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DBMS > Hive vs. HugeGraph vs. Prometheus vs. Quasardb vs. Tkrzw

System Properties Comparison Hive vs. HugeGraph vs. Prometheus vs. Quasardb vs. Tkrzw

Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonPrometheus  Xexclude from comparisonQuasardb  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSOpen-source Time Series DBMS and monitoring systemDistributed, high-performance timeseries databaseA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelRelational DBMSGraph DBMSTime Series DBMSTime Series DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score8.42
Rank#47  Overall
#2  Time Series DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Score0.00
Rank#383  Overall
#60  Key-value stores
Websitehive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
prometheus.ioquasar.aidbmx.net/­tkrzw
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docsprometheus.io/­docsdoc.quasar.ai/­master
DeveloperApache Software Foundation infoinitially developed by FacebookBaiduquasardbMikio Hirabayashi
Initial release20122018201520092020
Current release3.1.3, April 20220.93.14.1, January 20240.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache Version 2.0Open Source infoApache 2.0commercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaGoC++C++
Server operating systemsAll OS with a Java VMLinux
macOS
Unix
Linux
Windows
BSD
Linux
OS X
Windows
Linux
macOS
Data schemeyesyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyes infointeger and binaryno
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.nono infoImport of XML data possiblenono
Secondary indexesyesyes infoalso supports composite index and range indexnoyes infowith tags
SQL infoSupport of SQLSQL-like DML and DDL statementsnonoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
RESTful HTTP/JSON APIHTTP API
Supported programming languagesC++
Java
PHP
Python
Groovy
Java
Python
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsnonono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesShardingyes infodepending on used storage backend, e.g. Cassandra and HBaseShardingSharding infoconsistent hashingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBaseyes infoby FederationSource-replica replication with selectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducevia hugegraph-sparknowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes infoby using LevelDByes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes infoTransient modeyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and rolesUsers, roles and permissionsnoCryptographically strong user authentication and audit trailno

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HiveHugeGraphPrometheusQuasardbTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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