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DBMS > AgensGraph vs. Amazon CloudSearch vs. GigaSpaces

System Properties Comparison AgensGraph vs. Amazon CloudSearch vs. GigaSpaces

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonAmazon CloudSearch  Xexclude from comparisonGigaSpaces  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLA hosted search engine service by Amazon with the data stored in Amazons cloudHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented Transactions
Primary database modelGraph DBMS
Relational DBMS
Search engineDocument store
Object oriented DBMS infoValues are user defined objects
Secondary database modelsGraph DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.19
Rank#316  Overall
#28  Graph DBMS
#139  Relational DBMS
Score1.61
Rank#135  Overall
#12  Search engines
Score1.14
Rank#171  Overall
#28  Document stores
#6  Object oriented DBMS
Websitebitnine.net/­agensgraphaws.amazon.com/­cloudsearchwww.gigaspaces.com
Technical documentationbitnine.net/­documentationdocs.aws.amazon.com/­cloudsearchdocs.gigaspaces.com/­latest/­landing.html
DeveloperBitnine Global Inc.AmazonGigaspaces Technologies
Initial release201620122000
Current release2.1, December 201815.5, September 2020
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache Version 2; Commercial licenses available
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJava, C++, .Net
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
Solaris
Windows
Data schemedepending on used data modelyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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 metadata
Secondary indexesyesyes infoall search fields are automatically indexedyes
SQL infoSupport of SQLyesnoSQL-99 for query and DML statements
APIs and other access methodsCypher Query Language
JDBC
HTTP APIGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Supported programming languagesC
Java
JavaScript
Python
.Net
C++
Java
Python
Scala
Server-side scripts infoStored proceduresyesnoyes
Triggersnonoyes, event driven architecture
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceyes infoautomatic partitioning across Amazon Search Instance as requiredSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyes infomanaged transparently by AWSMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executors
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANY
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlfine grained access rights according to SQL-standardauthentication via encrypted signaturesRole-based access control

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More resources
AgensGraphAmazon CloudSearchGigaSpaces
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