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DBMS > Hive vs. Microsoft Azure Cosmos DB vs. Speedb vs. TigerGraph

System Properties Comparison Hive vs. Microsoft Azure Cosmos DB vs. Speedb vs. TigerGraph

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xexclude from comparisonSpeedb  Xexclude from comparisonTigerGraph  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopGlobally distributed, horizontally scalable, multi-model database serviceAn embeddable, high performance key-value store optimized for write-intensive workloads, which can be used as a drop-in replacement for RocksDBA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Key-value storeGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score29.04
Rank#27  Overall
#4  Document stores
#2  Graph DBMS
#3  Key-value stores
#3  Wide column stores
Score0.21
Rank#315  Overall
#45  Key-value stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitehive.apache.orgazure.microsoft.com/­services/­cosmos-dbwww.speedb.iowww.tigergraph.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homelearn.microsoft.com/­azure/­cosmos-dbdocs.tigergraph.com
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoftSpeedb
Initial release2012201420202017
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2.0; commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++
Server operating systemsAll OS with a Java VMhostedLinux
Windows
Linux
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoJSON typesnoyes
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.nono
Secondary indexesyesyes infoAll properties auto-indexed by defaultno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query languagenoSQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
Thrift
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
PHP
Python
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C
C++
Go
Java
Perl
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceJavaScriptnoyes
TriggersnoJavaScriptno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infoImplicit feature of the cloud servicehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infoImplicit feature of the cloud serviceyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducewith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*noyes
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
Foreign keys infoReferential integritynononoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoMulti-item ACID transactions with snapshot isolation within a partitionyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
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.yesno
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights can be defined down to the item levelnoRole-based access control
More information provided by the system vendor
HiveMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSpeedbTigerGraph
Specific characteristicsSpeedb is an embedded key-value storage engine for versatile use cases. It was designed...
» more
Competitive advantagesSpeedb Open-source rebases on RocksDB's latest versions, with enhanced capabilities...
» more
Licensing and pricing modelsOpen source - Speedb OSS is released under an Apache license and can be found on...
» more

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HiveMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBSpeedbTigerGraph
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