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DBMS > Ehcache vs. HarperDB vs. MarkLogic vs. VoltDB

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

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Editorial information provided by DB-Engines
NameEhcache  Xexclude from comparisonHarperDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonVoltDB  Xexclude from comparison
DescriptionA widely adopted Java cache with tiered storage optionsUltra-low latency distributed database with an intuitive REST API supporting NoSQL and SQL (including joins). Deployment of functions and databases simultaneously with a consolidated node-level architecture.Operational 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 storeDocument storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.64
Rank#68  Overall
#8  Key-value stores
Score0.60
Rank#244  Overall
#38  Document stores
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.orgwww.harperdb.iowww.marklogic.comwww.voltdb.com
Technical documentationwww.ehcache.org/­documentationdocs.harperdb.io/­docsdocs.marklogic.comdocs.voltdb.com
DeveloperTerracotta Inc, owned by Software AGHarperDBMarkLogic Corp.VoltDB Inc.
Initial release2009201720012010
Current release3.10.0, March 20223.1, August 202111.0, December 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; commercial licenses availablecommercial infofree community edition availablecommercial 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 languageJavaNode.jsC++Java, C++
Server operating systemsAll OS with a Java VMLinux
OS X
Linux
OS X
Windows
Linux
OS X infofor development
Data schemeschema-freedynamic schemaschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyes infoJSON data typesyesyes
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.nonoyes
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoSQL-like data manipulation statementsyes infoSQL92yes infoonly a subset of SQL 99
APIs and other access methodsJCacheJDBC
ODBC
React Hooks
RESTful HTTP/JSON API
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 languagesJava.Net
C
C#
C++
ColdFusion
D
Dart
Delphi
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Lisp
MatLab
Objective C
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Rust
Scala
Swift
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 proceduresnoCustom Functions infosince release 3.1yes infovia XQuery or JavaScriptJava
Triggersyes infoCache Event Listenersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infoby using Terracotta ServerA table resides as a whole on one (or more) nodes in a clusterShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoby using Terracotta Serveryes infothe nodes on which a table resides can be definedyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes 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 integritynononono 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 resourceAtomic execution of specific operationsACID 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 approachyes, using LMDByesyes 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 controlnoAccess rights for users and rolesRole-based access control at the document and subdocument levelsUsers and roles with access to stored procedures

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More resources
EhcacheHarperDBMarkLogicVoltDB
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