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DBMS > BoltDB vs. FoundationDB vs. HEAVY.AI vs. Kinetica vs. Realm

System Properties Comparison BoltDB vs. FoundationDB vs. HEAVY.AI vs. Kinetica vs. Realm

Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonKinetica  Xexclude from comparisonRealm  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.
DescriptionAn embedded key-value store for Go.Ordered key-value store. Core features are complimented by layers.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareFully vectorized database across both GPUs and CPUsA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Relational DBMSRelational DBMSDocument store
Secondary database modelsSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#224  Overall
#32  Key-value stores
Score1.07
Rank#188  Overall
#31  Document stores
#28  Key-value stores
#86  Relational DBMS
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Websitegithub.com/­boltdb/­boltgithub.com/­apple/­foundationdbgithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.comrealm.io
Technical documentationapple.github.io/­foundationdbdocs.heavy.aidocs.kinetica.comrealm.io/­docs
DeveloperFoundationDBHEAVY.AI, Inc.KineticaRealm, acquired by MongoDB in May 2019
Initial release20132013201620122014
Current release6.2.28, November 20205.10, January 20227.1, August 2021
License infoCommercial or Open SourceOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source infoApache Version 2; enterprise edition availablecommercialOpen 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 languageGoC++C++ and CUDAC, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
LinuxLinuxAndroid
Backend: server-less
iOS
Windows
Data schemeschema-freeschema-free infosome layers support schemasyesyesyes
Typing infopredefined data types such as float or datenono infosome layers support typingyesyesyes
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.nononono
Secondary indexesnononoyesyes
SQL infoSupport of SQLnosupported in specific SQL layer onlyyesSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
Vega
JDBC
ODBC
RESTful HTTP API
Supported programming languagesGo.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
All languages supporting JDBC/ODBC/Thrift
Python
C++
Java
JavaScript (Node.js)
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoin SQL-layer onlynouser defined functionsno inforuns within the applications so server-side scripts are unnecessary
Triggersnononoyes infotriggers when inserted values for one or more columns fall within a specified rangeyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infoRound robinShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replicationSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneLinearizable consistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integritynoin SQL-layer onlynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnonoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoGPU vRAM or System RAMyes infoIn-Memory realm
User concepts infoAccess controlnonofine grained access rights according to SQL-standardAccess rights for users and roles on table levelyes

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More resources
BoltDBFoundationDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022KineticaRealm
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