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DBMS > HEAVY.AI vs. jBASE vs. LevelDB vs. Percona Server for MongoDB vs. Realm

System Properties Comparison HEAVY.AI vs. jBASE vs. LevelDB vs. Percona Server for MongoDB vs. Realm

Editorial information provided by DB-Engines
NameHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonjBASE  Xexclude from comparisonLevelDB  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionA 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 middlewareEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA drop-in replacement for MongoDB Community Edition with enterprise-grade features.A DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelRelational DBMSMultivalue DBMSKey-value storeDocument storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score1.41
Rank#159  Overall
#3  Multivalue DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.52
Rank#254  Overall
#39  Document stores
Score7.60
Rank#52  Overall
#9  Document stores
Websitegithub.com/­heavyai/­heavydb
www.heavy.ai
www.rocketsoftware.com/­products/­rocket-multivalue-application-development-platform/­rocket-jbasegithub.com/­google/­leveldbwww.percona.com/­mongodb/­software/­percona-server-for-mongodbrealm.io
Technical documentationdocs.heavy.aidocs.rocketsoftware.com/­bundle?labelkey=jbase_5.9github.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.percona.com/­percona-distribution-for-mongodbrealm.io/­docs
DeveloperHEAVY.AI, Inc.Rocket Software (formerly Zumasys)GooglePerconaRealm, acquired by MongoDB in May 2019
Initial release20161991201120152014
Current release5.10, January 20225.71.23, February 20213.4.10-2.10, November 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2; enterprise edition availablecommercialOpen Source infoBSDOpen Source infoGPL Version 2Open Source
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 languageC++ and CUDAC++C++
Server operating systemsLinuxAIX
Linux
Windows
Illumos
Linux
OS X
Windows
LinuxAndroid
Backend: server-less
iOS
Windows
Data schemeyesschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesoptionalnoyesyes
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.noyesnonono
Secondary indexesnonoyesyes
SQL infoSupport of SQLyesEmbedded SQL for jBASE in BASICnonono
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
SOAP-based API
proprietary protocol using JSON
Supported programming languagesAll languages supporting JDBC/ODBC/Thrift
Python
.Net
Basic
Jabbascript
Java
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
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
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyesnoJavaScriptno inforuns within the applications so server-side scripts are unnecessary
Triggersnoyesnonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infoRound robinShardingnoneShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationyesnoneSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes infovia In-Memory Engineyes infoIn-Memory realm
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights can be defined down to the item levelnoAccess rights for users and rolesyes

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More resources
HEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022jBASELevelDBPercona Server for MongoDBRealm
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