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DBMS > Apache Impala vs. Splunk vs. Tkrzw

System Properties Comparison Apache Impala vs. Splunk vs. Tkrzw

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Editorial information provided by DB-Engines
NameApache Impala  Xexclude from comparisonSplunk  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  Xexclude from comparison
DescriptionAnalytic DBMS for HadoopAnalytics Platform for Big DataA 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 DBMSSearch engineKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score13.77
Rank#40  Overall
#24  Relational DBMS
Score86.45
Rank#14  Overall
#2  Search engines
Score0.00
Rank#383  Overall
#60  Key-value stores
Websiteimpala.apache.orgwww.splunk.comdbmx.net/­tkrzw
Technical documentationimpala.apache.org/­impala-docs.htmldocs.splunk.com/­Documentation/­Splunk
DeveloperApache Software Foundation infoApache top-level project, originally developed by ClouderaSplunk Inc.Mikio Hirabayashi
Initial release201320032020
Current release4.1.0, June 20220.9.3, August 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2commercial infoLimited free edition and free developer edition availableOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemsLinuxLinux
OS X
Solaris
Windows
Linux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesno
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.noyesno
Secondary indexesyesyes
SQL infoSupport of SQLSQL-like DML and DDL statementsno infoSplunk Search Processing Language for search commandsno
APIs and other access methodsJDBC
ODBC
HTTP REST
Supported programming languagesAll languages supporting JDBC/ODBCC#
Java
JavaScript
PHP
Python
Ruby
C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes infouser defined functions and integration of map-reduceyesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factorMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infoquery execution via MapReduceyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing specific database classes
User concepts infoAccess controlAccess rights for users, groups and roles infobased on Apache Sentry and KerberosAccess rights for users and rolesno

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More resources
Apache ImpalaSplunkTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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