DBMS > Apache Drill vs. Cubrid vs. Lovefield vs. SiteWhere

System Properties Comparison Apache Drill vs. Cubrid vs. Lovefield vs. SiteWhere

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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

Embeddable relational database for web apps written in pure JavaScript

M2M integration platform for persisting/querying time series data

Primary database model

Document store
Relational DBMS

Relational DBMS

Time Series DBMS

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

Score	2.79
Rank	#107	Overall
	#20	Document stores
	#55	Relational DBMS

Score	1.05
Rank	#173	Overall
	#83	Relational DBMS

Score	0.20
Rank	#290	Overall
	#136	Relational DBMS

Score	0.00
Rank	#356	Overall
	#32	Time Series DBMS

Website

drill.apache.org

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

google.github.io/lovefield

sitewhere.io

Technical documentation

drill.apache.org/docs

cubrid.org/manuals

github.com/google/lovefield/blob/master/docs/spec_index.md

sitewhere.io/docs/2.1.0

Developer

Apache Software Foundation

CUBRID Corporation, CUBRID Foundation

Google

SiteWhere

Initial release

2012

2008

2014

2010

Current release

1.19.0, June 2021

11.0, January 2021

2.1.12, February 2017

License

Commercial or Open Source

Open Source

Apache Version 2

Open Source

Apache Version 2.0

Open Source

Apache 2.0

Open Source

Common Public Attribution License Version 1.0

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

JavaScript

Java

Server operating systems

Linux
OS X
Windows

Linux
Windows

server-less, requires a JavaScript environment (browser, Node.js)

tested with Chrome, Firefox, IE, Safari

Linux
OS X
Windows

Data scheme

schema-free

yes

predefined scheme

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

SQL-like query language

via JavaScript builder pattern

APIs and other access methods

JDBC
ODBC
RESTful HTTP API

ADO.NET
JDBC
ODBC
OLE DB

HTTP REST

Supported programming languages

C++

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

JavaScript

Server-side scripts

Stored procedures

user defined functions

Java Stored Procedures

Triggers

yes

Using read-only observers

Partitioning methods

Methods for storing different data on different nodes

Sharding

none

Sharding

based on HBase

Replication methods

Methods for redundantly storing data on multiple nodes

Source-replica replication

none

selectable replication factor

based on HBase

MapReduce

Offers an API for user-defined Map/Reduce methods

yes

Consistency concepts

Methods to ensure consistency in a distributed system

none

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

Depending on the underlying data source

yes

yes, by using IndexedDB or the cloud service Firebase Realtime Database

yes

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

using MemoryDB

User concepts

Access control

Depending on the underlying data source

fine grained access rights according to SQL-standard

Users with fine-grained authorization concept

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More resources

Recent citations in the news

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

Amazon's PartiQL query language eyes all data sources
6 August 2019, TechTarget

Apache Drill Poised to Crack Tough Data Challenges
19 May 2015, Datanami

Connecting Apache Zeppelin and Apache Drill, PostgreSQL, etc.
11 August 2018, Security Boulevard

What is Apache Hadoop? Understanding Hadoop Ecosystem & Architecture | ITBE
9 September 2021, IT Business Edge

provided by Google News

Global IoT Cloud Platform Market to Experience Significant Growth during the Forecast Period 2022-2028 – Designer Women
30 June 2022, Designer Women

provided by Google News

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