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DBMS > AlaSQL vs. jBASE vs. openGauss vs. Percona Server for MongoDB vs. Splice Machine

System Properties Comparison AlaSQL vs. jBASE vs. openGauss vs. Percona Server for MongoDB vs. Splice Machine

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonjBASE  Xexclude from comparisonopenGauss  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionJavaScript DBMS libraryA robust multi-value DBMS comprising development tools and middlewareAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiA drop-in replacement for MongoDB Community Edition with enterprise-grade features.Open-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and Spark
Primary database modelDocument store
Relational DBMS
Multivalue DBMSRelational DBMSDocument 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
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Websitealasql.orgwww.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegitee.com/­opengauss
opengauss.org
www.percona.com/­mongodb/­software/­percona-server-for-mongodbsplicemachine.com
Technical documentationgithub.com/­AlaSQL/­alasqldocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.percona.com/­percona-distribution-for-mongodbsplicemachine.com/­how-it-works
DeveloperAndrey Gershun & Mathias R. WulffRocket Software (formerly Zumasys)Huawei and openGauss communityPerconaSplice Machine
Initial release20141991201920152014
Current release5.73.0, March 20223.4.10-2.10, November 20173.1, March 2021
License infoCommercial or Open SourceOpen Source infoMIT-LicensecommercialOpen SourceOpen Source infoGPL Version 2Open Source infoAGPL 3.0, commercial license available
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 languageJavaScriptC, C++, JavaC++Java
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)AIX
Linux
Windows
LinuxLinuxLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
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.noyesnono
Secondary indexesnoyesyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.Embedded SQL for jBASE in BASICANSI SQL 2011noyes
APIs and other access methodsJavaScript APIJDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
proprietary protocol using JSONJDBC
Native Spark Datasource
ODBC
Supported programming languagesJavaScript.Net
Basic
Jabbascript
Java
C
C++
Java
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Server-side scripts infoStored proceduresnoyesyesJavaScriptyes infoJava
Triggersyesyesyesnoyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioning (by range, list and hash)ShardingShared Nothhing Auto-Sharding, Columnar Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesYes, via Full Spark Integration
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storageACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, multi-version concurrency control (MVCC)
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.yesyesnoyes infovia In-Memory Engineyes
User concepts infoAccess controlnoAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standardAccess rights for users and rolesAccess rights for users, groups and roles according to SQL-standard

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More resources
AlaSQLjBASEopenGaussPercona Server for MongoDBSplice Machine
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