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

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

Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonGeoMesa  Xexclude from comparisonGigaSpaces  Xexclude from comparisonMarkLogic  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.High performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsOperational and transactional Enterprise NoSQL databaseA .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelKey-value storeSpatial DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Graph DBMS
Object oriented DBMS
Secondary database modelsGraph DBMS
Search engine
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
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.11
Rank#354  Overall
#37  Graph DBMS
#15  Object oriented DBMS
Websitewww.ehcache.orgwww.geomesa.orgwww.gigaspaces.comwww.marklogic.comvelocitydb.com
Technical documentationwww.ehcache.org/­documentationwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.gigaspaces.com/­latest/­landing.htmldocs.marklogic.comvelocitydb.com/­UserGuide
DeveloperTerracotta Inc, owned by Software AGCCRi and othersGigaspaces TechnologiesMarkLogic Corp.VelocityDB Inc
Initial release20092014200020012011
Current release3.10.0, March 20225.0.0, May 202415.5, September 202011.0, December 20227.x
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availableOpen Source infoApache License 2.0Open Source infoApache Version 2; Commercial licenses availablecommercial inforestricted free version is 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 languageJavaScalaJava, C++, .NetC++C#
Server operating systemsAll OS with a Java VMLinux
macOS
Solaris
Windows
Linux
OS X
Windows
Any that supports .NET
Data schemeschema-freeyesschema-freeschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonono infoXML can be used for describing objects metadatayesno
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLnonoSQL-99 for query and DML statementsyes infoSQL92no
APIs and other access methodsJCacheGigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
.Net
Supported programming languagesJava.Net
C++
Java
Python
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
Server-side scripts infoStored proceduresnonoyesyes infovia XQuery or JavaScriptno
Triggersyes infoCache Event Listenersnoyes, event driven architectureyesCallbacks 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 layerMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoMap-Reduce pattern can be built with XAP task executorsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)depending on storage layerImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate 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 resourcenoACIDACID infocan act as a resource manager in an XA/JTA transactionACID
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 layeryesyes, with Range Indexesyes
User concepts infoAccess controlnoyes infodepending on the DBMS used for storageRole-based access controlRole-based access control at the document and subdocument levelsBased on Windows Authentication

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More resources
EhcacheGeoMesaGigaSpacesMarkLogicVelocityDB
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