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DBMS > Ehcache vs. Kdb vs. MarkLogic vs. VoltDB

System Properties Comparison Ehcache vs. Kdb vs. MarkLogic vs. VoltDB

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonKdb  Xexclude from comparisonMarkLogic  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsHigh performance Time Series DBMSOperational and transactional Enterprise NoSQL databaseDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelKey-value storeTime Series DBMS
Vector DBMS
Document store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score7.71
Rank#49  Overall
#2  Time Series DBMS
#1  Vector DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitewww.ehcache.orgkx.comwww.marklogic.comwww.voltdb.com
Technical documentationwww.ehcache.org/­documentationcode.kx.comdocs.marklogic.comdocs.voltdb.com
DeveloperTerracotta Inc, owned by Software AGKx Systems, a division of First Derivatives plcMarkLogic Corp.VoltDB Inc.
Initial release20092000 infokdb was released 2000, kdb+ in 200320012010
Current release3.10.0, March 20223.6, May 201811.0, December 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree 32-bit versioncommercial inforestricted free version is availableOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaqC++Java, C++
Server operating systemsAll OS with a Java VMLinux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeschema-freeyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyesyes
Secondary indexesnoyes infotable attribute 'grouped'yesyes
SQL infoSupport of SQLnoSQL-like query language (q)yes infoSQL92yes infoonly a subset of SQL 99
APIs and other access methodsJCacheHTTP API
JDBC
Jupyter
Kafka
ODBC
WebSocket
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
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesJavaC
C#
C++
Go
J
Java
JavaScript
Lua
MatLab
Perl
PHP
Python
R
Scala
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnouser defined functionsyes infovia XQuery or JavaScriptJava
Triggersyes infoCache Event Listenersyes infowith viewsyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta Serverhorizontal partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta ServerSource-replica replicationyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infosimilar paradigm used for internal processingyes 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)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnono infoFOREIGN KEY constraints are not supported
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 transactionACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes infousing a tiered cache-storage approachyesyesyes infoSnapshots and command logging
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes, with Range Indexes
User concepts infoAccess controlnorights management via user accountsRole-based access control at the document and subdocument levelsUsers and roles with access to stored procedures
More information provided by the system vendor
EhcacheKdbMarkLogicVoltDB
Specific characteristicsIntegrated columnar database & programming system for streaming, real time and historical...
» more
Competitive advantagesprovides seamless scalability; runs on industry standard server platforms; is top-ranked...
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Typical application scenariostick database streaming sensor data massive intelligence applications oil and gas...
» more
Key customersGoldman Sachs Morgan Stanley Merrill Lynch J.P. Morgan Deutsche Bank IEX Securities...
» more
Market metricskdb+ performance and reliability proven by our customers in critical infrastructure...
» more
Licensing and pricing modelsupon request
» more

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EhcacheKdbMarkLogicVoltDB
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