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DBMS > Blueflood vs. IBM Cloudant vs. Microsoft Azure Cosmos DB vs. TigerGraph vs. Trafodion

System Properties Comparison Blueflood vs. IBM Cloudant vs. Microsoft Azure Cosmos DB vs. TigerGraph vs. Trafodion

Editorial information provided by DB-Engines
NameBlueflood  Xexclude from comparisonIBM Cloudant  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonTigerGraph  Xexclude from comparisonTrafodion  Xexclude from comparison
Apache Trafodion has been retired in 2021. Therefore it is excluded from the DB-Engines Ranking.
DescriptionScalable TimeSeries DBMS based on CassandraDatabase as a Service offering based on Apache CouchDBGlobally distributed, horizontally scalable, multi-model database serviceA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-timeTransactional SQL-on-Hadoop DBMS
Primary database modelTime Series DBMSDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Graph DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.11
Rank#350  Overall
#33  Time Series DBMS
Score2.79
Rank#113  Overall
#21  Document stores
Score30.39
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.92
Rank#143  Overall
#13  Graph DBMS
Websiteblueflood.iowww.ibm.com/­products/­cloudantazure.microsoft.com/­services/­cosmos-dbwww.tigergraph.comtrafodion.apache.org
Technical documentationgithub.com/­rax-maas/­blueflood/­wikicloud.ibm.com/­docs/­Cloudantlearn.microsoft.com/­azure/­cosmos-dbdocs.tigergraph.comtrafodion.apache.org/­documentation.html
DeveloperRackspaceIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftApache Software Foundation, originally developed by HP
Initial release20132010201420172014
Current release2.3.0, February 2019
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaErlangC++C++, Java
Server operating systemsLinux
OS X
hostedhostedLinuxLinux
Data schemepredefined schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesnoyes infoJSON typesyesyes
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.nononono
Secondary indexesnoyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnonoSQL-like query languageSQL-like query language (GSQL)yes
APIs and other access methodsHTTP RESTRESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
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
C++
Java
All languages supporting JDBC/ODBC/ADO.Net
Server-side scripts infoStored proceduresnoView functions (Map-Reduce) in JavaScriptJavaScriptyesJava Stored Procedures
TriggersnoyesJavaScriptnono
Partitioning methods infoMethods for storing different data on different nodesSharding infobased on CassandraShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor infobased on CassandraMulti-source replication
Source-replica replication
yes infoImplicit feature of the cloud serviceyes, via HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*yesyes infovia user defined functions and HBase
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Eventual ConsistencyBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Immediate Consistency
Foreign keys infoReferential integritynononoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoatomic operations within a document possibleMulti-item ACID transactions with snapshot isolation within a partitionACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoOptimistic lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononono
User concepts infoAccess controlnoAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelRole-based access controlfine grained access rights according to SQL-standard

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More resources
BluefloodIBM CloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBTigerGraphTrafodion
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