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DBMS > Hive vs. HugeGraph vs. Oracle Berkeley DB vs. Postgres-XL

System Properties Comparison Hive vs. HugeGraph vs. Oracle Berkeley DB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonOracle Berkeley DB  Xexclude from comparisonPostgres-XL  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSWidely used in-process key-value storeBased on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelRelational DBMSGraph DBMSKey-value store infosupports sorted and unsorted key sets
Native XML DBMS infoin the Oracle Berkeley DB XML version
Relational DBMS
Secondary database modelsDocument store
Spatial DBMS
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
Score2.01
Rank#126  Overall
#21  Key-value stores
#3  Native XML DBMS
Score0.53
Rank#254  Overall
#117  Relational DBMS
Websitehive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
www.oracle.com/­database/­technologies/­related/­berkeleydb.htmlwww.postgres-xl.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsdocs.oracle.com/­cd/­E17076_05/­html/­index.htmlwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookBaiduOracle infooriginally developed by Sleepycat, which was acquired by Oracle
Initial release2012201819942014 infosince 2012, originally named StormDB
Current release3.1.3, April 20220.918.1.40, May 202010 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infocommercial license availableOpen Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC, Java, C++ (depending on the Berkeley DB edition)C
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
AIX
Android
FreeBSD
iOS
Linux
OS X
Solaris
VxWorks
Windows
Linux
macOS
Data schemeyesyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesnoyes
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.noyes infoonly with the Berkeley DB XML editionyes infoXML type, but no XML query functionality
Secondary indexesyesyes infoalso supports composite index and range indexyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoyes infoSQL interfaced based on SQLite is availableyes infodistributed, parallel query execution
APIs and other access methodsJDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC++
Java
PHP
Python
Groovy
Java
Python
.Net infoFigaro is a .Net framework assembly that extends Berkeley DB XML into an embeddable database engine for .NET
others infoThird-party libraries to manipulate Berkeley DB files are available for many languages
C
C#
C++
Java
JavaScript (Node.js) info3rd party binding
Perl
Python
Tcl
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsnouser defined functions
Triggersnonoyes infoonly for the SQL APIyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBasenonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseSource-replica replication
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 Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.yesyesno
User concepts infoAccess controlAccess rights for users, groups and rolesUsers, roles and permissionsnofine grained access rights according to SQL-standard

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HiveHugeGraphOracle Berkeley DBPostgres-XL
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