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DBMS > Badger vs. Brytlyt vs. eXtremeDB vs. HEAVY.AI vs. ObjectBox

System Properties Comparison Badger vs. Brytlyt vs. eXtremeDB vs. HEAVY.AI vs. ObjectBox

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBrytlyt  Xexclude from comparisoneXtremeDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonObjectBox  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Scalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLNatively in-memory DBMS with options for persistency, high-availability and clusteringA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareLightweight, fast on-device database for IoT, Mobile and Embedded devices, persisting and synchronising objects and vectors
Primary database modelKey-value storeRelational DBMSRelational DBMS
Time Series DBMS
Relational DBMSObject oriented DBMS
Vector DBMS
Secondary database modelsSpatial DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#328  Overall
#48  Key-value stores
Score0.27
Rank#292  Overall
#132  Relational DBMS
Score0.79
Rank#212  Overall
#100  Relational DBMS
#18  Time Series DBMS
Score1.41
Rank#153  Overall
#71  Relational DBMS
Score1.08
Rank#179  Overall
#6  Object oriented DBMS
#9  Vector DBMS
Websitegithub.com/­dgraph-io/­badgerbrytlyt.iowww.mcobject.comgithub.com/­heavyai/­heavydb
www.heavy.ai
github.com/­objectbox
objectbox.io
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.brytlyt.iowww.mcobject.com/­docs/­extremedb.htmdocs.heavy.aidocs.objectbox.io
DeveloperDGraph LabsBrytlytMcObjectHEAVY.AI, Inc.ObjectBox Limited
Initial release20172016200120162017
Current release5.0, August 20238.2, 20215.10, January 20224.0 (May 2024)
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialOpen Source infoApache Version 2; enterprise edition availableBindings are released under Apache 2.0 infoApache License 2.0
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 and C++C++ and CUDAC and C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
AIX
HP-UX
Linux
macOS
Solaris
Windows
LinuxAndroid
Any POSIX system
Docker
iOS
Linux
macOS
QNX
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyesyesyes, plus "flex" map-like types
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.noyes infospecific XML-type available, but no XML query functionality.no infosupport of XML interfaces availablenono
Secondary indexesnoyesyesnoyes
SQL infoSupport of SQLnoyesyes infowith the option: eXtremeSQLyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
.NET Client API
JDBC
JNI
ODBC
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Vega
Proprietary native API
Supported programming languagesGo.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.Net
C
C#
C++
Java
Lua
Python
Scala
All languages supporting JDBC/ODBC/Thrift
Python
C
C++
Dart (Flutter)
Go
Java
Kotlin
Python
Swift
Server-side scripts infoStored proceduresnouser defined functions infoin PL/pgSQLyesnono
Triggersnoyesyes infoby defining eventsnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning / shardingSharding infoRound robinnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationActive Replication Fabric™ for IoT
Multi-source replication infoby means of eXtremeDB Cluster option
Source-replica replication infoby means of eXtremeDB High Availability option
Multi-source replicationData sync between devices allowing occasional connected databases to work completely offline
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoOptimistic (MVCC) and pessimistic (locking) strategies availableyesyes
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.noyesyesno
User concepts infoAccess controlnofine grained access rights according to SQL-standardfine grained access rights according to SQL-standardyes
More information provided by the system vendor
BadgerBrytlyteXtremeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022ObjectBox
News

MongoDB Realm & Device Sync alternatives – ObjectBox
17 September 2024

Local AI – what it is and why we need it
11 September 2024

First on-device Vector Database (aka Semantic Index) for iOS
24 July 2024

Retrieval Augmented Generation (RAG) with vector databases: Expanding AI Capabilities
18 June 2024

The on-device Vector Database for Android and Java
29 May 2024

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More resources
BadgerBrytlyteXtremeDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022ObjectBox
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