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DBMS > Hive vs. JanusGraph vs. PouchDB vs. SQLite

System Properties Comparison Hive vs. JanusGraph vs. PouchDB vs. SQLite

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPouchDB  Xexclude from comparisonSQLite  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017JavaScript DBMS with an API inspired by CouchDBWidely used embeddable, in-process RDBMS
Primary database modelRelational DBMSGraph DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score2.28
Rank#115  Overall
#21  Document stores
Score114.32
Rank#10  Overall
#7  Relational DBMS
Websitehive.apache.orgjanusgraph.orgpouchdb.comwww.sqlite.org
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.janusgraph.orgpouchdb.com/­guideswww.sqlite.org/­docs.html
DeveloperApache Software Foundation infoinitially developed by FacebookLinux Foundation; originally developed as Titan by AureliusApache Software FoundationDwayne Richard Hipp
Initial release2012201720122000
Current release3.1.3, April 20220.6.3, February 20237.1.1, June 20193.45.3  (15 April 2024), April 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0Open SourceOpen Source infoPublic Domain
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaScriptC
Server operating systemsAll OS with a Java VMLinux
OS X
Unix
Windows
server-less, requires a JavaScript environment (browser, Node.js)server-less
Data schemeyesyesschema-freeyes infodynamic column types
Typing infopredefined data types such as float or dateyesyesnoyes infonot rigid because of 'dynamic typing' concept.
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.nonono
Secondary indexesyesyesyes infovia viewsyes
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoyes infoSQL-92 is not fully supported
APIs and other access methodsJDBC
ODBC
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
HTTP REST infoonly for PouchDB Server
JavaScript API
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
Supported programming languagesC++
Java
PHP
Python
Clojure
Java
Python
JavaScriptActionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesView functions in JavaScriptno
Triggersnoyesyesyes
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)Sharding infowith a proxy-based framework, named couchdb-loungenone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryesMulti-source replication infoalso with CouchDB databases
Source-replica replication infoalso with CouchDB databases
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyes infovia Faunus, a graph analytics engineyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infovia file-system locks
Durability infoSupport for making data persistentyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes infoby using IndexedDB, WebSQL or LevelDB as backendyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and rolesUser authentification and security via Rexster Graph Servernono

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More resources
HiveJanusGraph infosuccessor of TitanPouchDBSQLite
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