DBMS > Coveo vs. Oracle Rdb vs. Transwarp StellarDB

System Properties Comparison Coveo vs. Oracle Rdb vs. Transwarp StellarDB

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Editorial information provided by DB-Engines

Name

Description

AI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code development

A distributed graph DBMS built for enterprise-level graph applications

Primary database model

Search engine

Relational DBMS

Graph DBMS

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

Score	2.24
Rank	#113	Overall
	#11	Search engines

Score	1.03
Rank	#182	Overall
	#82	Relational DBMS

Score	0.00
Rank	#388	Overall
	#40	Graph DBMS

Website

www.coveo.com

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

www.transwarp.cn/en/product/stellardb

Technical documentation

docs.coveo.com

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

Developer

Coveo

Oracle, originally developed by Digital Equipment Corporation (DEC)

Transwarp

Initial release

2012

1984

Current release

7.4.1.1, 2021

License

Commercial or Open Source

commercial

Cloud-based only

Only available as a cloud service

yes

DBaaS offerings (sponsored links)

Database as a Service

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Server operating systems

hosted

HP Open VMS

Data scheme

hybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configuration

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

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

yes

SQL

Support of SQL

yes

SQL-like query language

APIs and other access methods

RESTful HTTP API

OpenCypher

Supported programming languages

C#
Java
JavaScript
Python

Server-side scripts

Stored procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

yes

horizontal partitioning

Replication methods

Methods for redundantly storing data on multiple nodes

yes

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

yes, on a single node

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.

User concepts

Access control

granular access controls, API key management, content filters

yes

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More resources

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