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DBMS > AlaSQL vs. Amazon Neptune vs. Atos Standard Common Repository vs. Faircom EDGE vs. jBASE

System Properties Comparison AlaSQL vs. Amazon Neptune vs. Atos Standard Common Repository vs. Faircom EDGE vs. jBASE

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Neptune  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonjBASE  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryFast, reliable graph database built for the cloudHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument store
Relational DBMS
Graph DBMS
RDF store
Document store
Key-value store
Key-value store
Relational DBMS
Multivalue 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
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score1.49
Rank#156  Overall
#3  Multivalue DBMS
Websitealasql.orgaws.amazon.com/­neptuneatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.faircom.com/­products/­faircom-edgewww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationgithub.com/­AlaSQL/­alasqlaws.amazon.com/­neptune/­developer-resourcesdocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAndrey Gershun & Mathias R. WulffAmazonAtos Convergence CreatorsFairCom CorporationRocket Software (formerly Zumasys)
Initial release20142017201619791991
Current release1703V3, October 20205.7
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercialcommercial infoRestricted, free version availablecommercial
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 languageJavaScriptJavaANSI C, C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedLinuxAndroid
Linux infoARM, x86
Raspbian
Windows
AIX
Linux
Windows
Data schemeschema-freeschema-freeSchema and schema-less with LDAP viewsFlexible Schema (defined schema, partial schema, schema free)schema-free
Typing infopredefined data types such as float or datenoyesoptionalyes, ANSI Standard SQL Typesoptional
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.nonoyesyesyes
Secondary indexesnonoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nonoyes infoANSI SQL queriesEmbedded SQL for jBASE in BASIC
APIs and other access methodsJavaScript APIOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
LDAPADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJavaScriptC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
All languages with LDAP bindingsC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnononoyes info.Net, JavaScript, C/C++yes
Triggersyesnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding infocell divisionFile partitioning infoCustomizable business rules for partitioningSharding
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.yesyes infoSynchronous and asynchronous realtime replication based on transaction logsyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesyes infoRelationships in graphsnoyes infowhen using SQLno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDAtomic execution of specific operationsACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoacross SQL and NoSQLyes
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.yesyesyesyes
User concepts infoAccess controlnoAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)LDAP bind authenticationFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.Access rights can be defined down to the item level

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More resources
AlaSQLAmazon NeptuneAtos Standard Common RepositoryFaircom EDGE infoformerly c-treeEDGEjBASE
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