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DBMS > Cloudant vs. Microsoft Azure Cosmos DB vs. SQLite vs. TigerGraph

System Properties Comparison Cloudant vs. Microsoft Azure Cosmos DB vs. SQLite vs. TigerGraph

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Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSQLite  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBGlobally distributed, horizontally scalable, multi-model database serviceWidely used in-process RDBMSA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.45
Rank#82  Overall
#15  Document stores
Score31.51
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score122.14
Rank#10  Overall
#7  Relational DBMS
Score1.00
Rank#151  Overall
#11  Graph DBMS
Websitecloudant.comazure.microsoft.com/­services/­cosmos-dbwww.sqlite.orgwww.tigergraph.com
Technical documentationdocs.cloudant.comdocs.microsoft.com/­en-us/­azure/­cosmos-dbwww.sqlite.org/­docs.htmldocs.tigergraph.com
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftDwayne Richard Hipp
Initial release2010201420002017
Current release3.30.1, October 2019
License infoCommercial or Open SourcecommercialcommercialOpen Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangCC++
Server operating systemshostedhostedserver-lessLinux
Data schemeschema-freeschema-freeyes infodynamic column typesyes
Typing infopredefined data types such as float or datenoyes infoJSON typesyes infonot rigid because of 'dynamic typing' concept.yes
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 indexesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like query languageyes infoSQL-92 is not fully supportedSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
Actionscript
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
C++
Java
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptJavaScriptnoyes
TriggersyesJavaScriptyesno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicenone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yes infoImplicit feature of the cloud servicenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*noyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynonoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleMulti-item ACID transactions with snapshot isolation within a partitionACIDACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyes
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 can be defined down to the item levelnoRole-based access control
More information provided by the system vendor
CloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSQLiteTigerGraph
Specific characteristicsTigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesTigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosAnti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersTigerGraph’s proven technology supports applications such as fraud detection, customer...
» more
Market metricsTigerGraph is 2x to more than 8000x faster at graph traversal and query response...
» more
Licensing and pricing modelsNEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more

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More resources
CloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSQLiteTigerGraph
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