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DBMS > Cloudant vs. Microsoft Azure Cosmos DB vs. Splice Machine

System Properties Comparison Cloudant vs. Microsoft Azure Cosmos DB vs. Splice Machine

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Editorial information provided by DB-Engines
NameCloudant  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionDatabase as a Service offering based on Apache CouchDBGlobally distributed, horizontally scalable, multi-model database serviceOpen-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelDocument storeDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.80
Rank#75  Overall
#14  Document stores
Score31.98
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.72
Rank#178  Overall
#89  Relational DBMS
Websitecloudant.comazure.microsoft.com/­services/­cosmos-dbwww.splicemachine.com
Technical documentationdocs.cloudant.comdocs.microsoft.com/­en-us/­azure/­cosmos-dbdoc.splicemachine.com
DeveloperIBM, Apache Software Foundation infoIBM acquired Cloudant in February 2014MicrosoftJohn Leach
Initial release201020142014
Current release2.0
License infoCommercial or Open SourcecommercialcommercialOpen Source infoextended commercial Enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageErlangJava
Server operating systemshostedhostedLinux
OS X
Solaris
Windows
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or datenoyes 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.no
Secondary indexesyesyes infoAll properties auto-indexed by defaultyes
SQL infoSupport of SQLnoSQL-like query languageyes
APIs and other access methodsRESTful HTTP/JSON APIDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
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
Java
JRuby
Scala
Server-side scripts infoStored proceduresView functions (Map-Reduce) in JavaScriptJavaScriptyes infoJava
TriggersyesJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud serviceSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-master replication
Master-slave replication
yes infoImplicit feature of the cloud serviceMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyeswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no infouses HBase instead
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
Immediate Consistency
Foreign keys infoReferential integritynonoyes
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 partitionACID
Concurrency infoSupport for concurrent manipulation of datayes infoOptimistic lockingyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users can be defined per databaseAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
CloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSplice Machine
News

The Perils of Modernizing SQL Apps on NoSQL
12 November 2019

Distributed SQL System Review: Snowflake vs Splice Machine
18 September 2019

How to Modernize Legacy Applications with Machine Learning
9 September 2019

The Public Cloud Did Not Kill Hadoop – But Complexity Could
14 August 2019

How Data Science Silos Undermine Application Modernization
5 August 2019

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
CloudantMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSplice Machine
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26 September 2019, EnterpriseAI

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