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

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

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Editorial information provided by DB-Engines
NameMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSphinx  Xexclude from comparisonSplice Machine  Xexclude from comparison
DescriptionGlobally distributed, horizontally scalable, multi-model database serviceOpen source search engine for searching in data from different sources, e.g. relational databasesOpen-Source SQL RDBMS powered by Spark and Hadoop
Primary database modelDocument store
Graph DBMS
Key-value store
Wide column store
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score31.98
Rank#24  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score7.04
Rank#49  Overall
#5  Search engines
Score0.72
Rank#178  Overall
#89  Relational DBMS
Websiteazure.microsoft.com/­services/­cosmos-dbsphinxsearch.comwww.splicemachine.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­cosmos-dbsphinxsearch.com/­docsdoc.splicemachine.com
DeveloperMicrosoftSphinx Technologies Inc.John Leach
Initial release201420012014
Current release3.1.1, October 20182.0
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availableOpen Source infoextended commercial Enterprise edition available
Cloud-based only infoOnly available as a cloud serviceyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Java
Server operating systemshostedFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infoJSON typesnoyes
Secondary indexesyes infoAll properties auto-indexed by defaultyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like query languageSQL-like query language (SphinxQL)yes
APIs and other access methodsDocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
Proprietary protocolJDBC
ODBC
Supported programming languages.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
Java
JRuby
Scala
Server-side scripts infoStored proceduresJavaScriptnoyes infoJava
TriggersJavaScriptnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud serviceSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud servicenoneMaster-master replication
Master-slave replication
MapReduce infoOffers an API for user-defined Map/Reduce methodswith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*nono infouses HBase instead
Consistency concepts infoMethods to ensure consistency in a distributed systemBounded 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 dataMulti-item ACID transactions with snapshot isolation within a partitionnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlAccess rights can be defined down to the item levelnoAccess rights for users, groups and roles according to SQL-standard
More information provided by the system vendor
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBSphinxSplice Machine
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More resources
Microsoft Azure Cosmos DB infoformer name was Azure DocumentDBSphinxSplice Machine
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