DB-EnginesInfluxDB: Focus on building software with an easy-to-use serverless, scalable time series platformEnglish
Deutsch
Knowledge Base of Relational and NoSQL Database Management Systemsprovided by solid IT

DBMS > Apache Druid vs. Cubrid vs. Linter

System Properties Comparison Apache Druid vs. Cubrid vs. Linter

Please select another system to include it in the comparison.

Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCubrid  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataCUBRID is an open-source SQL-based relational database management system with object extensions for OLTPRDBMS for high security requirements
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.44
Rank#93  Overall
#49  Relational DBMS
#6  Time Series DBMS
Score1.02
Rank#174  Overall
#85  Relational DBMS
Score0.03
Rank#335  Overall
#143  Relational DBMS
Websitedruid.apache.orgcubrid.com (korean)
cubrid.org (english)
linter.ru/­en
Technical documentationdruid.apache.org/­docs/­latest/­designcubrid.org/­manuals
DeveloperApache Software Foundation and contributorsCUBRID Corporation, CUBRID Foundationrelex.ru/­en
Initial release201220081990
Current release0.22.1, December 202111.0, January 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC, C++, JavaC and C++
Server operating systemsLinux
OS X
Unix
Linux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyes infoschema-less columns are supportedyesyes
Typing infopredefined data types such as float or dateyesyesyes
XML support infoSome form of processing data in XML format, e.g. support for XML data structures, and/or support for XPath, XQuery or XSLT.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL for queryingyesyes
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemfine grained access rights according to SQL-standardfine 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
Apache DruidCubridLinter
Recent citations in the news

The Rise of a New Analytics Hero in 2022
10 January 2022, socPub

Rise of Analytics Heroes and Other Trends to Watch Out for in 2022
6 January 2022, CXOToday.com

Imply to Debut Accreditation Program for Apache Druid® Basics, Giving Developers the Foundation for Building Modern Analytics Applications
27 October 2021, Business Wire

Why are your IT people so miserable? Log4j2itis
29 December 2021, Computerworld

Imply Introduces Project Shapeshift, the Next Step in the Evolution of the Druid Experience
9 November 2021, Business Wire

provided by Google News

Job opportunities

Data Engineer
Capgemini, Bristol, CT

Data Engineer
StrongArm Technologies, New York State

DevOps Engineer
Vic.ai, New York State

Software Engineer
Column6, New York, NY

Software Engineer All Seniority Levels
f5, San Jose, CA

jobs by Indeed



Share this page

Featured Products

MariaDB logo

SkySQL, the ultimate
MariaDB cloud, is here.

Get started with SkySQL today!

Couchbase logo

The modern database for enterprise applications. Build fast. Scale Big. Save more.
Get started today.

Datastax Astra logo

Build cloud-native apps fast with Astra, the open-source, multi-cloud stack for
modern data apps.
Get started with 80GB free.

Neo4j logo

See for yourself how a graph database can make your life easier.
Use Neo4j online for free.

Vertica logo

Vertica Accelerator. The fastest analytics and machine learning, delivered as SaaS, with automated setup, administration, and management. Free trial.

Present your product here