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DBMS > Apache Impala vs. Kdb vs. NuoDB vs. Prometheus vs. RDF4J

System Properties Comparison Apache Impala vs. Kdb vs. NuoDB vs. Prometheus vs. RDF4J

Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonKdb  Xexclude from comparisonNuoDB  Xexclude from comparisonPrometheus  Xexclude from comparisonRDF4J infoformerly known as Sesame  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopHigh performance Time Series DBMSNuoDB is a webscale distributed database that supports SQL and ACID transactionsOpen-source Time Series DBMS and monitoring systemRDF4J is a Java framework for processing RDF data, supporting both memory-based and a disk-based storage.
Primary database modelRelational DBMSTime Series DBMS
Vector DBMS
Relational DBMSTime Series DBMSRDF store
Secondary database modelsDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score12.45
Rank#40  Overall
#24  Relational DBMS
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score0.94
Rank#197  Overall
#92  Relational DBMS
Score7.69
Rank#50  Overall
#3  Time Series DBMS
Score0.74
Rank#222  Overall
#9  RDF stores
Websiteimpala.apache.orgkx.comwww.3ds.com/­nuodb-distributed-sql-databaseprometheus.iordf4j.org
Technical documentationimpala.apache.org/­impala-docs.htmlcode.kx.comdoc.nuodb.comprometheus.io/­docsrdf4j.org/­documentation
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaKx Systems, a division of First Derivatives plcDassault Systèmes infooriginally NuoDB, Inc.Since 2016 officially forked into an Eclipse project, former developer was Aduna Software.
Initial release20132000 infokdb was released 2000, kdb+ in 2003201320152004
Current release4.1.0, June 20223.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infofree 32-bit versioncommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoEclipse Distribution License (EDL), v1.0.
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++qC++GoJava
Server operating systemsLinuxLinux
OS X
Solaris
Windows
hosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
Windows
Linux
OS X
Unix
Windows
Data schemeyesyesyesyesyes infoRDF Schemas
Typing infopredefined data types such as float or dateyesyesyesNumeric data onlyyes
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.noyesnono infoImport of XML data possible
Secondary indexesyesyes infotable attribute 'grouped'yesnoyes
SQL infoSupport of SQLSQL-like DML and DDL statementsSQL-like query language (q)yesnono
APIs and other access methodsJDBC
ODBC
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
ODBC
RESTful HTTP/JSON APIJava API
RIO infoRDF Input/Output
Sail API
SeRQL infoSesame RDF Query Language
Sesame REST HTTP Protocol
SPARQL
Supported programming languagesAll languages supporting JDBC/ODBCC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C++
Go
Haskell
Java
JavaScript (Node.js)
Python
Ruby
Java
PHP
Python
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceuser defined functionsJava, SQLnoyes
Triggersnoyes infowith viewsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningdata is dynamically stored/cached on the nodes where it is read/writtenShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorSource-replica replicationyes infoManaged transparently by NuoDByes infoby Federationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceno infosimilar paradigm used for internal processingnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyImmediate ConsistencyImmediate Consistencynone
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACID infotunable commit protocolnoACID infoIsolation support depends on the API used
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCCyesyes
Durability infoSupport for making data persistentyesyesyesyesyes infoin-memory storage is supported as well
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyes infoTemporary tableno
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosrights management via user accountsStandard SQL roles/ privileges, Administrative Usersnono
More information provided by the system vendor
Apache ImpalaKdbNuoDBPrometheusRDF4J infoformerly known as Sesame
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 ImpalaKdbNuoDBPrometheusRDF4J infoformerly known as Sesame
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