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DBMS > AlaSQL vs. Amazon Aurora vs. Faircom EDGE vs. Graph Engine vs. jBASE

System Properties Comparison AlaSQL vs. Amazon Aurora vs. Faircom EDGE vs. Graph Engine vs. jBASE

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAmazon Aurora  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonjBASE  Xexclude from comparison
DescriptionJavaScript DBMS libraryMySQL and PostgreSQL compatible cloud service by AmazonFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineA robust multi-value DBMS comprising development tools and middleware
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Graph DBMS
Key-value store
Multivalue DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score7.91
Rank#50  Overall
#32  Relational DBMS
Score0.02
Rank#368  Overall
#54  Key-value stores
#156  Relational DBMS
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Websitealasql.orgaws.amazon.com/­rds/­aurorawww.faircom.com/­products/­faircom-edgewww.graphengine.iowww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbase
Technical documentationgithub.com/­AlaSQL/­alasqldocs.aws.amazon.com/­AmazonRDS/­latest/­AuroraUserGuide/­CHAP_Aurora.htmldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.graphengine.io/­docs/­manualdocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9
DeveloperAndrey Gershun & Mathias R. WulffAmazonFairCom CorporationMicrosoftRocket Software (formerly Zumasys)
Initial release20142015197920101991
Current releaseV3, October 20205.7
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercial infoRestricted, free version availableOpen Source infoMIT Licensecommercial
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 languageJavaScriptANSI C, C++.NET and C
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)hostedAndroid
Linux infoARM, x86
Raspbian
Windows
.NETAIX
Linux
Windows
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yesschema-free
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesyesoptional
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.noyesyesnoyes
Secondary indexesnoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesyes infoANSI SQL queriesnoEmbedded SQL for jBASE in BASIC
APIs and other access methodsJavaScript APIADO.NET
JDBC
ODBC
ADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
Supported programming languagesJavaScriptAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C#
C++
F#
Visual Basic
.Net
Basic
Jabbascript
Java
Server-side scripts infoStored proceduresnoyesyes info.Net, JavaScript, C/C++yesyes
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioningFile partitioning infoCustomizable business rules for partitioninghorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationyes 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
Tunable Consistency
Foreign keys infoReferential integrityyesyesyes infowhen using SQLnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardFine 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 AuroraFaircom EDGE infoformerly c-treeEDGEGraph Engine infoformer name: TrinityjBASE
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