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DBMS > Geode vs. MonetDB vs. NSDb vs. Postgres-XL

System Properties Comparison Geode vs. MonetDB vs. NSDb vs. Postgres-XL

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonMonetDB  Xexclude from comparisonNSDb  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA relational database management system that stores data in columnsScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelKey-value storeRelational DBMSTime Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.92
Rank#131  Overall
#23  Key-value stores
Score1.72
Rank#145  Overall
#67  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitegeode.apache.orgwww.monetdb.orgnsdb.iowww.postgres-xl.org
Technical documentationgeode.apache.org/­docswww.monetdb.org/­Documentationnsdb.io/­Architecturewww.postgres-xl.org/­documentation
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.MonetDB BV
Initial release2002200420172014 infosince 2012, originally named StormDB
Current release1.1, February 2017Dec2023 (11.49), December 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfireOpen Source infoMozilla Public License 2.0Open Source infoApache Version 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaCJava, ScalaC
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredFreeBSD
Linux
OS X
Solaris
Windows
Linux
macOS
Linux
macOS
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.nonoyes infoXML type, but no XML query functionality
Secondary indexesnoyesall fields are automatically indexedyes
SQL infoSupport of SQLSQL-like query language (OQL)yes infoSQL 2003 with some extensionsSQL-like query languageyes infodistributed, parallel query execution
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresuser defined functionsyes, in SQL, C, Rnouser defined functions
Triggersyes infoCache Event Listenersyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding via remote tablesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnone infoSource-replica replication available in experimental status
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACIDnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlAccess rights per client and object definablefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
GeodeMonetDBNSDbPostgres-XL
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