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DBMS > BigObject vs. eXtremeDB vs. MonetDB vs. Quasardb

System Properties Comparison BigObject vs. eXtremeDB vs. MonetDB vs. Quasardb

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Editorial information provided by DB-Engines
NameBigObject  Xexclude from comparisoneXtremeDB  Xexclude from comparisonMonetDB  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionAnalytic DBMS for real-time computations and queriesNatively in-memory DBMS with options for persistency, high-availability and clusteringA relational database management system that stores data in columnsDistributed, high-performance timeseries database
Primary database modelRelational DBMS infoa hierachical model (tree) can be imposedRelational DBMS
Time Series DBMS
Relational DBMSTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.13
Rank#333  Overall
#147  Relational DBMS
Score0.74
Rank#223  Overall
#103  Relational DBMS
#18  Time Series DBMS
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitebigobject.iowww.mcobject.comwww.monetdb.orgquasar.ai
Technical documentationdocs.bigobject.iowww.mcobject.com/­docs/­extremedb.htmwww.monetdb.org/­Documentationdoc.quasar.ai/­master
DeveloperBigObject, Inc.McObjectMonetDB BVquasardb
Initial release2015200120042009
Current release8.2, 2021Dec2023 (11.49), December 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercial infofree community edition availablecommercialOpen 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++CC++
Server operating systemsLinux infodistributed as a docker-image
OS X infodistributed as a docker-image (boot2docker)
Windows infodistributed as a docker-image (boot2docker)
AIX
HP-UX
Linux
macOS
Solaris
Windows
FreeBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Windows
Data schemeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes 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.nono infosupport of XML interfaces availableno
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsyes infowith the option: eXtremeSQLyes infoSQL 2003 with some extensionsSQL-like query language
APIs and other access methodsfluentd
ODBC
RESTful HTTP API
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP API
Supported programming languages.Net
C
C#
C++
Java
Lua
Python
Scala
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 proceduresLuayesyes, in SQL, C, Rno
Triggersnoyes infoby defining eventsyesno
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingSharding via remote tablesSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnoneActive Replication Fabricâ„¢ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
none 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 systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoautomatically between fact table and dimension tablesyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoRead/write lock on objects (tables, trees)yes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.yesyesyes infoTransient mode
User concepts infoAccess controlnofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trail
More information provided by the system vendor
BigObjecteXtremeDBMonetDBQuasardb
Specific characteristicseXtremeDB is an in-memory and/or persistent database system that offers an ultra-small...
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Competitive advantageseXtremeDB databases can be modeled relationally or as objects and can utilize SQL...
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Typical application scenariosIoT application across all markets: Industrial Control, Netcom, Telecom, Defense,...
» more
Key customersSchneider Electronics, F5 Networks, TNS, Boeing, Northrop Grumman, GoPro, ViaSat,...
» more
Market metricsWith hundreds of customers and over 30 million devices/applications using the product...
» more
Licensing and pricing modelsFor server use cases, there is a simple per-server license irrespective of the number...
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BigObjecteXtremeDBMonetDBQuasardb
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