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DBMS > Hive vs. InfinityDB vs. LevelDB vs. Postgres-XL vs. TinkerGraph

System Properties Comparison Hive vs. InfinityDB vs. LevelDB vs. Postgres-XL vs. TinkerGraph

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonInfinityDB  Xexclude from comparisonLevelDB  Xexclude from comparisonPostgres-XL  Xexclude from comparisonTinkerGraph  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA Java embedded Key-Value Store which extends the Java Map interfaceEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelRelational DBMSKey-value storeKey-value storeRelational DBMSGraph DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.00
Rank#378  Overall
#57  Key-value stores
Score2.35
Rank#111  Overall
#19  Key-value stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitehive.apache.orgboilerbay.comgithub.com/­google/­leveldbwww.postgres-xl.orgtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homeboilerbay.com/­infinitydb/­manualgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdwww.postgres-xl.org/­documentation
DeveloperApache Software Foundation infoinitially developed by FacebookBoiler Bay Inc.Google
Initial release2012200220112014 infosince 2012, originally named StormDB2009
Current release3.1.3, April 20224.01.23, February 202110 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoBSDOpen Source infoMozilla public licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++CJava
Server operating systemsAll OS with a Java VMAll OS with a Java VMIllumos
Linux
OS X
Windows
Linux
macOS
Data schemeyesyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysnoyesyes
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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesno infomanual creation possible, using inversions based on multi-value capabilitynoyesno
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infodistributed, parallel query executionno
APIs and other access methodsJDBC
ODBC
Thrift
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
TinkerPop 3
Supported programming languagesC++
Java
PHP
Python
JavaC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Groovy
Java
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenonouser defined functionsno
Triggersnononoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingnonenonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornonenonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenononono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynono infomanual creation possible, using inversions based on multi-value capabilitynoyesyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infoOptimistic locking for transactions; no isolation for bulk loadsnoACID infoMVCCno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyesoptional
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlAccess rights for users, groups and rolesnonofine grained access rights according to SQL-standardno

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HiveInfinityDBLevelDBPostgres-XLTinkerGraph
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