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DBMS > Apache Druid vs. jBASE vs. MonetDB vs. Quasardb

System Properties Comparison Apache Druid vs. jBASE vs. MonetDB vs. Quasardb

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Editorial information provided by DB-Engines
NameApache Druid  Xexclude from comparisonjBASE  Xexclude from comparisonMonetDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataA robust multi-value DBMS comprising development tools and middlewareA relational database management system that stores data in columnsDistributed, high-performance timeseries database
Primary database modelRelational DBMS
Time Series DBMS
Multivalue DBMSRelational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitedruid.apache.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.monetdb.orgquasar.ai
Technical documentationdruid.apache.org/­docs/­latest/­designdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9www.monetdb.org/­Documentationdoc.quasar.ai/­master
DeveloperApache Software Foundation and contributorsRocket Software (formerly Zumasys)MonetDB BVquasardb
Initial release2012199120042009
Current release29.0.1, April 20245.7Dec2023 (11.49), December 20233.14.1, January 2024
License infoCommercial or Open SourceOpen Source infoApache license v2commercialOpen Source infoMozilla Public License 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCC++
Server operating systemsLinux
OS X
Unix
AIX
Linux
Windows
FreeBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeyes infoschema-less columns are supportedschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesyes infointeger and binary
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.noyesno
Secondary indexesyesyesyes infowith tags
SQL infoSupport of SQLSQL for queryingEmbedded SQL for jBASE in BASICyes infoSQL 2003 with some extensionsSQL-like query language
APIs and other access methodsJDBC
RESTful HTTP/JSON API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Supported programming languagesClojure
JavaScript
PHP
Python
R
Ruby
Scala
.Net
Basic
Jabbascript
Java
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresnoyesyes, in SQL, C, Rno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infomanual/auto, time-basedShardingSharding via remote tablesSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesyes, via HDFS, S3 or other storage enginesyesnone infoSource-replica replication available in experimental statusSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTransient mode
User concepts infoAccess controlRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemAccess rights can be defined down to the item levelfine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail

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More resources
Apache DruidjBASEMonetDBQuasardb
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