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DBMS > MarkLogic vs. SiriDB vs. Spark SQL vs. SurrealDB

System Properties Comparison MarkLogic vs. SiriDB vs. Spark SQL vs. SurrealDB

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Editorial information provided by DB-Engines
NameMarkLogic  Xexclude from comparisonSiriDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSurrealDB  Xexclude from comparison
DescriptionOperational and transactional Enterprise NoSQL databaseOpen Source Time Series DBMSSpark SQL is a component on top of 'Spark Core' for structured data processingA fully ACID transactional, developer-friendly, multi-model DBMS
Primary database modelDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSRelational DBMSDocument store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score0.86
Rank#203  Overall
#34  Document stores
#18  Graph DBMS
Websitewww.marklogic.comsiridb.comspark.apache.org/­sqlsurrealdb.com
Technical documentationdocs.marklogic.comdocs.siridb.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlsurrealdb.com/­docs
DeveloperMarkLogic Corp.CesbitApache Software FoundationSurrealDB Ltd
Initial release2001201720142022
Current release11.0, December 20223.5.0 ( 2.13), September 2023v1.5.0, May 2024
License infoCommercial or Open Sourcecommercial inforestricted free version is availableOpen Source infoMIT LicenseOpen Source infoApache 2.0Open Source
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 languageC++CScalaRust
Server operating systemsLinux
OS X
Windows
LinuxLinux
OS X
Windows
Linux
macOS
Windows
Data schemeschema-free infoSchema can be enforcedyesyesschema-free
Typing infopredefined data types such as float or dateyesyes infoNumeric datayesyes
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.yesnono
Secondary indexesyesyesno
SQL infoSupport of SQLyes infoSQL92noSQL-like DML and DDL statementsSQL-like query language
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
HTTP APIJDBC
ODBC
GraphQL
RESTful HTTP API
WebSocket
Supported programming languagesC
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
C
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Java
Python
R
Scala
Deno
Go
JavaScript (Node.js)
Rust
Server-side scripts infoStored proceduresyes infovia XQuery or JavaScriptnono
Triggersyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingShardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACID infocan act as a resource manager in an XA/JTA transactionnonoACID
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 Indexesyesno
User concepts infoAccess controlRole-based access control at the document and subdocument levelssimple rights management via user accountsnoyes, based on authentication and database rules

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More resources
MarkLogicSiriDBSpark SQLSurrealDB
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