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DBMS > Hive vs. Kdb vs. LevelDB vs. Tibero

System Properties Comparison Hive vs. Kdb vs. LevelDB vs. Tibero

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Editorial information provided by DB-Engines
NameHive  Xexclude from comparisonKdb  Xexclude from comparisonLevelDB  Xexclude from comparisonTibero  Xexclude from comparison
Descriptiondata warehouse software for querying and managing large distributed datasets, built on HadoopHigh performance Time Series DBMSEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesA secure RDBMS, designed for easy portability from Oracle
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Key-value storeRelational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score2.35
Rank#111  Overall
#19  Key-value stores
Score1.78
Rank#140  Overall
#64  Relational DBMS
Websitehive.apache.orgkx.comgithub.com/­google/­leveldbus.tmaxsoft.com/­products/­tibero
Technical documentationcwiki.apache.org/­confluence/­display/­Hive/­Homecode.kx.comgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdtechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperApache Software Foundation infoinitially developed by FacebookKx Systems, a division of First Derivatives plcGoogleTmaxSoft
Initial release20122000 infokdb was released 2000, kdb+ in 200320112003
Current release3.1.3, April 20223.6, May 20181.23, February 20216, April 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree 32-bit versionOpen Source infoBSDcommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaqC++C and Assembler
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Illumos
Linux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
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.yesnoyes
Secondary indexesyesyes infotable attribute 'grouped'noyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (q)noyes
APIs and other access methodsJDBC
ODBC
Thrift
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
Supported programming languagesC++
Java
PHP
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsnoPersistent Stored Procedure (PSM)
Triggersnoyes infowith viewsnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnonehorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infosimilar paradigm used for internal processingnono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infowith automatic compression on writesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno infoplanned for next version
User concepts infoAccess controlAccess rights for users, groups and rolesrights management via user accountsnofine grained access rights according to SQL-standard (SQL 92, SQL 99)
More information provided by the system vendor
HiveKdbLevelDBTibero
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
HiveKdbLevelDBTibero
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