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DBMS > AlaSQL vs. Amazon Neptune vs. GigaSpaces vs. jBASE vs. openGauss

System Properties Comparison AlaSQL vs. Amazon Neptune vs. GigaSpaces vs. jBASE vs. openGauss

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonGigaSpaces  Xexclude from comparisonjBASE  Xexclude from comparisonopenGauss  Xexclude from comparison
DescriptionJavaScript DBMS libraryFast, reliable graph database built for the cloudHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA robust multi-value DBMS comprising development tools and middlewareAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Document store
Object oriented DBMS infoValues are user defined objects
Multivalue DBMSRelational DBMS
Secondary database modelsGraph DBMS
Search engine
Document store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#256  Overall
#40  Document stores
#118  Relational DBMS
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Score1.06
Rank#184  Overall
#84  Relational DBMS
Websitealasql.orgaws.amazon.com/­neptunewww.gigaspaces.comwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegitee.com/­opengauss
opengauss.org
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­neptune/­developer-resourcesdocs.gigaspaces.com/­latest/­landing.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperAndrey Gershun & Mathias R. WulffAmazonGigaspaces TechnologiesRocket Software (formerly Zumasys)Huawei and openGauss community
Initial release20142017200019912019
Current release15.5, September 20205.73.0, March 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2; Commercial licenses availablecommercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJava, C++, .NetC, C++, Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinux
macOS
Solaris
Windows
AIX
Linux
Windows
Linux
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyesyesoptionalyes
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 infoXML can be used for describing objects metadatayesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noSQL-99 for query and DML statementsEmbedded SQL for jBASE in BASICANSI SQL 2011
APIs and other access methodsJavaScript APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
Supported programming languagesJavaScriptC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
.Net
C++
Java
Python
Scala
.Net
Basic
Jabbascript
Java
C
C++
Java
Server-side scripts infoStored proceduresnonoyesyesyes
Triggersyesnoyes, event driven architectureyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShardinghorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.Multi-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infoMap-Reduce pattern can be built with XAP task executorsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyes infowith encyption-at-restyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesno
User concepts infoAccess controlnoAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Role-based access controlAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLAmazon NeptuneGigaSpacesjBASEopenGauss
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