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DBMS > AlaSQL vs. Apache Druid vs. Drizzle vs. H2 vs. Hive

System Properties Comparison AlaSQL vs. Apache Druid vs. Drizzle vs. H2 vs. Hive

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Druid  Xexclude from comparisonDrizzle  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparison
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 libraryOpen-source analytics data store designed for sub-second OLAP queries on high dimensionality and high cardinality dataMySQL 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
Relational DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial 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
Score3.34
Rank#88  Overall
#48  Relational DBMS
#7  Time Series DBMS
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Websitealasql.orgdruid.apache.orgwww.h2database.comhive.apache.org
Technical documentationgithub.com/­AlaSQL/­alasqldruid.apache.org/­docs/­latest/­designwww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAndrey Gershun & Mathias R. WulffApache Software Foundation and contributorsDrizzle project, originally started by Brian AkerThomas MuellerApache Software Foundation infoinitially developed by Facebook
Initial release20142012200820052012
Current release29.0.1, April 20247.2.4, September 20122.2.220, July 20233.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache license v2Open 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

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaScriptJavaC++JavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Unix
FreeBSD
Linux
OS X
All OS with a Java VMAll OS with a Java VM
Data schemeschema-freeyes infoschema-less columns are supportedyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes
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.nonono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.SQL for queryingyes infowith proprietary extensionsyesSQL-like DML and DDL statements
APIs and other access methodsJavaScript APIJDBC
RESTful HTTP/JSON API
JDBCJDBC
ODBC
JDBC
ODBC
Thrift
Supported programming languagesJavaScriptClojure
JavaScript
PHP
Python
R
Ruby
Scala
C
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
Triggersyesnono infohooks for callbacks inside the server can be used.yesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infomanual/auto, time-basedShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyes, via HDFS, S3 or other storage enginesMulti-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 methodsnonononoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate 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-storagenoACIDACIDno
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.yesnoyes
User concepts infoAccess controlnoRBAC using LDAP or Druid internals for users and groups for read/write by datasource and systemPluggable 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
AlaSQLApache DruidDrizzleH2Hive
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