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DBMS > CouchDB vs. GreptimeDB vs. Microsoft Azure AI Search vs. Sphinx

System Properties Comparison CouchDB vs. GreptimeDB vs. Microsoft Azure AI Search vs. Sphinx

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Editorial information provided by DB-Engines
NameCouchDB infostands for "Cluster Of Unreliable Commodity Hardware"  Xexclude from comparisonGreptimeDB  Xexclude from comparisonMicrosoft Azure AI Search  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.An open source Time Series DBMS built for increased scalability, high performance and efficiencySearch-as-a-service for web and mobile app developmentOpen source search engine for searching in data from different sources, e.g. relational databases
Primary database modelDocument storeTime Series DBMSSearch engineSearch engine
Secondary database modelsSpatial DBMS infousing the Geocouch extensionVector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.30
Rank#47  Overall
#7  Document stores
Score0.12
Rank#351  Overall
#34  Time Series DBMS
Score5.52
Rank#59  Overall
#6  Search engines
Score5.95
Rank#55  Overall
#5  Search engines
Websitecouchdb.apache.orggreptime.comazure.microsoft.com/­en-us/­services/­searchsphinxsearch.com
Technical documentationdocs.couchdb.org/­en/­stabledocs.greptime.comlearn.microsoft.com/­en-us/­azure/­searchsphinxsearch.com/­docs
DeveloperApache Software Foundation infoApache top-level project, originally developed by Damien Katz, a former Lotus Notes developerGreptime Inc.MicrosoftSphinx Technologies Inc.
Initial release2005202220152001
Current release3.3.3, December 2023V13.5.1, February 2023
License infoCommercial or Open SourceOpen Source infoApache version 2Open Source infoApache Version 2.0commercialOpen Source infoGPL version 2, commercial licence available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageErlangRustC++
Server operating systemsAndroid
BSD
Linux
OS X
Solaris
Windows
Android
Docker
FreeBSD
Linux
macOS
Windows
hostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Data schemeschema-freeschema-free, schema definition possibleyesyes
Typing infopredefined data types such as float or datenoyesyesno
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.nonono
Secondary indexesyes infovia viewsyesyesyes infofull-text index on all search fields
SQL infoSupport of SQLnoyesnoSQL-like query language (SphinxQL)
APIs and other access methodsRESTful HTTP/JSON APIgRPC
HTTP API
JDBC
RESTful HTTP APIProprietary protocol
Supported programming languagesC
C#
ColdFusion
Erlang
Haskell
Java
JavaScript
Lisp
Lua
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
Ruby
Smalltalk
C++
Erlang
Go
Java
JavaScript
C#
Java
JavaScript
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Server-side scripts infoStored proceduresView functions in JavaScriptPythonnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infoimproved architecture with release 2.0ShardingSharding infoImplicit feature of the cloud serviceSharding 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 infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a single document possiblenono
Concurrency infoSupport for concurrent manipulation of datayes infostrategy: optimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.nono
User concepts infoAccess controlAccess rights for users can be defined per databaseSimple rights management via user accountsyes infousing Azure authenticationno
More information provided by the system vendor
CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GreptimeDBMicrosoft Azure AI SearchSphinx
Specific characteristicsGreptimeDB is a SQL & Python-enabled timeseries database system built from scratch...
» more
Competitive advantages- Inherits advantages of Rust, such as excellent performance, memory safe, resource...
» more
Typical application scenariosFor IoT industries, GreptimeDB can seamless integrate with message queues and other...
» more
Key customersGreptime's clients span multiple sectors including IoT, connected vehicles, and energy...
» more
Market metricsGreptimeDB has garnered global recognition by topping GitHub trends following its...
» more
Licensing and pricing modelsGreptimeDB: open source, distributed, cloud-native TSDB; supports Hybrid Time-series...
» more

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CouchDB infostands for "Cluster Of Unreliable Commodity Hardware"GreptimeDBMicrosoft Azure AI SearchSphinx
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