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DBMS > AlaSQL vs. Faircom EDGE vs. H2 vs. HBase vs. Microsoft Azure AI Search

System Properties Comparison AlaSQL vs. Faircom EDGE vs. H2 vs. HBase vs. Microsoft Azure AI Search

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonFaircom EDGE infoformerly c-treeEDGE  Xexclude from comparisonH2  Xexclude from comparisonHBase  Xexclude from comparisonMicrosoft Azure AI Search  Xexclude from comparison
DescriptionJavaScript DBMS libraryFairCom EDGE is an Industry 4.0 solution built to integrate, collect, aggregate and synchronize mission-critical data in edge computing environmentsFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Wide-column store based on Apache Hadoop and on concepts of BigTableSearch-as-a-service for web and mobile app development
Primary database modelDocument store
Relational DBMS
Key-value store
Relational DBMS
Relational DBMSWide column storeSearch engine
Secondary database modelsSpatial DBMSVector 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
Score0.09
Rank#362  Overall
#53  Key-value stores
#155  Relational DBMS
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score27.97
Rank#26  Overall
#2  Wide column stores
Score5.52
Rank#59  Overall
#6  Search engines
Websitealasql.orgwww.faircom.com/­products/­faircom-edgewww.h2database.comhbase.apache.orgazure.microsoft.com/­en-us/­services/­search
Technical documentationgithub.com/­AlaSQL/­alasqldocs.faircom.com/­docs/­en/­UUID-23d4f1fd-d213-f6d5-b92e-9b7475baa14e.htmlwww.h2database.com/­html/­main.htmlhbase.apache.org/­book.htmllearn.microsoft.com/­en-us/­azure/­search
DeveloperAndrey Gershun & Mathias R. WulffFairCom CorporationThomas MuellerApache Software Foundation infoApache top-level project, originally developed by PowersetMicrosoft
Initial release20141979200520082015
Current releaseV3, October 20202.2.220, July 20232.3.4, January 2021V1
License infoCommercial or Open SourceOpen Source infoMIT-Licensecommercial infoRestricted, free version availableOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache version 2commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptANSI C, C++JavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Android
Linux infoARM, x86
Raspbian
Windows
All OS with a Java VMLinux
Unix
Windows infousing Cygwin
hosted
Data schemeschema-freeFlexible Schema (defined schema, partial schema, schema free)yesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyes, ANSI Standard SQL Typesyesoptions to bring your own types, AVROyes
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.noyesnonono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yes infoANSI SQL queriesyesnono
APIs and other access methodsJavaScript APIADO.NET
Direct SQL
IoT Microservice layer
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
RESTful HTTP API
JDBC
ODBC
Java API
RESTful HTTP API
Thrift
RESTful HTTP API
Supported programming languagesJavaScriptC
C#
C++
Java
JavaScript
PHP
Python
VB.Net
JavaC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
Java
JavaScript
Python
Server-side scripts infoStored proceduresnoyes info.Net, JavaScript, C/C++Java Stored Procedures and User-Defined Functionsyes infoCoprocessors in Javano
Triggersyesyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneFile partitioning infoCustomizable business rules for partitioningnoneShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes infoSynchronous and asynchronous realtime replication based on transaction logsWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency
Tunable Consistency
Immediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyes infowhen using SQLyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDSingle row ACID (across millions of columns)no
Concurrency infoSupport for concurrent manipulation of datayes infoacross SQL and NoSQLyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyesno
User concepts infoAccess controlnoFine grained user, group and file access rights managed across SQL (per ANSI standard) and NoSQL.fine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACyes infousing Azure authentication

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More resources
AlaSQLFaircom EDGE infoformerly c-treeEDGEH2HBaseMicrosoft Azure AI Search
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