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DBMS > Hive vs. HugeGraph vs. Manticore Search vs. RDF4J

System Properties Comparison Hive vs. HugeGraph vs. Manticore Search vs. RDF4J

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonManticore Search  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSMulti-storage database for search, including full-text search.RDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSGraph DBMSSearch engineRDF store
Secondary database modelsTime Series DBMS infousing the Manticore Columnar Library
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score0.29
Rank#302  Overall
#21  Search engines
Score0.74
Rank#222  Overall
#9  RDF stores
Websitehive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
manticoresearch.comrdf4j.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsmanual.manticoresearch.comrdf4j.org/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookBaiduManticore SoftwareSince 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release2012201820172004
Current release3.1.3, April 20220.96.0, February 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoGPL version 2Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++Java
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
FreeBSD
Linux
macOS
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesFixed schemayes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesInt, Bigint, Float, Timestamp, Bit, Int array, Bigint array, JSON, Booleanyes
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.noCan index from XML
Secondary indexesyesyes infoalso supports composite index and range indexyes infofull-text index on all search fieldsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
Binary API
RESTful HTTP/JSON API
RESTful HTTP/SQL API
SQL over MySQL
Java API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesC++
Java
PHP
Python
Groovy
Java
Python
Elixir
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsuser defined functionsyes
Triggersnononoyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseSharding infoPartitioning is done manually, search queries against distributed index is supportednone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseSynchronous replication based on Galera librarynone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducevia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynoyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes infoisolated transactions for atomic changes and binary logging for safe writesACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoThe original contents of fields are not stored in the Manticore index.yes infoin-memory storage is supported as well
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 rolesUsers, roles and permissionsnono

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More resources
HiveHugeGraphManticore SearchRDF4J infoformerly known as Sesame
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