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DBMS > Apache Pinot vs. Galaxybase vs. Hive vs. HugeGraph vs. Kdb

System Properties Comparison Apache Pinot vs. Galaxybase vs. Hive vs. HugeGraph vs. Kdb

Editorial information provided by DB-Engines
NameApache Pinot  Xexclude from comparisonGalaxybase  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparisonKdb  Xexclude from comparison
DescriptionRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyScalable, ACID-compliant native distributed parallel graph platformdata warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMSHigh performance Time Series DBMS
Primary database modelRelational DBMSGraph DBMSRelational DBMSGraph DBMSTime Series DBMS
Vector DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.40
Rank#270  Overall
#125  Relational DBMS
Score0.00
Rank#383  Overall
#39  Graph DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Websitepinot.apache.orggalaxybase.comhive.apache.orggithub.com/­hugegraph
hugegraph.apache.org
kx.com
Technical documentationdocs.pinot.apache.orgcwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.apache.org/­docscode.kx.com
DeveloperApache Software Foundation and contributorsChuanglin(Createlink) Technology Co., Ltd 浙江创邻科技有限公司Apache Software Foundation infoinitially developed by FacebookBaiduKx Systems, a division of First Derivatives plc
Initial release20152017201220182000 infokdb was released 2000, kdb+ in 2003
Current release1.0.0, September 2023Nov 20, November 20213.1.3, April 20220.93.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen Source infoApache Version 2Open Source infoApache Version 2.0commercial infofree 32-bit version
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC and JavaJavaJavaq
Server operating systemsAll OS with a Java JDK11 or higherLinuxAll OS with a Java VMLinux
macOS
Unix
Linux
OS X
Solaris
Windows
Data schemeyesStrong typed schemayesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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
Secondary indexesyesyesyes infoalso supports composite index and range indexyes infotable attribute 'grouped'
SQL infoSupport of SQLSQL-like query languagenoSQL-like DML and DDL statementsnoSQL-like query language (q)
APIs and other access methodsJDBCBrowser interface
console (shell)
Graph API (Gremlin)
OpenCypher
Proprietary native API
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
Supported programming languagesGo
Java
Python
Go
Java
Python
C++
Java
PHP
Python
Groovy
Java
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
Server-side scripts infoStored proceduresuser defined procedures and functionsyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobsuser defined functions
Triggersnonoyes infowith views
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningShardingShardingyes infodepending on used storage backend, e.g. Cassandra and HBasehorizontal 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 methodsnoyes infoquery execution via MapReducevia hugegraph-sparkno infosimilar paradigm used for internal processing
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyes infoedges in graphyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
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.yesyesyes
User concepts infoAccess controlRole-based access controlAccess rights for users, groups and rolesUsers, roles and permissionsrights management via user accounts
More information provided by the system vendor
Apache PinotGalaxybaseHiveHugeGraphKdb
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
» more
Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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More resources
Apache PinotGalaxybaseHiveHugeGraphKdb
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