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DBMS > AlaSQL vs. Atos Standard Common Repository vs. Drizzle vs. H2 vs. Hive

System Properties Comparison AlaSQL vs. Atos Standard Common Repository vs. Drizzle vs. H2 vs. Hive

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionJavaScript DBMS libraryHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.data warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.53
Rank#258  Overall
#40  Document stores
#119  Relational DBMS
Score8.14
Rank#50  Overall
#32  Relational DBMS
Score64.82
Rank#18  Overall
#12  Relational DBMS
Websitealasql.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.h2database.comhive.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqlwww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAndrey Gershun & Mathias R. WulffAtos Convergence CreatorsDrizzle project, originally started by Brian AkerThomas MuellerApache Software Foundation infoinitially developed by Facebook
Initial release20142016200820052012
Current release17037.2.4, September 20122.2.220, July 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen Source infoGNU GPLOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaC++JavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxFreeBSD
Linux
OS X
All OS with a Java VMAll OS with a Java VM
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesyes
Typing infopredefined data types such as float or datenooptionalyesyesyes
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.noyesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.noyes infowith proprietary extensionsyesSQL-like DML and DDL statements
APIs and other access methodsJavaScript APILDAPJDBCJDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesJavaScriptAll languages with LDAP bindingsC
C++
Java
PHP
JavaC++
Java
PHP
Python
Server-side scripts infoStored proceduresnononoJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reduce
Triggersyesyesno infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infocell divisionShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
With clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
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.yesyesyes
User concepts infoAccess controlnoLDAP bind authenticationPluggable authentication mechanisms infoe.g. LDAP, HTTPfine grained access rights according to SQL-standardAccess rights for users, groups and roles

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More resources
AlaSQLAtos Standard Common RepositoryDrizzleH2Hive
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