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DBMS > Apache Druid vs. Cubrid vs. Dolt vs. HBase

System Properties Comparison Apache Druid vs. Cubrid vs. Dolt vs. HBase

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonCubrid  Xexclude from comparisonDolt  Xexclude from comparisonHBase  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 OLTPA MySQL compatible DBMS with Git-like versioning of data and schemaWide-column store based on Apache Hadoop and on concepts of BigTable
Primary database modelRelational DBMS
Time Series DBMS
Relational DBMSRelational DBMSWide column store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.25
Rank#90  Overall
#47  Relational DBMS
#7  Time Series DBMS
Score1.04
Rank#187  Overall
#87  Relational DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Websitedruid.apache.orgcubrid.com (korean)
cubrid.org (english)
github.com/­dolthub/­dolt
www.dolthub.com
hbase.apache.org
Technical documentationdruid.apache.org/­docs/­latest/­designcubrid.org/­manualsdocs.dolthub.comhbase.apache.org/­book.html
DeveloperApache Software Foundation and contributorsCUBRID Corporation, CUBRID FoundationDoltHub IncApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2012200820182008
Current release29.0.1, April 202411.0, January 20212.3.4, January 2021
License infoCommercial or Open SourceOpen Source infoApache license v2Open Source infoApache Version 2.0Open Source infoApache Version 2.0Open Source infoApache version 2
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, JavaGoJava
Server operating systemsLinux
OS X
Unix
Linux
Windows
Linux
macOS
Windows
Linux
Unix
Windows infousing Cygwin
Data schemeyes infoschema-less columns are supportedyesyesschema-free, schema definition possible
Typing infopredefined data types such as float or dateyesyesyesoptions to bring your own types, AVRO
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.nononono
Secondary indexesyesyesyesno
SQL infoSupport of SQLSQL for queryingyesyesno
APIs and other access methodsJDBC
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
OLE DB
CLI Client
HTTP REST
Java API
RESTful HTTP API
Thrift
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Groovy
Java
PHP
Python
Scala
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes infocurrently in alpha releaseyes infoCoprocessors in Java
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basednonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesSource-replica replicationA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDSingle row ACID (across millions of columns)
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
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-standardOnly one user is configurable, and must be specified in the config file at startupAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC

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More resources
Apache DruidCubridDoltHBase
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