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DBMS > AlaSQL vs. H2 vs. HBase vs. Splice Machine

System Properties Comparison AlaSQL vs. H2 vs. HBase vs. Splice Machine

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonH2  Xexclude from comparisonHBase  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryFull-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 BigTableOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Relational DBMSWide column storeRelational 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
Score31.60
Rank#26  Overall
#2  Wide column stores
Score0.54
Rank#257  Overall
#118  Relational DBMS
Websitealasql.orgwww.h2database.comhbase.apache.orgsplicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqlwww.h2database.com/­html/­main.htmlhbase.apache.org/­book.htmlsplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffThomas MuellerApache Software Foundation infoApache top-level project, originally developed by PowersetSplice Machine
Initial release2014200520082014
Current release2.2.220, July 20232.3.4, January 20213.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache version 2Open Source infoAGPL 3.0, commercial license available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJavaJava
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)All OS with a Java VMLinux
Unix
Windows infousing Cygwin
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesschema-free, schema definition possibleyes
Typing infopredefined data types such as float or datenoyesoptions 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.nonono
Secondary indexesnoyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnoyes
APIs and other access methodsJavaScript APIJDBC
ODBC
Java API
RESTful HTTP API
Thrift
JDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScriptJavaC
C#
C++
Groovy
Java
PHP
Python
Scala
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoJava Stored Procedures and User-Defined Functionsyes infoCoprocessors in Javayes infoJava
Triggersyesyesyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneWith clustering: 2 database servers on different computers operate on identical copies of a databaseMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDSingle row ACID (across millions of columns)ACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes infoby using IndexedDB, SQL.JS or proprietary FileStorageyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyesyes
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACAccess rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLH2HBaseSplice Machine
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