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DBMS > AlaSQL vs. EsgynDB vs. Faircom EDGE vs. Teradata Aster vs. TinkerGraph

System Properties Comparison AlaSQL vs. EsgynDB vs. Faircom EDGE vs. Teradata Aster vs. TinkerGraph

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonEsgynDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonTeradata Aster  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsPlatform for big data analytics on multistructured data sources and typesA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument store
Relational DBMS
Relational DBMSKey-value store
Relational DBMS
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score0.23
Rank#319  Overall
#141  Relational DBMS
Score0.03
Rank#380  Overall
#59  Key-value stores
#157  Relational DBMS
Score0.12
Rank#344  Overall
#34  Graph DBMS
Websitealasql.orgwww.esgyn.cnwww.faircom.com/­products/­faircom-edgetinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationgithub.com/­AlaSQL/­alasqldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperAndrey Gershun & Mathias R. WulffEsgynFairCom CorporationTeradata
Initial release20142015197920052009
Current releaseV3, October 2020
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercialcommercial infoRestricted, free version availablecommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptC++, JavaANSI C, C++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxAndroid
Linux infoARM, x86
Raspbian
Windows
Linux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)Flexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Storeschema-free
Typing infopredefined data types such as float or datenoyesyes, ANSI Standard SQL Typesyesyes
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.nonoyesyes infoin Aster File Storeno
Secondary indexesnoyesyesyesno
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesyes infoANSI SQL queriesyesno
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
ADO.NET
JDBC
ODBC
OLE DB
TinkerPop 3
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBC/ADO.NetC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
C
C#
C++
Java
Python
R
Groovy
Java
Server-side scripts infoStored proceduresnoJava Stored Proceduresyes info.Net, JavaScript, C/C++R packagesno
Triggersyesnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingFile partitioning infoCustomizable business rules for partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication between multi datacentersyes infoSynchronous and asynchronous realtime replication based on transaction logsyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnoyes infoSQL Map-Reduce Frameworkno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency
Tunable Consistency
Immediate Consistency or Eventual Consistency depending on configurationnone
Foreign keys infoReferential integrityyesyesyes infowhen using SQLnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes infoacross SQL and NoSQLyesno
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyesnoyes
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.fine grained access rights according to SQL-standardno

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More resources
AlaSQLEsgynDBFaircom EDGE infoformerly c-treeEDGETeradata AsterTinkerGraph
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