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DBMS > Amazon DocumentDB vs. Derby vs. GigaSpaces vs. Microsoft Azure AI Search vs. Yaacomo

System Properties Comparison Amazon DocumentDB vs. Derby vs. GigaSpaces vs. Microsoft Azure AI Search vs. Yaacomo

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsSearch-as-a-service for web and mobile app developmentOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument storeRelational DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Search engineRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.97
Rank#192  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.59
Rank#63  Overall
#7  Search engines
Websiteaws.amazon.com/­documentdbdb.apache.org/­derbywww.gigaspaces.comazure.microsoft.com/­en-us/­services/­searchyaacomo.com
Technical documentationaws.amazon.com/­documentdb/­resourcesdb.apache.org/­derby/­manuals/­index.htmldocs.gigaspaces.com/­latest/­landing.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperApache Software FoundationGigaspaces TechnologiesMicrosoftQ2WEB GmbH
Initial release20191997200020152009
Current release10.17.1.0, November 202315.5, September 2020V1
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoApache Version 2; Commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava, C++, .Net
Server operating systemshostedAll OS with a Java VMLinux
macOS
Solaris
Windows
hostedAndroid
Linux
Windows
Data schemeschema-freeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 infoXML can be used for describing objects metadatanono
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoyesSQL-99 for query and DML statementsnoyes
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)JDBCGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
RESTful HTTP APIJDBC
ODBC
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Java.Net
C++
Java
Python
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoJava Stored Proceduresyesno
Triggersnoyesyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replicationMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesnoyes
User concepts infoAccess controlAccess rights for users and rolesfine grained access rights according to SQL-standardRole-based access controlyes infousing Azure authenticationfine grained access rights according to SQL-standard

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More resources
Amazon DocumentDBDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBGigaSpacesMicrosoft Azure AI SearchYaacomo
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