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DBMS > AlaSQL vs. Apache Phoenix vs. HBase vs. Postgres-XL

System Properties Comparison AlaSQL vs. Apache Phoenix vs. HBase vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonApache Phoenix  Xexclude from comparisonHBase  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionJavaScript DBMS libraryA scale-out RDBMS with evolutionary schema built on Apache HBaseWide-column store based on Apache Hadoop and on concepts of BigTableBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelDocument store
Relational DBMS
Relational DBMSWide column storeRelational DBMS
Secondary database modelsDocument store
Spatial 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
Score30.50
Rank#26  Overall
#2  Wide column stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitealasql.orgphoenix.apache.orghbase.apache.orgwww.postgres-xl.org
Technical documentationgithub.com/­AlaSQL/­alasqlphoenix.apache.orghbase.apache.org/­book.htmlwww.postgres-xl.org/­documentation
DeveloperAndrey Gershun & Mathias R. WulffApache Software FoundationApache Software Foundation infoApache top-level project, originally developed by Powerset
Initial release2014201420082014 infosince 2012, originally named StormDB
Current release5.0-HBase2, July 2018 and 4.15-HBase1, December 20192.3.4, January 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2.0Open Source infoApache version 2Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaScriptJavaJavaC
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)Linux
Unix
Windows
Linux
Unix
Windows infousing Cygwin
Linux
macOS
Data schemeschema-freeyes infolate-bound, schema-on-read capabilitiesschema-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.nononoyes infoXML type, but no XML query functionality
Secondary indexesnoyesnoyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesnoyes infodistributed, parallel query execution
APIs and other access methodsJavaScript APIJDBCJava API
RESTful HTTP API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesJavaScriptC
C#
C++
Go
Groovy
Java
PHP
Python
Scala
C
C#
C++
Groovy
Java
PHP
Python
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnouser defined functionsyes infoCoprocessors in Javauser defined functions
Triggersyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
Source-replica replication
Multi-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual ConsistencyImmediate Consistency or Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
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 infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesyesno
User concepts infoAccess controlnoAccess Control Lists (using HBase ACL) for RBAC, integration with Apache Ranger for RBAC & ABAC, multi-tenancyAccess Control Lists (ACL) for RBAC, integration with Apache Ranger for RBAC & ABACfine grained access rights according to SQL-standard

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More resources
AlaSQLApache PhoenixHBasePostgres-XL
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