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DBMS > Hive vs. Microsoft Azure Cosmos DB vs. openGauss

System Properties Comparison Hive vs. Microsoft Azure Cosmos DB vs. openGauss

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonopenGauss  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopGlobally distributed, horizontally scalable, multi-model database serviceAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by Huawei
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score57.29
Rank#19  Overall
#13  Relational DBMS
Score27.12
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score1.04
Rank#179  Overall
#82  Relational DBMS
Websitehive.apache.orgazure.microsoft.com/­services/­cosmos-dbgitee.com/­opengauss
opengauss.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­azure/­cosmos-dbdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftHuawei and openGauss community
Initial release201220142019
Current release3.1.3, April 20223.0, March 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source
Cloud-based only infoOnly available as a cloud servicenoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC, C++, Java
Server operating systemsAll OS with a Java VMhostedLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes 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 SQLSQL-like DML and DDL statementsSQL-like query languageANSI SQL 2011
APIs and other access methodsJDBC
ODBC
Thrift
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
JDBC
ODBC
Supported programming languagesC++
Java
PHP
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScriptyes
TriggersnoJavaScriptyes
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning (by range, list and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud serviceSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducewith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*no
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 datanoMulti-item ACID transactions with snapshot isolation within a partitionACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.no
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights can be defined down to the item levelAccess rights for users, groups and roles according to SQL-standard

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More resources
HiveMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBopenGauss
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