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DBMS > AlaSQL vs. Apache Phoenix vs. Atos Standard Common Repository vs. Hive vs. Microsoft Access

System Properties Comparison AlaSQL vs. Apache Phoenix vs. Atos Standard Common Repository vs. Hive vs. Microsoft Access

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Phoenix  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonMicrosoft Access  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryA scale-out RDBMS with evolutionary schema built on Apache HBaseHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksdata warehouse software for querying and managing large distributed datasets, built on HadoopMicrosoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)
Primary database modelDocument store
Relational DBMS
Relational DBMSDocument store
Key-value store
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#260  Overall
#40  Document stores
#121  Relational DBMS
Score1.97
Rank#126  Overall
#59  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitealasql.orgphoenix.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orgwww.microsoft.com/­en-us/­microsoft-365/­access
Technical documentationgithub.com/­AlaSQL/­alasqlphoenix.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homedeveloper.microsoft.com/­en-us/­access
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20142014201620121992
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 201917033.1.3, April 20221902 (16.0.11328.20222), March 2019
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2commercial infoBundled with Microsoft Office
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJavaJavaC++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Unix
Windows
LinuxAll OS with a Java VMWindows infoNot a real database server, but making use of DLLs
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesSchema and schema-less with LDAP viewsyesyes
Typing infopredefined data types such as float or datenoyesoptionalyesyes
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.nonoyes
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnoSQL-like DML and DDL statementsyes infobut not compliant to any SQL standard
APIs and other access methodsJavaScript APIJDBCLDAPJDBC
ODBC
Thrift
ADO.NET
DAO
ODBC
OLE DB
Supported programming languagesJavaScriptC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
All languages with LDAP bindingsC++
Java
PHP
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnouser defined functionsnoyes infouser defined functions and integration of map-reduceyes infosince Access 2010 using the ACE-engine
Triggersyesnoyesnoyes infosince Access 2010 using the ACE-engine
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infocell divisionShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
yesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Foreign keys infoReferential integrityyesnononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDAtomic execution of specific operationsnoACID infobut no files for transaction logging
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyesyes infobut no files for transaction logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
User concepts infoAccess controlnoAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyLDAP bind authenticationAccess rights for users, groups and rolesno infoa simple user-level security was built in till version Access 2003

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More resources
AlaSQLApache PhoenixAtos Standard Common RepositoryHiveMicrosoft Access
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