DBMS > Apache Pinot vs. Cubrid

System Properties Comparison Apache Pinot vs. Cubrid

Please select another system to include it in the comparison.

Our visitors often compare Apache Pinot and Cubrid with MySQL, PostgreSQL and MongoDB.

Editorial information provided by DB-Engines

Name

Description

Realtime distributed OLAP datastore, designed to answer OLAP queries with low latency

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

Primary database model

Relational DBMS

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

Score	0.39
Rank	#262	Overall
	#121	Relational DBMS

Score	0.89
Rank	#201	Overall
	#94	Relational DBMS

Website

pinot.apache.org

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

Technical documentation

docs.pinot.apache.org

cubrid.org/manuals

Developer

Apache Software Foundation and contributors

CUBRID Corporation, CUBRID Foundation

Initial release

2015

2008

Current release

1.0.0, September 2023

11.0, January 2021

License

Commercial or Open Source

Open Source

Apache Version 2.0

Open Source

Apache Version 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

Java

C, C++, Java

Server operating systems

All OS with a Java JDK11 or higher

Linux
Windows

Data scheme

yes

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

SQL-like query language

yes

APIs and other access methods

JDBC

ADO.NET
JDBC
ODBC
OLE DB

Supported programming languages

Go
Java
Python

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

Server-side scripts

Stored procedures

Java Stored Procedures

Triggers

yes

Partitioning methods

Methods for storing different data on different nodes

horizontal partitioning

none

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

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

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.

User concepts

Access control

fine grained access rights according to SQL-standard

More information provided by the system vendor

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources

Recent citations in the news

Deploy real-time analytics with StarTree for managed Apache Pinot on AWS
13 March 2025, AWS Blog

Serving Millions of Apache Pinot™ Queries with Neutrino
11 December 2024, Uber

StarTree eyes observability market with Apache Pinot-based real-time engine
27 September 2024, SiliconANGLE News

Apache Pinot Brings Real Time Analysis to Columnar Data
13 December 2024, The New Stack

Apache Pinot Vulnerability Let Remote Attackers Bypass Authentication
7 March 2025, CybersecurityNews

provided by Google News

Share this page