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DBMS > LeanXcale vs. Sphinx vs. Splunk vs. Transwarp ArgoDB

System Properties Comparison LeanXcale vs. Sphinx vs. Splunk vs. Transwarp ArgoDB

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Editorial information provided by DB-Engines
NameLeanXcale  Xexclude from comparisonSphinx  Xexclude from comparisonSplunk  Xexclude from comparisonTranswarp ArgoDB  Xexclude from comparison
DescriptionA highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesOpen source search engine for searching in data from different sources, e.g. relational databasesAnalytics Platform for Big DataDistributed Analytical Database to replace Hadoop+MPP hybrid architecture
Primary database modelKey-value store
Relational DBMS
Search engineSearch engineRelational DBMS
Secondary database modelsSearch engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.36
Rank#280  Overall
#40  Key-value stores
#129  Relational DBMS
Score5.95
Rank#55  Overall
#5  Search engines
Score89.10
Rank#14  Overall
#2  Search engines
Score0.12
Rank#348  Overall
#151  Relational DBMS
Websitewww.leanxcale.comsphinxsearch.comwww.splunk.comwww.transwarp.cn/­en/­product/­argodb
Technical documentationsphinxsearch.com/­docsdocs.splunk.com/­Documentation/­Splunkdocs.transwarp.cn/­#/­documents-support/­docs?category=ARGODB
DeveloperLeanXcaleSphinx Technologies Inc.Splunk Inc.Transwarp
Initial release201520012003
Current release3.5.1, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL version 2, commercial licence availablecommercial infoLimited free edition and free developer edition availablecommercial
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 languageC++
Server operating systemsFreeBSD
Linux
NetBSD
OS X
Solaris
Windows
Linux
OS X
Solaris
Windows
Data schemeyesyesyesyes
Typing infopredefined data types such as float or datenoyesyes
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
Secondary indexesyes infofull-text index on all search fieldsyesyes
SQL infoSupport of SQLyes infothrough Apache DerbySQL-like query language (SphinxQL)no infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
Proprietary protocolHTTP REST
Supported programming languagesC
Java
Scala
C++ infounofficial client library
Java
Perl infounofficial client library
PHP
Python
Ruby infounofficial client library
C#
Java
JavaScript
PHP
Python
Ruby
Server-side scripts infoStored proceduresnoyes
Triggersnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infoPartitioning is done manually, search queries against distributed index is supportedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnono infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searching
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infoThe original contents of fields are not stored in the Sphinx index.yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlnoAccess rights for users and roles

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More resources
LeanXcaleSphinxSplunkTranswarp ArgoDB
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