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DBMS > CouchDB vs. LevelDB vs. Microsoft Azure Data Explorer vs. PouchDB vs. SQLite

System Properties Comparison CouchDB vs. LevelDB vs. Microsoft Azure Data Explorer vs. PouchDB vs. SQLite

Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonLevelDB  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonPouchDB  Xexclude from comparisonSQLite  Xexclude from comparison
DescriptionA native JSON - document store inspired by Lotus Notes, scalable from globally distributed server-clusters down to mobile phones.Embeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesFully managed big data interactive analytics platformJavaScript DBMS with an API inspired by CouchDBWidely used embeddable, in-process RDBMS
Primary database modelDocument storeKey-value storeRelational DBMS infocolumn orientedDocument storeRelational DBMS
Secondary database modelsSpatial DBMS infousing the Geocouch extensionDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.46
Rank#51  Overall
#7  Document stores
Score2.33
Rank#111  Overall
#19  Key-value stores
Score3.28
Rank#83  Overall
#45  Relational DBMS
Score2.18
Rank#114  Overall
#21  Document stores
Score103.35
Rank#10  Overall
#7  Relational DBMS
Websitecouchdb.apache.orggithub.com/­google/­leveldbazure.microsoft.com/­services/­data-explorerpouchdb.comwww.sqlite.org
Technical documentationdocs.couchdb.org/­en/­stablegithub.com/­google/­leveldb/­blob/­main/­doc/­index.mddocs.microsoft.com/­en-us/­azure/­data-explorerpouchdb.com/­guideswww.sqlite.org/­docs.html
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGoogleMicrosoftApache Software FoundationDwayne Richard Hipp
Initial release20052011201920122000
Current release3.3.3, December 20231.23, February 2021cloud service with continuous releases7.1.1, June 20193.46.1  (13 August 2024), August 2024
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoBSDcommercialOpen SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++JavaScriptC
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
hostedserver-less, requires a JavaScript environment (browser, Node.js)server-less
Data schemeschema-freeschema-freeFixed schema with schema-less datatypes (dynamic)schema-freeyes infodynamic column types
Typing infopredefined data types such as float or datenonoyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesnoyes infonot rigid because of 'dynamic typing' concept.
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.nonoyesnono
Secondary indexesyes infovia viewsnoall fields are automatically indexedyes infovia viewsyes
SQL infoSupport of SQLnonoKusto Query Language (KQL), SQL subsetnoyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP/JSON APIMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
JavaScriptActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresView functions in JavaScriptnoYes, possible languages: KQL, Python, RView functions in JavaScriptno
Triggersyesnoyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0noneSharding infoImplicit feature of the cloud serviceSharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
Source-replica replication
noneyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Multi-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoSpark connector (open source): github.com/­Azure/­azure-kusto-sparkyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenononoACID
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlAccess rights for users can be defined per databasenoAzure Active Directory Authenticationnono

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"LevelDBMicrosoft Azure Data ExplorerPouchDBSQLite
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