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DBMS > Hive vs. HugeGraph vs. OpenEdge vs. Stardog

System Properties Comparison Hive vs. HugeGraph vs. OpenEdge vs. Stardog

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonOpenEdge  Xexclude from comparisonStardog  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSApplication development environment with integrated database management systemEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelRelational DBMSGraph DBMSRelational DBMSGraph DBMS
RDF store
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
Score3.45
Rank#85  Overall
#46  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitehive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.progress.com/­openedgewww.stardog.com
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsdocumentation.progress.com/­output/­ua/­OpenEdge_latestdocs.stardog.com
DeveloperApache Software Foundation infoinitially developed by FacebookBaiduProgress Software CorporationStardog-Union
Initial release2012201819842010
Current release3.1.3, April 20220.9OpenEdge 12.2, March 20207.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0commercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaJava
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
AIX
HP-UX
Linux
Solaris
Windows
Linux
macOS
Windows
Data schemeyesyesyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesno infoImport/export of XML data possible
Secondary indexesyesyes infoalso supports composite index and range indexyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoclose to SQL 92Yes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsJDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC++
Java
PHP
Python
Groovy
Java
Python
Progress proprietary ABL (Advanced Business Language).Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsyesuser defined functions and aggregates, HTTP Server extensions in Java
Triggersnonoyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal partitioning infosince Version 11.4none
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replicationMulti-source replication in HA-Cluster
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 ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyes infoedges in graphyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
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.yesnoyes
User concepts infoAccess controlAccess rights for users, groups and rolesUsers, roles and permissionsUsers and groupsAccess rights for users and roles

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More resources
HiveHugeGraphOpenEdgeStardog
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