DBMS > Apache Drill vs. Cubrid vs. EXASOL vs. Oracle Coherence

System Properties Comparison Apache Drill vs. Cubrid vs. EXASOL vs. Oracle Coherence

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Editorial information provided by DB-Engines

Name

Description

Schema-free SQL Query Engine for Hadoop, NoSQL and Cloud Storage

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

High-performance, in-memory, MPP database specifically designed for in-memory analytics.

Oracles in-memory data grid solution

Primary database model

Document store
Relational DBMS

Relational DBMS

Key-value store

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

Score	1.90
Rank	#126	Overall
	#23	Document stores
	#60	Relational DBMS

Score	0.97
Rank	#189	Overall
	#86	Relational DBMS

Score	1.66
Rank	#138	Overall
	#64	Relational DBMS

Score	1.90
Rank	#127	Overall
	#21	Key-value stores

Website

drill.apache.org

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

www.exasol.com

www.oracle.com/java/coherence

Technical documentation

drill.apache.org/docs

cubrid.org/manuals

www.exasol.com/resources

docs.oracle.com/en/middleware/standalone/coherence

Developer

Apache Software Foundation

CUBRID Corporation, CUBRID Foundation

Exasol

Oracle

Initial release

2012

2008

2000

2007

Current release

1.20.3, January 2023

11.0, January 2021

14.1, August 2023

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

Apache Version 2.0

commercial

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

Java

Server operating systems

Linux
OS X
Windows

Linux
Windows

All OS with a Java VM

Data scheme

schema-free

yes

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

SQL SELECT statement is SQL:2003 compliant

yes

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC
OLE DB

.Net
JDBC
ODBC
WebSocket

JCache
JPA
RESTful HTTP API

Supported programming languages

C++

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

Java
Lua
Python
R

.Net
C++
Java

Server-side scripts

Stored procedures

user defined functions

Java Stored Procedures

user defined functions

Triggers

yes

Live Events

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

yes, with selectable consistency level

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Hadoop integration

Consistency concepts

Methods to ensure consistency in a distributed system

none

Immediate Consistency

Eventual Consistency
Immediate Consistency

Foreign keys

Referential integrity

yes

Transaction concepts

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

ACID

configurable

Concurrency

Support for concurrent manipulation of data

yes

Durability

Support for making data persistent

Depending on the underlying data source

yes

optionally

In-memory capabilities

Is there an option to define some or all structures to be held in-memory only.

Depending on the underlying data source

yes

User concepts

Access control

Depending on the underlying data source

fine grained access rights according to SQL-standard

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

authentification to access the cache via certificates or http basic authentication

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More resources

Recent citations in the news

Apache Drill case study: A tutorial on processing CSV files
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Analyse Kafka messages with SQL queries using Apache Drill
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Apache Drill Adds New Data Formats
28 March 2022, iProgrammer

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11 April 2016, The New Stack

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