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

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

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonHarperDB  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonPostGIS  Xexclude from comparisonSphinx  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Ultra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.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 storeDocument storeRelational DBMSSpatial DBMSSearch engine
Secondary database modelsSpatial DBMS infousing the Geocouch extensionRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score9.30
Rank#45  Overall
#7  Document stores
Score0.55
Rank#248  Overall
#38  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
Websitecouchdb.apache.orgwww.harperdb.ioazure.microsoft.com/­services/­synapse-analyticspostgis.netsphinxsearch.com
Technical documentationdocs.couchdb.org/­en/­stabledocs.harperdb.io/­docsdocs.microsoft.com/­azure/­synapse-analyticspostgis.net/­documentationsphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerHarperDBMicrosoftSphinx Technologies Inc.
Initial release20052017201620052001
Current release3.3.3, December 20233.1, August 20213.4.2, February 20243.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache version 2commercial infofree community edition availablecommercialOpen 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 languageErlangNode.jsC++CC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Linux
OS X
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freedynamic schemayesyesyes
Typing infopredefined data types such as float or datenoyes infoJSON data typesyesyesno
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 infovia viewsyesyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoSQL-like data manipulation statementsyesyesSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP/JSON APIJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
WebSocket
ADO.NET
JDBC
ODBC
Proprietary protocol
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
C#
Java
PHP
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresView functions in JavaScriptCustom Functions infosince release 3.1Transact SQLuser defined functionsno
Triggersyesnonoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0A table resides as a whole on one (or more) nodes in a clusterSharding, 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 nodesMulti-source replication
Source-replica replication
yes infothe nodes on which a table resides can be definedyesyes infobased on PostgreSQLnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate 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 datano infoatomic operations within a single document possibleAtomic execution of specific operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyesyes
Durability infoSupport for making data persistentyesyes, using LMDByesyesyes 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.noyesno
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights for users and rolesyesyes infobased on PostgreSQLno

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More resources
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"HarperDBMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehousePostGISSphinx
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