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DBMS > Ehcache vs. LokiJS vs. MarkLogic vs. Splunk vs. Teradata Aster

System Properties Comparison Ehcache vs. LokiJS vs. MarkLogic vs. Splunk vs. Teradata Aster

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonLokiJS  Xexclude from comparisonMarkLogic  Xexclude from comparisonSplunk  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionA widely adopted Java cache with tiered storage optionsIn-memory JavaScript DBMSOperational and transactional Enterprise NoSQL databaseAnalytics Platform for Big DataPlatform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.89
Rank#67  Overall
#8  Key-value stores
Score0.43
Rank#264  Overall
#42  Document stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score86.45
Rank#14  Overall
#2  Search engines
Websitewww.ehcache.orggithub.com/­techfort/­LokiJSwww.marklogic.comwww.splunk.com
Technical documentationwww.ehcache.org/­documentationtechfort.github.io/­LokiJSdocs.marklogic.comdocs.splunk.com/­Documentation/­Splunk
DeveloperTerracotta Inc, owned by Software AGMarkLogic Corp.Splunk Inc.Teradata
Initial release20092014200120032005
Current release3.10.0, March 202211.0, December 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Sourcecommercial inforestricted free version is availablecommercial infoLimited free edition and free developer edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaScriptC++
Server operating systemsAll OS with a Java VMserver-less, requires a JavaScript environment (browser, Node.js)Linux
OS X
Windows
Linux
OS X
Solaris
Windows
Linux
Data schemeschema-freeschema-freeschema-free infoSchema can be enforcedyesFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or dateyesnoyesyesyes
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.nonoyesyesyes infoin Aster File Store
Secondary indexesnoyes infovia viewsyesyesyes
SQL infoSupport of SQLnonoyes infoSQL92no infoSplunk Search Processing Language for search commandsyes
APIs and other access methodsJCacheJavaScript APIJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
HTTP RESTADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesJavaJavaScriptC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
Java
JavaScript
PHP
Python
Ruby
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoView functions in JavaScriptyes infovia XQuery or JavaScriptyesR packages
Triggersyes infoCache Event Listenersyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServernoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServernoneyesMulti-source replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)noneImmediate ConsistencyEventual ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayes infosupports JTA and can work as an XA resourceno infoatomic operations within a single collection possibleACID infocan act as a resource manager in an XA/JTA transactionno infoA 'Transaction' in Splunk has a different meaning: grouping related events into a single one for later searchingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyes infoSerialization of a DB in a Node.JS/Cordova/PhoneGap environment. Usage of the IndexedDB-API in a browser.yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexesnono
User concepts infoAccess controlnonoRole-based access control at the document and subdocument levelsAccess rights for users and rolesfine grained access rights according to SQL-standard

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More resources
EhcacheLokiJSMarkLogicSplunkTeradata Aster
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