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DBMS > Apache Hive vs. Graph Engine

System Properties Comparison Apache Hive vs. Graph Engine

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Our visitors often compare Apache Hive and Graph Engine with Databricks, Microsoft SQL Server and Apache Doris.

Editorial information provided by DB-Engines
NameApache Hive  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engine
Primary database modelRelational DBMSGraph DBMS
Key-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score53.09
Rank#18  Overall
#12  Relational DBMS
Score0.58
Rank#238  Overall
#21  Graph DBMS
#33  Key-value stores
Websitehive.apache.orgwww.graphengine.io
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homewww.graphengine.io/­docs/­manual
DeveloperApache Software Foundation infoinitially developed by FacebookMicrosoft
Initial release20122010
Current release3.1.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoMIT License
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava.NET and C
Server operating systemsAll OS with a Java VM.NET
Data schemeyesyes
Typing infopredefined data types such as float or dateyesyes
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 indexesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno
APIs and other access methodsJDBC
ODBC
Thrift
RESTful HTTP API
Supported programming languagesC++
Java
PHP
Python
C#
C++
F#
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storage
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 for users, groups and roles

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More resources
Apache HiveGraph Engine infoformer name: Trinity
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