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DBMS > Amazon DocumentDB vs. Geode vs. GridGain vs. OrientDB

System Properties Comparison Amazon DocumentDB vs. Geode vs. GridGain vs. OrientDB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGeode  Xexclude from comparisonGridGain  Xexclude from comparisonOrientDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesGridGain is an in-memory computing platform, built on Apache IgniteMulti-model DBMS (Document, Graph, Key/Value)
Primary database modelDocument storeKey-value storeKey-value store
Relational DBMS
Document store
Graph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.86
Rank#134  Overall
#24  Key-value stores
Score1.55
Rank#150  Overall
#26  Key-value stores
#70  Relational DBMS
Score3.25
Rank#89  Overall
#16  Document stores
#6  Graph DBMS
#13  Key-value stores
Websiteaws.amazon.com/­documentdbgeode.apache.orgwww.gridgain.comorientdb.org
Technical documentationaws.amazon.com/­documentdb/­resourcesgeode.apache.org/­docswww.gridgain.com/­docs/­index.htmlwww.orientdb.com/­docs/­last/­index.html
DeveloperOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.GridGain Systems, Inc.OrientDB LTD; CallidusCloud; SAP
Initial release2019200220072010
Current release1.1, February 2017GridGain 8.5.13.2.29, March 2024
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses available as GemfirecommercialOpen Source infoApache version 2
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .NetJava
Server operating systemshostedAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
OS X
Solaris
Windows
All OS with a Java JDK (>= JDK 6)
Data schemeschema-freeschema-freeyesschema-free infoSchema can be enforced for whole record ("schema-full") or for some fields only ("schema-hybrid")
Typing infopredefined data types such as float or dateyesyesyesyes
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.nonoyesno
Secondary indexesyesnoyesyes
SQL infoSupport of SQLnoSQL-like query language (OQL)ANSI-99 for query and DML statements, subset of DDLSQL-like query language, no joins
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Java Client API
Memcached protocol
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Tinkerpop technology stack with Blueprints, Gremlin, Pipes
Java API
RESTful HTTP/JSON API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C#
C++
Clojure
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Scala
Server-side scripts infoStored proceduresnouser defined functionsyes (compute grid and cache interceptors can be used instead)Java, Javascript
Triggersnoyes infoCache Event Listenersyes (cache interceptors and events)Hooks
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replicationyes (replicated cache)Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes (compute grid and hadoop accelerator)no infocould be achieved with distributed queries
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyes inforelationship in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsyes, on a single nodeACIDACID
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.yesyes
User concepts infoAccess controlAccess rights for users and rolesAccess rights per client and object definableSecurity Hooks for custom implementationsAccess rights for users and roles; record level security configurable

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