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DBMS > Bangdb vs. CouchDB vs. Microsoft Azure Synapse Analytics vs. PostGIS vs. Sphinx

System Properties Comparison Bangdb vs. CouchDB vs. Microsoft Azure Synapse Analytics vs. PostGIS vs. Sphinx

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostGIS  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpatial extension of PostgreSQLOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document storeRelational DBMSSpatial DBMSSearch engine
Secondary database modelsSpatial DBMSSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score9.30
Rank#45  Overall
#7  Document stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score22.69
Rank#29  Overall
#1  Spatial DBMS
Score5.98
Rank#56  Overall
#5  Search engines
Websitebangdb.comcouchdb.apache.orgazure.microsoft.com/­services/­synapse-analyticspostgis.netsphinxsearch.com
Technical documentationdocs.bangdb.comdocs.couchdb.org/­en/­stabledocs.microsoft.com/­azure/­synapse-analyticspostgis.net/­documentationsphinxsearch.com/­docs
DeveloperSachin Sinha, BangDBApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerMicrosoftSphinx Technologies Inc.
Initial release20122005201620052001
Current releaseBangDB 2.0, October 20213.3.3, December 20233.4.2, February 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache version 2commercialOpen Source infoGPL v2.0Open Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++ErlangC++CC++
Server operating systemsLinuxAndroid
BSD
Linux
OS X
Solaris
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyesno
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.nononoyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infovia viewsyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLSQL like support with command line toolnoyesyesSQL-like query language (SphinxQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
RESTful HTTP/JSON APIADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
C++
Java
Python
C
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresnoView functions in JavaScriptTransact SQLuser defined functionsno
Triggersyes, Notifications (with Streaming only)yesnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infoimproved architecture with release 2.0Sharding, horizontal partitioningyes infobased on PostgreSQLSharding infoPartitioning is done manually, search queries against distributed index is supported
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication
Source-replica replication
yesyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDno infoatomic operations within a single document possibleACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyesyes infoThe original contents of fields are not stored in the Sphinx index.
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 modenono
User concepts infoAccess controlyes (enterprise version only)Access rights for users can be defined per databaseyesyes infobased on PostgreSQLno

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BangdbCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"Microsoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostGISSphinx
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