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DBMS > AlaSQL vs. HEAVY.AI vs. jBASE vs. Kinetica vs. Percona Server for MongoDB

System Properties Comparison AlaSQL vs. HEAVY.AI vs. jBASE vs. Kinetica vs. Percona Server for MongoDB

Editorial information provided by DB-Engines
NameAlaSQL  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonjBASE  Xexclude from comparisonKinetica  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionJavaScript DBMS libraryA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA robust multi-value DBMS comprising development tools and middlewareFully vectorized database across both GPUs and CPUsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelDocument store
Relational DBMS
Relational DBMSMultivalue DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.49
Rank#259  Overall
#40  Document stores
#120  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score1.43
Rank#160  Overall
#3  Multivalue DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score0.55
Rank#253  Overall
#39  Document stores
Websitealasql.orggithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasewww.kinetica.comwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationgithub.com/­AlaSQL/­alasqldocs.heavy.aidocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9docs.kinetica.comdocs.percona.com/­percona-distribution-for-mongodb
DeveloperAndrey Gershun & Mathias R. WulffHEAVY.AI, Inc.Rocket Software (formerly Zumasys)KineticaPercona
Initial release20142016199120122015
Current release5.10, January 20225.77.1, August 20213.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoMIT-LicenseOpen Source infoApache Version 2; enterprise edition availablecommercialcommercialOpen Source infoGPL 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 languageJavaScriptC++ and CUDAC, C++C++
Server operating systemsserver-less, requires a JavaScript environment (browser, Node.js)LinuxAIX
Linux
Windows
LinuxLinux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or datenoyesoptionalyesyes
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.nonoyesnono
Secondary indexesnonoyesyes
SQL infoSupport of SQLClose to SQL99, but no user access control, stored procedures and host language bindings.yesEmbedded SQL for jBASE in BASICSQL-like DML and DDL statementsno
APIs and other access methodsJavaScript APIJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
JDBC
ODBC
RESTful HTTP API
proprietary protocol using JSON
Supported programming languagesJavaScriptAll languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
C++
Java
JavaScript (Node.js)
Python
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
Server-side scripts infoStored proceduresnonoyesuser defined functionsJavaScript
Triggersyesnoyesyes infotriggers when inserted values for one or more columns fall within a specified rangeno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoRound robinShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infoonly for local storage and DOM-storagenoACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesyesyesyes infoGPU vRAM or System RAMyes infovia In-Memory Engine
User concepts infoAccess controlnofine grained access rights according to SQL-standardAccess rights can be defined down to the item levelAccess rights for users and roles on table levelAccess rights for users and roles

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More resources
AlaSQLHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASEKineticaPercona Server for MongoDB
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