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DBMS > LeanXcale vs. Postgres-XL vs. Splunk

System Properties Comparison LeanXcale vs. Postgres-XL vs. Splunk

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSplunk  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresAnalytics Platform for Big Data
Primary database modelKey-value store
Relational DBMS
Relational DBMSSearch engine
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.35
Rank#283  Overall
#41  Key-value stores
#128  Relational DBMS
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score88.71
Rank#14  Overall
#2  Search engines
Websitewww.leanxcale.comwww.postgres-xl.orgwww.splunk.com
Technical documentationwww.postgres-xl.org/­documentationdocs.splunk.com/­Documentation/­Splunk
DeveloperLeanXcaleSplunk Inc.
Initial release20152014 infosince 2012, originally named StormDB2003
Current release10 R1, October 2018
License infoCommercial or Open SourcecommercialOpen Source infoMozilla public licensecommercial infoLimited free edition and free developer edition available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC
Server operating systemsLinux
macOS
Linux
OS X
Solaris
Windows
Data schemeyesyesyes
Typing infopredefined data types such as float or dateyesyes
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.yes infoXML type, but no XML query functionalityyes
Secondary indexesyesyes
SQL infoSupport of SQLyes infothrough Apache Derbyyes infodistributed, parallel query executionno infoSplunk Search Processing Language for search commands
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
Supported programming languagesC
Java
Scala
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes
Triggersyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infoMVCCno 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.yesnono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
LeanXcalePostgres-XLSplunk
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