DBMS > openGauss vs. Oracle Rdb vs. Typesense vs. Warp 10

System Properties Comparison openGauss vs. Oracle Rdb vs. Typesense vs. Warp 10

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Editorial information provided by DB-Engines

Name

Description

An enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei

A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity

TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBase

Primary database model

Relational DBMS

Search engine

Time Series DBMS

Secondary database models

Document store
Spatial DBMS

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

Score	1.11
Rank	#175	Overall
	#79	Relational DBMS

Score	1.04
Rank	#184	Overall
	#84	Relational DBMS

Score	0.80
Rank	#209	Overall
	#14	Search engines

Score	0.06
Rank	#351	Overall
	#35	Time Series DBMS

Website

gitee.com/opengauss
opengauss.org

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

typesense.org

www.warp10.io

Technical documentation

docs.opengauss.org/en
gitee.com/opengauss/docs

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

typesense.org/docs

www.warp10.io/content/02_Getting_started

Developer

Huawei and openGauss community

Oracle, originally developed by Digital Equipment Corporation (DEC)

SenX

Initial release

2019

1984

2015

Current release

3.0, March 2022

7.4.1.1, 2021

License

Commercial or Open Source

Open Source

commercial

Open Source

GPL V3

Open Source

Apache License 2.0

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

C, C++, Java

C++

Java

Server operating systems

Linux

HP Open VMS

Linux

Linux
OS X
Windows

Data scheme

yes

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

schema-free

pre-defined schema optional

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

ANSI SQL 2011

yes

APIs and other access methods

JDBC
ODBC

RESTful HTTP API

HTTP API
Jupyter
WebSocket

Supported programming languages

C
C++
Java

.Net

community maintained
Clojure

community maintained
Dart

community maintained
Go

community maintained
Java

community maintained
JavaScript
Perl

community maintained
PHP
Python
Ruby
Rust

community maintained
Swift

community maintained

Server-side scripts

Stored procedures

yes

WarpScript

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning (by range, list and hash)

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

Multi-source replication using RAFT

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

based on HBase

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

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.

yes

User concepts

Access control

Access rights for users, groups and roles according to SQL-standard

Mandatory use of cryptographic tokens, containing fine-grained authorizations

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More resources

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