. Manticore Search vs. Oracle Rdb

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Editorial information provided by DB-Engines

Name

Description

A native Graph DBMS to store and maintain very large RDF datasets.

Cloud-based data warehousing service

Multi-storage database for search, including full-text search.

Primary database model

Secondary database models

Time Series DBMS

using the Manticore Columnar Library

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

Score	0.04
Rank	#359	Overall
	#37	Graph DBMS
	#18	RDF stores

Score	1.30
Rank	#164	Overall
	#75	Relational DBMS

Score	0.22
Rank	#312	Overall
	#21	Search engines

Score	1.08
Rank	#184	Overall
	#85	Relational DBMS

Website

en.gstore.cn

www.ibm.com/products/db2/warehouse

manticoresearch.com

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

Technical documentation

en.gstore.cn/#/enDocs

manual.manticoresearch.com

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

Developer

IBM

Manticore Software

Oracle, originally developed by Digital Equipment Corporation (DEC)

Initial release

2016

2014

2017

1984

Current release

1.2, November 2023

6.0, February 2023

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

BSD

commercial

Open Source

GPL version 2

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

hosted

FreeBSD
Linux
macOS
Windows

HP Open VMS

Data scheme

schema-free and OWL/RDFS-schema support

yes

Fixed schema

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

Typing

predefined data types such as float or date

yes

Int, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Boolean

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

Can index from XML

Secondary indexes

yes

full-text index on all search fields

yes

SQL

Support of SQL

yes

SQL-like query language

yes

APIs and other access methods

HTTP API
SPARQL 1.1

.NET Client API
JDBC
ODBC
OLE DB

Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL

Supported programming languages

C++
Java
JavaScript (Node.js)
PHP
Python

Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby

Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python

Server-side scripts

Stored procedures

yes

PL/SQL, SQL PL

user defined functions

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

Sharding

Partitioning is done manually, search queries against distributed index is supported

Replication methods

Methods for redundantly storing data on multiple nodes

yes

Synchronous replication based on Galera library

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

yes

ACID

yes

isolated transactions for atomic changes and binary logging for safe writes

yes, on a single node

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

The original contents of fields are not stored in the Manticore index.

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

Users, roles and permissions, Role-Based Access Control (RBAC) supported

fine grained access rights according to SQL-standard

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