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DBMS > Bangdb vs. Graph Engine vs. PostgreSQL vs. SWC-DB

System Properties Comparison Bangdb vs. Graph Engine vs. PostgreSQL vs. SWC-DB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
Key-value store
Relational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Wide column store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
Time Series DBMS
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
Score0.67
Rank#232  Overall
#21  Graph DBMS
#34  Key-value stores
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.08
Rank#364  Overall
#13  Wide column stores
Websitebangdb.comwww.graphengine.iowww.postgresql.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.bangdb.comwww.graphengine.io/­docs/­manualwww.postgresql.org/­docs
DeveloperSachin Sinha, BangDBMicrosoftPostgreSQL Global Development Group infowww.postgresql.org/­developerAlex Kashirin
Initial release201220101989 info1989: Postgres, 1996: PostgreSQL2020
Current releaseBangDB 2.0, October 202116.3, May 20240.5, April 2021
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoMIT LicenseOpen Source infoBSDOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenononono
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Implementation languageC, C++.NET and CCC++
Server operating systemsLinux.NETFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyes
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.nonoyes infospecific XML-type available, but no XML query functionality.no
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLSQL like support with command line toolnoyes infostandard with numerous extensionsSQL-like query language
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Proprietary protocol
Thrift
Supported programming languagesC
C#
C++
Java
Python
C#
C++
F#
Visual Basic
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C++
Server-side scripts infoStored proceduresnoyesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.no
Triggersyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmhorizontal partitioningpartitioning by range, list and (since PostgreSQL 11) by hashSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as welloptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyes
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 modeyesnono
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standard

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More resources
BangdbGraph Engine infoformer name: TrinityPostgreSQLSWC-DB infoSuper Wide Column Database
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