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DBMS > Apache Impala vs. Graphite vs. Kdb vs. Linter

System Properties Comparison Apache Impala vs. Graphite vs. Kdb vs. Linter

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonGraphite  Xexclude from comparisonKdb  Xexclude from comparisonLinter  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopData logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperHigh performance Time Series DBMSRDBMS for high security requirements
Primary database modelRelational DBMSTime Series DBMSTime Series DBMS
Vector DBMS
Relational DBMS
Secondary database modelsDocument storeRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score7.55
Rank#53  Overall
#3  Time Series DBMS
#1  Vector DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Websiteimpala.apache.orggithub.com/­graphite-project/­graphite-webkx.comlinter.ru
Technical documentationimpala.apache.org/­impala-docs.htmlgraphite.readthedocs.iocode.kx.com
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaChris DavisKx Systems, a division of First Derivatives plcrelex.ru
Initial release201320062000 infokdb was released 2000, kdb+ in 20031990
Current release4.1.0, June 20223.6, May 2018
License infoCommercial or Open SourceOpen Source infoApache Version 2Open Source infoApache 2.0commercial infofree 32-bit versioncommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonqC and C++
Server operating systemsLinuxLinux
Unix
Linux
OS X
Solaris
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or dateyesNumeric data onlyyesyes
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.nonoyesno
Secondary indexesyesnoyes infotable attribute 'grouped'yes
SQL infoSupport of SQLSQL-like DML and DDL statementsnoSQL-like query language (q)yes
APIs and other access methodsJDBC
ODBC
HTTP API
Sockets
HTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
Supported programming languagesAll languages supporting JDBC/ODBCJavaScript (Node.js)
Python
C
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reducenouser defined functionsyes infoproprietary syntax with the possibility to convert from PL/SQL
Triggersnonoyes infowith viewsyes
Partitioning methods infoMethods for storing different data on different nodesShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factornoneSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReducenono infosimilar paradigm used for internal processingno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infolockingyesyes
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.noyes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and Kerberosnorights management via user accountsfine grained access rights according to SQL-standard
More information provided by the system vendor
Apache ImpalaGraphiteKdbLinter
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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Apache ImpalaGraphiteKdbLinter
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