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DBMS > Dolt vs. Ehcache vs. MarkLogic vs. ReductStore

System Properties Comparison Dolt vs. Ehcache vs. MarkLogic vs. ReductStore

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Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEhcache  Xexclude from comparisonMarkLogic  Xexclude from comparisonReductStore  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaA widely adopted Java cache with tiered storage optionsOperational and transactional Enterprise NoSQL databaseDesigned to manage unstructured time-series data efficiently, providing unique features such as storing time-stamped blobs with labels, customizable data retention policies, and a straightforward FIFO quota system.
Primary database modelRelational DBMSKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.02
Rank#191  Overall
#89  Relational DBMS
Score4.64
Rank#68  Overall
#8  Key-value stores
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.05
Rank#384  Overall
#44  Time Series DBMS
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.ehcache.orgwww.progress.com/­marklogicgithub.com/­reductstore
www.reduct.store
Technical documentationdocs.dolthub.comwww.ehcache.org/­documentationwww.progress.com/­marklogic/­documentationwww.reduct.store/­docs
DeveloperDoltHub IncTerracotta Inc, owned by Software AGMarkLogic Corp.ReductStore LLC
Initial release2018200920012023
Current release3.10.0, March 202211.0, December 20221.9, March 2024
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; commercial licenses availablecommercial inforestricted free version is availableOpen Source infoBusiness Source License 1.1
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJavaC++C++, Rust
Server operating systemsLinux
macOS
Windows
All OS with a Java VMLinux
OS X
Windows
Docker
Linux
macOS
Windows
Data schemeyesschema-freeschema-free infoSchema can be enforced
Typing infopredefined data types such as float or dateyesyesyes
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 indexesyesnoyes
SQL infoSupport of SQLyesnoyes infoSQL92
APIs and other access methodsCLI Client
HTTP REST
JCacheJava 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 API
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
JavaC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C++
JavaScript (Node.js)
Python
Rust
Server-side scripts infoStored proceduresyes infocurrently in alpha releasenoyes infovia XQuery or JavaScript
Triggersyesyes infoCache Event Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infoby using Terracotta ServerSharding
Replication methods infoMethods for redundantly storing data on multiple nodesA database can be cloned to multiple locations and be used there in isolation. Data/schema changes can be pushed/pulled explicitly between locations.yes infoby using Terracotta Serveryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobs
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable Consistency (Strong, Eventual, Weak)Immediate Consistency
Foreign keys infoReferential integrityyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyes infosupports JTA and can work as an XA resourceACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyes infousing a tiered cache-storage approachyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupnoRole-based access control at the document and subdocument levels

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More resources
DoltEhcacheMarkLogicReductStore
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