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DBMS > Bangdb vs. Couchbase vs. Hypertable vs. PostgreSQL

System Properties Comparison Bangdb vs. Couchbase vs. Hypertable vs. PostgreSQL

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCouchbase infoOriginally called Membase  Xexclude from comparisonHypertable  Xexclude from comparisonPostgreSQL  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphA distributed document store with integrated cache, a powerful search engine, in-built operational and analytical capabilities, and an embedded mobile databaseAn open source BigTable implementation based on distributed file systems such as HadoopWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeWide column storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsSpatial DBMSKey-value store infooriginating from the former Membase product and supporting the Memcached protocol
Spatial DBMS infousing the Geocouch extension
Search engine
Time Series DBMS
Vector DBMS
Document 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
Score0.15
Rank#334  Overall
#45  Document stores
#31  Graph DBMS
#31  Time Series DBMS
Score18.46
Rank#36  Overall
#5  Document stores
Score645.05
Rank#4  Overall
#4  Relational DBMS
Websitebangdb.comwww.couchbase.comwww.postgresql.org
Technical documentationdocs.bangdb.comdocs.couchbase.comwww.postgresql.org/­docs
DeveloperSachin Sinha, BangDBCouchbase, Inc.Hypertable Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2012201120091989 info1989: Postgres, 1996: PostgreSQL
Current releaseBangDB 2.0, October 2021Server: 7.2, June 2023; Mobile: 3.1, March 2022; Couchbase Capella (DBaaS), June 20230.9.8.11, March 201616.2, February 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBusiness Source License (BSL 1.1); Commercial licenses also availableOpen Source infoGNU version 3. Commercial license availableOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C, C++, Go and ErlangC++C
Server operating systemsLinuxLinux
OS X
Windows
Linux
OS X
Windows infoan inofficial Windows port is available
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyes
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.
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesrestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL like support with command line toolSQL++, extends ANSI SQL to JSON for operational, transactional, and analytic use casesnoyes infostandard with numerous extensions
APIs and other access methodsProprietary protocol
RESTful HTTP API
CLI Client
HTTP REST
Kafka Connector
Native language bindings for CRUD, Query, Search and Analytics APIs
Spark Connector
Spring Data
C++ API
Thrift
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Java
Python
.Net
C
Go
Java
JavaScript infoNode.js
Kotlin
PHP
Python
Ruby
Scala
C++
Java
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoFunctions and timers in JavaScript and UDFs in Java, Python, SQL++nouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersyes, Notifications (with Streaming only)yes infovia the TAP protocolnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmAutomatic ShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication infoincluding cross data center replication
Source-replica replication
selectable replication factor on file system levelSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency infoselectable on a per-operation basis
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
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 modeyes infoEphemeral bucketsno
User concepts infoAccess controlyes (enterprise version only)User and Administrator separation with password-based and LDAP integrated Authentication. Role-base access control.nofine grained access rights according to SQL-standard

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