DBMS > Cubrid vs. OrigoDB vs. Pinecone vs. Rockset vs. YottaDB

System Properties Comparison Cubrid vs. OrigoDB vs. Pinecone vs. Rockset vs. YottaDB

Editorial information provided by DB-Engines

Name

Description

CUBRID is an open-source SQL-based relational database management system with object extensions for OLTP

A fully ACID in-memory object graph database

A managed, cloud-native vector database

A scalable, reliable search and analytics service in the cloud, built on RocksDB

A fast and solid embedded Key-value store

Primary database model

Relational DBMS

Document store
Object oriented DBMS

Vector DBMS

Document store

Key-value store

Secondary database models

Relational DBMS
Search engine

Relational DBMS

using the Octo plugin

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

Score	1.04
Rank	#187	Overall
	#87	Relational DBMS

Score	0.06
Rank	#380	Overall
	#50	Document stores
	#18	Object oriented DBMS

Score	3.23
Rank	#92	Overall
	#3	Vector DBMS

Score	0.82
Rank	#212	Overall
	#36	Document stores

Score	0.28
Rank	#306	Overall
	#44	Key-value stores

Website

cubrid.com (korean)
cubrid.org (english)

Technical documentation

cubrid.org/manuals

origodb.com/docs

docs.pinecone.io/docs/overview

docs.rockset.com

yottadb.com/resources/documentation

Developer

CUBRID Corporation, CUBRID Foundation

Robert Friberg et al

Pinecone Systems, Inc

Rockset

YottaDB, LLC

Initial release

2008

2009

under the name LiveDB

2019

2001

Current release

11.0, January 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

commercial

Open Source

AGPL 3.0

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, C++, Java

C++

Server operating systems

Linux
Windows

hosted

Docker
Linux

Data scheme

yes

schema-free

Typing

predefined data types such as float or date

yes

User defined using .NET types and collections

String, Number, Boolean

dynamic typing

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.

can be achieved using .NET

ingestion from XML files supported

Secondary indexes

yes

all fields are automatically indexed

SQL

Support of SQL

yes

Read-only SQL queries, including JOINs

by using the Octo plugin

APIs and other access methods

ADO.NET
JDBC
ODBC
OLE DB

.NET Client API
HTTP API
LINQ

RESTful HTTP API

HTTP REST

PostgreSQL wire protocol

using the Octo plugin
Proprietary protocol

Supported programming languages

C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby

.Net

Python

Go
Java
JavaScript (Node.js)
Python

C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust

Server-side scripts

Stored procedures

Java Stored Procedures

yes

Triggers

yes

Domain Events

Partitioning methods

Methods for storing different data on different nodes

none

horizontal partitioning

client side managed; servers are not synchronized

Automatic sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes

MapReduce

Offers an API for user-defined Map/Reduce methods

Consistency concepts

Methods to ensure consistency in a distributed system

Immediate Consistency

Eventual Consistency

Foreign keys

Referential integrity

yes

depending on model

Transaction concepts

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

ACID

optimistic locking

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

yes

Write ahead log

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

fine grained access rights according to SQL-standard

Role based authorization

Access rights for users and organizations can be defined via Rockset console

Users and groups based on OS-security mechanisms

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More resources

DB-Engines blog posts

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2 June 2023, Matthias Gelbmann

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