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DBMS > Dolt vs. EventStoreDB vs. MarkLogic vs. Spark SQL vs. SwayDB

System Properties Comparison Dolt vs. EventStoreDB vs. MarkLogic vs. Spark SQL vs. SwayDB

Editorial information provided by DB-Engines
NameDolt  Xexclude from comparisonEventStoreDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonSpark SQL  Xexclude from comparisonSwayDB  Xexclude from comparison
DescriptionA MySQL compatible DBMS with Git-like versioning of data and schemaIndustrial-strength, open-source database solution built from the ground up for event sourcing.Operational and transactional Enterprise NoSQL databaseSpark SQL is a component on top of 'Spark Core' for structured data processingAn embeddable, non-blocking, type-safe key-value store for single or multiple disks and in-memory storage
Primary database modelRelational DBMSEvent StoreDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSKey-value store
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.96
Rank#193  Overall
#90  Relational DBMS
Score1.10
Rank#179  Overall
#1  Event Stores
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.00
Rank#382  Overall
#59  Key-value stores
Websitegithub.com/­dolthub/­dolt
www.dolthub.com
www.eventstore.comwww.marklogic.comspark.apache.org/­sqlswaydb.simer.au
Technical documentationdocs.dolthub.comdevelopers.eventstore.comdocs.marklogic.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDoltHub IncEvent Store LimitedMarkLogic Corp.Apache Software FoundationSimer Plaha
Initial release20182012200120142018
Current release21.2, February 202111.0, December 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Sourcecommercial inforestricted free version is availableOpen Source infoApache 2.0Open Source infoGNU Affero GPL V3.0
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 languageGoC++ScalaScala
Server operating systemsLinux
macOS
Windows
Linux
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeyesschema-free infoSchema can be enforcedyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyesnono
Secondary indexesyesyesnono
SQL infoSupport of SQLyesyes infoSQL92SQL-like DML and DDL statementsno
APIs and other access methodsCLI Client
HTTP REST
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
JDBC
ODBC
Supported programming languagesAda
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Python
R
Scala
Java
Kotlin
Scala
Server-side scripts infoStored proceduresyes infocurrently in alpha releaseyes infovia XQuery or JavaScriptnono
Triggersyesyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes, utilizing Spark Corenone
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.yesnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionnoAtomic execution of operations
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, with Range Indexesnoyes
User concepts infoAccess controlOnly one user is configurable, and must be specified in the config file at startupRole-based access control at the document and subdocument levelsnono

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More resources
DoltEventStoreDBMarkLogicSpark SQLSwayDB
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