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DBMS > AlaSQL vs. Atos Standard Common Repository vs. Ehcache vs. EJDB vs. Faircom EDGE

System Properties Comparison AlaSQL vs. Atos Standard Common Repository vs. Ehcache vs. EJDB vs. Faircom EDGE

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonEhcache  Xexclude from comparisonEJDB  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA widely adopted Java cache with tiered storage optionsEmbeddable document-store database library with JSON representation of queries (in MongoDB style)FairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environments
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Key-value storeDocument storeKey-value store
Relational 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
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.31
Rank#296  Overall
#44  Document stores
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Websitealasql.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.ehcache.orggithub.com/­Softmotions/­ejdbwww.faircom.com/­products/­faircom-edge
Technical documentationgithub.com/­AlaSQL/­alasqlwww.ehcache.org/­documentationgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.html
DeveloperAndrey Gershun & Mathias R. WulffAtos Convergence CreatorsTerracotta Inc, owned by Software AGSoftmotionsFairCom Corporation
Initial release20142016200920121979
Current release17033.10.0, March 2022V3, October 2020
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoApache Version 2; commercial licenses availableOpen Source infoGPLv2commercial infoRestricted, free version available
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJavaCANSI C, C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxAll OS with a Java VMserver-lessAndroid
Linux infoARM, x86
Raspbian
Windows
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-freeschema-freeFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or datenooptionalyesyes infostring, integer, double, bool, date, object_idyes, ANSI Standard SQL Types
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.noyesnoyes
Secondary indexesnoyesnonoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.nononoyes infoANSI SQL queries
APIs and other access methodsJavaScript APILDAPJCachein-process shared libraryADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
Supported programming languagesJavaScriptAll languages with LDAP bindingsJavaActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C
C#
C++
Java
JavaScript
PHP
Python
VB.Net
Server-side scripts infoStored proceduresnonononoyes info.Net, JavaScript, C/C++
Triggersyesyesyes infoCache Event Listenersnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionSharding infoby using Terracotta ServernoneFile partitioning infoCustomizable business rules for partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesyes infoby using Terracotta Servernoneyes infoSynchronous and asynchronous realtime replication based on transaction logs
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Tunable Consistency
Foreign keys infoReferential integrityyesnonono infotypically not needed, however similar functionality with collection joins possibleyes infowhen using SQL
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic execution of specific operationsyes infosupports JTA and can work as an XA resourcenoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyes infoacross SQL and NoSQL
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyes infousing a tiered cache-storage approachyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnoLDAP bind authenticationnonoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.

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More resources
AlaSQLAtos Standard Common RepositoryEhcacheEJDBFaircom EDGE infoformerly c-treeEDGE
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