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DBMS > Bangdb vs. Dolt vs. OrigoDB vs. PostgreSQL vs. Realm

System Properties Comparison Bangdb vs. Dolt vs. OrigoDB vs. PostgreSQL vs. Realm

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonDolt  Xexclude from comparisonOrigoDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonRealm  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA MySQL compatible DBMS with Git-like versioning of data and schemaA fully ACID in-memory object graph databaseWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSDocument store
Object oriented DBMS
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Document store
Secondary database modelsSpatial DBMSDocument storeDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#18  Object oriented DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score7.41
Rank#52  Overall
#8  Document stores
Websitebangdb.comgithub.com/­dolthub/­dolt
www.dolthub.com
origodb.comwww.postgresql.orgrealm.io
Technical documentationdocs.bangdb.comdocs.dolthub.comorigodb.com/­docswww.postgresql.org/­docsrealm.io/­docs
DeveloperSachin Sinha, BangDBDoltHub IncRobert Friberg et alPostgreSQL Global Development Group infowww.postgresql.org/­developerRealm, acquired by MongoDB in May 2019
Initial release201220182009 infounder the name LiveDB1989 info1989: Postgres, 1996: PostgreSQL2014
Current releaseBangDB 2.0, October 202116.3, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0Open SourceOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++GoC#C
Server operating systemsLinuxLinux
macOS
Windows
Linux
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Android
Backend: server-less
iOS
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesUser defined using .NET types and collectionsyesyes
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.nonono infocan be achieved using .NETyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyesnoyes infostandard with numerous extensionsno
APIs and other access methodsProprietary protocol
RESTful HTTP API
CLI Client
HTTP REST
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Java
Python
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
.Net.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresnoyes infocurrently in alpha releaseyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no inforuns within the applications so server-side scripts are unnecessary
Triggersyes, Notifications (with Streaming only)yesyes infoDomain Eventsyesyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnonehorizontal partitioning infoclient side managed; servers are not synchronizedpartitioning by range, list and (since PostgreSQL 11) by hashnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)A database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.Source-replica replicationSource-replica replication infoother methods possible by using 3rd party extensionsnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesdepending on modelyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyes infoWrite ahead logyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyesnoyes infoIn-Memory realm
User concepts infoAccess controlyes (enterprise version only)Only one user is configurable, and must be specified in the config file at startupRole based authorizationfine grained access rights according to SQL-standardyes

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More resources
BangdbDoltOrigoDBPostgreSQLRealm
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