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

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

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Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonEsgynDB  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTigerGraph  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBEnterprise-class SQL-on-Hadoop solution, powered by Apache TrafodionGlobally distributed, horizontally scalable, multi-model database serviceA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelDocument storeRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.45
Rank#82  Overall
#15  Document stores
Score0.16
Rank#265  Overall
#125  Relational DBMS
Score31.51
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.00
Rank#151  Overall
#11  Graph DBMS
Websitecloudant.comesgyn.comazure.microsoft.com/­services/­cosmos-dbwww.tigergraph.com
Technical documentationdocs.cloudant.comesgyn.com/­developersdocs.microsoft.com/­en-us/­azure/­cosmos-dbdocs.tigergraph.com
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014EsgynMicrosoft
Initial release2010201520142017
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangC++, JavaC++
Server operating systemshostedLinuxhostedLinux
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or datenoyesyes infoJSON typesyes
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 indexesyesyesyes infoAll properties auto-indexed by default
SQL infoSupport of SQLnoyesSQL-like query languageSQL-like query language (GSQL)
APIs and other access methodsRESTful HTTP/JSON APIADO.NET
JDBC
ODBC
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC#
Java
JavaScript
Objective-C
PHP
Ruby
All languages supporting JDBC/ODBC/ADO.Net.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++
Java
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptJava Stored ProceduresJavaScriptyes
TriggersyesnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
Master-master replication between multi datacentersyes infoImplicit feature of the cloud service
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Foreign keys infoReferential integritynoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datano infoatomic operations within a document possibleACIDMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyesyes
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.nonono
User concepts infoAccess controlAccess rights for users can be defined per databasefine grained access rights according to SQL-standardAccess rights can be defined down to the item levelRole-based access control
More information provided by the system vendor
CloudantEsgynDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTigerGraph
Specific characteristicsCapabilities for Operational/Transactional Workloads Deep Integration with HBase...
» more
TigerGraph is a native graph database, with massively parallel processing and fully...
» more
Competitive advantagesEsgynDB is ideally suited to supporting Hybrid Transactional and Analytical Processing...
» more
TigerGraph is the fastest and most scalable graph platform, powered by a native parallel...
» more
Typical application scenariosIdeally suited to scenarios where high speed continuous data ingestion is required...
» more
Anti Money Laundering Real-Time Fraud Detection Customer 360 Real-Time Personalized...
» more
Key customersEsgynDB's customers are worldwide, with several in the Global Fortune 500, including...
» more
TigerGraph’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 modelsEsgynDB Enterprise Edition is the commercially supported version of Apache Trafodion...
» more
NEW: TIGERGRAPH CLOUD - Fully managed Graph Database as a Service. Hourly pricing...
» more

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More resources
CloudantEsgynDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTigerGraph
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