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DBMS > Geode vs. Google Cloud Datastore vs. MonetDB vs. PouchDB

System Properties Comparison Geode vs. Google Cloud Datastore vs. MonetDB vs. PouchDB

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Editorial information provided by DB-Engines
NameGeode  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMonetDB  Xexclude from comparisonPouchDB  Xexclude from comparison
DescriptionGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesAutomatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformA relational database management system that stores data in columnsJavaScript DBMS with an API inspired by CouchDB
Primary database modelKey-value storeDocument storeRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.86
Rank#134  Overall
#24  Key-value stores
Score4.36
Rank#72  Overall
#12  Document stores
Score1.72
Rank#141  Overall
#64  Relational DBMS
Score2.34
Rank#112  Overall
#21  Document stores
Websitegeode.apache.orgcloud.google.com/­datastorewww.monetdb.orgpouchdb.com
Technical documentationgeode.apache.org/­docscloud.google.com/­datastore/­docswww.monetdb.org/­Documentationpouchdb.com/­guides
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GoogleMonetDB BVApache Software Foundation
Initial release2002200820042012
Current release1.1, February 2017Dec2023 (11.49), December 20237.1.1, June 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoMozilla Public License 2.0Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCJavaScript
Server operating systemsAll OS with a Java VM infothe JDK (8 or later) is also requiredhostedFreeBSD
Linux
OS X
Solaris
Windows
server-less, requires a JavaScript environment (browser, Node.js)
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes, details hereyesno
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 indexesnoyesyesyes infovia views
SQL infoSupport of SQLSQL-like query language (OQL)SQL-like query language (GQL)yes infoSQL 2003 with some extensionsno
APIs and other access methodsJava Client API
Memcached protocol
RESTful HTTP API
gRPC (using protocol buffers) API
RESTful HTTP/JSON API
JDBC
native C library infoMAPI library (MonetDB application programming interface)
ODBC
HTTP REST infoonly for PouchDB Server
JavaScript API
Supported programming languages.Net
All JVM based languages
C++
Groovy
Java
Scala
.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
C
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
JavaScript
Server-side scripts infoStored proceduresuser defined functionsusing Google App Engineyes, in SQL, C, RView functions in JavaScript
Triggersyes infoCache Event ListenersCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding via remote tablesSharding infowith a proxy-based framework, named couchdb-lounge
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication using Paxosnone infoSource-replica replication available in experimental statusMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Eventual Consistency
Foreign keys infoReferential integritynoyes infovia ReferenceProperties or Ancestor pathsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes, on a single nodeACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using IndexedDB, WebSQL or LevelDB as backend
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes
User concepts infoAccess controlAccess rights per client and object definableAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardno

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More resources
GeodeGoogle Cloud DatastoreMonetDBPouchDB
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