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DBMS > Amazon DocumentDB vs. GigaSpaces vs. LevelDB vs. Postgres-XL vs. searchxml

System Properties Comparison Amazon DocumentDB vs. GigaSpaces vs. LevelDB vs. Postgres-XL vs. searchxml

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGigaSpaces  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonsearchxml  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresDBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument storeDocument store
Object oriented DBMS infoValues are user defined objects
Key-value storeRelational DBMSNative XML DBMS
Search engine
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.25
Rank#115  Overall
#19  Key-value stores
Score0.53
Rank#254  Overall
#117  Relational DBMS
Score0.03
Rank#390  Overall
#7  Native XML DBMS
#24  Search engines
Websiteaws.amazon.com/­documentdbwww.gigaspaces.comgithub.com/­google/­leveldbwww.postgres-xl.orgwww.searchxml.net/­category/­products
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.gigaspaces.com/­latest/­landing.htmlgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgres-xl.org/­documentationwww.searchxml.net/­support/­handouts
DeveloperGigaspaces TechnologiesGoogleinformationpartners gmbh
Initial release2019200020112014 infosince 2012, originally named StormDB2015
Current release15.5, September 20201.23, February 202110 R1, October 20181.0
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial licenses availableOpen Source infoBSDOpen Source infoMozilla public licensecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, C++, .NetC++CC++
Server operating systemshostedLinux
macOS
Solaris
Windows
Illumos
Linux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesnoyesyes
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 infoXML can be used for describing objects metadatanoyes infoXML type, but no XML query functionalityyes
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsnoyes infodistributed, parallel query executionno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C++
Java
Python
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresnoyesnouser defined functionsyes infoon the application server
Triggersnoyes, event driven architecturenoyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
noneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)yes infoMap-Reduce pattern can be built with XAP task executorsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoACID infoMVCCmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesRole-based access controlnofine grained access rights according to SQL-standardDomain, group and role-based access control at the document level and for application services

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More resources
Amazon DocumentDBGigaSpacesLevelDBPostgres-XLsearchxml
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