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DBMS > Apache Hive vs. Geode vs. TigerGraph

System Properties Comparison Apache Hive vs. Geode vs. TigerGraph

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Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonGeode  Xexclude from comparisonTigerGraph  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopGeode is a distributed data container, pooling memory, CPU, network resources, and optionally local disk across multiple processesA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelRelational DBMSKey-value storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.07
Rank#18  Overall
#12  Relational DBMS
Score1.51
Rank#147  Overall
#25  Key-value stores
Score1.44
Rank#152  Overall
#14  Graph DBMS
Websitehive.apache.orggeode.apache.orgwww.tigergraph.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homegeode.apache.org/­docsdocs.tigergraph.com
DeveloperApache Software Foundation infoinitially developed by FacebookOriginally developed by Gemstone. They outsourced the project to Apache in 2015 but still deliver a commercial version as Gemfire.
Initial release201220022017
Current release3.1.3, April 20221.1, February 2017
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2; commercial licenses available as Gemfirecommercial
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VM infothe JDK (8 or later) is also requiredLinux
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (OQL)SQL-like query language (GSQL)
APIs and other access methodsJDBC
ODBC
Thrift
Java Client API
Memcached protocol
RESTful HTTP API
GSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languagesC++
Java
PHP
Python
.Net
All JVM based languages
C++
Groovy
Java
Scala
C++
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsyes
Triggersnoyes infoCache Event Listenersno
Partitioning methods infoMethods for storing different data on different nodesShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynonoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyes, on a single nodeACID
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.yesno
User concepts infoAccess controlAccess rights for users, groups and rolesAccess rights per client and object definableRole-based access control

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More resources
Apache HiveGeodeTigerGraph
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