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DBMS > BoltDB vs. MarkLogic vs. Postgres-XL vs. Spark SQL

System Properties Comparison BoltDB vs. MarkLogic vs. Postgres-XL vs. Spark SQL

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Editorial information provided by DB-Engines
NameBoltDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonPostgres-XL  Xexclude from comparisonSpark SQL  Xexclude from comparison
DescriptionAn embedded key-value store for Go.Operational and transactional Enterprise NoSQL databaseBased on PostgreSQL enhanced with MPP and write-scale-out cluster featuresSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.76
Rank#224  Overall
#32  Key-value stores
Score6.50
Rank#56  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#5  Search engines
Score0.52
Rank#256  Overall
#117  Relational DBMS
Score19.15
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­boltdb/­boltwww.marklogic.comwww.postgres-xl.orgspark.apache.org/­sql
Technical documentationdocs.marklogic.comwww.postgres-xl.org/­documentationspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperMarkLogic Corp.Apache Software Foundation
Initial release201320012014 infosince 2012, originally named StormDB2014
Current release11.0, December 202210 R1, October 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial inforestricted free version is availableOpen Source infoMozilla public licenseOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++CScala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
Linux
OS X
Windows
Linux
macOS
Linux
OS X
Windows
Data schemeschema-freeschema-free infoSchema can be enforcedyesyes
Typing infopredefined data types such as float or datenoyesyesyes
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 infoXML type, but no XML query functionalityno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoyes infoSQL92yes infodistributed, parallel query executionSQL-like DML and DDL statements
APIs and other access methodsJava API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
JDBC
ODBC
Supported programming languagesGoC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Java
Python
R
Scala
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptuser defined functionsno
Triggersnoyesyesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardinghorizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesnone
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 systemnoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infocan act as a resource manager in an XA/JTA transactionACID infoMVCCno
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.noyes, with Range Indexesnono
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standardno

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More resources
BoltDBMarkLogicPostgres-XLSpark SQL
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