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DBMS > Ehcache vs. GeoMesa vs. MarkLogic vs. Solr vs. VelocityDB

System Properties Comparison Ehcache vs. GeoMesa vs. MarkLogic vs. Solr vs. VelocityDB

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeoMesa  Xexclude from comparisonMarkLogic  Xexclude from comparisonSolr  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsGeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.Operational and transactional Enterprise NoSQL databaseA widely used distributed, scalable search engine based on Apache LuceneA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeSpatial DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Search engineGraph DBMS
Object oriented DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score41.02
Rank#24  Overall
#3  Search engines
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.ehcache.orgwww.geomesa.orgwww.marklogic.comsolr.apache.orgvelocitydb.com
Technical documentationwww.ehcache.org/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.marklogic.comsolr.apache.org/­resources.htmlvelocitydb.com/­UserGuide
DeveloperTerracotta Inc, owned by Software AGCCRi and othersMarkLogic Corp.Apache Software FoundationVelocityDB Inc
Initial release20092014200120062011
Current release3.10.0, March 20225.0.0, May 202411.0, December 20229.6.1, May 20247.x
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache License 2.0commercial inforestricted free version is availableOpen Source infoApache Version 2commercial
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 languageJavaScalaC++JavaC#
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
All OS with a Java VM inforuns as a servlet in servlet container (e.g. Tomcat, Jetty is included)Any that supports .NET
Data schemeschema-freeyesschema-free infoSchema can be enforcedyes infoDynamic Fields enables on-the-fly addition of new fieldsyes
Typing infopredefined data types such as float or dateyesyesyesyes infosupports customizable data types and automatic typingyes
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.nonoyesyesno
Secondary indexesnoyesyesyes infoAll search fields are automatically indexedyes
SQL infoSupport of SQLnonoyes infoSQL92Solr Parallel SQL Interfaceno
APIs and other access methodsJCacheJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
Java API
RESTful HTTP/JSON API
.Net
Supported programming languagesJavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Erlang
Java
JavaScript
any language that supports sockets and either XML or JSON
Perl
PHP
Python
Ruby
Scala
.Net
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptJava pluginsno
Triggersyes infoCache Event Listenersnoyesyes infoUser configurable commands triggered on index changesCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverdepending on storage layerShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serverdepending on storage layeryesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsspark-solr: github.com/­lucidworks/­spark-solr and streaming expressions to reduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)depending on storage layerImmediate ConsistencyEventual ConsistencyImmediate Consistency
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 resourcenoACID infocan act as a resource manager in an XA/JTA transactionoptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryes, with Range Indexesyesyes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageRole-based access control at the document and subdocument levelsyesBased on Windows Authentication

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EhcacheGeoMesaMarkLogicSolrVelocityDB
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