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DBMS > DuckDB vs. MarkLogic vs. NSDb vs. Vitess

System Properties Comparison DuckDB vs. MarkLogic vs. NSDb vs. Vitess

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Editorial information provided by DB-Engines
NameDuckDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonNSDb  Xexclude from comparisonVitess  Xexclude from comparison
DescriptionAn embeddable, in-process, column-oriented SQL OLAP RDBMSOperational and transactional Enterprise NoSQL databaseScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesScalable, distributed, cloud-native DBMS, extending MySQL
Primary database modelRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Time Series DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.63
Rank#69  Overall
#37  Relational DBMS
Score5.18
Rank#63  Overall
#11  Document stores
#1  Native XML DBMS
#1  RDF stores
#7  Search engines
Score0.08
Rank#369  Overall
#40  Time Series DBMS
Score0.88
Rank#203  Overall
#95  Relational DBMS
Websiteduckdb.orgwww.marklogic.comnsdb.iovitess.io
Technical documentationduckdb.org/­docsdocs.marklogic.comnsdb.io/­Architecturevitess.io/­docs
DeveloperMarkLogic Corp.The Linux Foundation, PlanetScale
Initial release2018200120172013
Current release1.0.0, June 202411.0, December 202215.0.2, December 2022
License infoCommercial or Open SourceOpen Source infoMIT Licensecommercial inforestricted free version is availableOpen Source infoApache Version 2.0Open Source infoApache Version 2.0, commercial licenses available
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++C++Java, ScalaGo
Server operating systemsserver-lessLinux
OS X
Windows
Linux
macOS
Docker
Linux
macOS
Data schemeyesschema-free infoSchema can be enforcedyes
Typing infopredefined data types such as float or dateyesyesyes: int, bigint, decimal, stringyes
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.noyesno
Secondary indexesyesyesall fields are automatically indexedyes
SQL infoSupport of SQLyesyes infoSQL92SQL-like query languageyes infowith proprietary extensions
APIs and other access methodsArrow Database Connectivity (ADBC)
CLI Client
JDBC
ODBC
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
gRPC
HTTP REST
WebSocket
ADO.NET
JDBC
MySQL protocol
ODBC
Supported programming languagesC
C# info3rd party driver
C++
Crystal info3rd party driver
Go info3rd party driver
Java
Lisp info3rd party driver
Python
R
Ruby info3rd party driver
Rust
Swift
Zig info3rd party driver
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Java
Scala
Ada
C
C#
C++
D
Delphi
Eiffel
Erlang
Haskell
Java
JavaScript (Node.js)
Objective-C
OCaml
Perl
PHP
Python
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnoyes infovia XQuery or JavaScriptnoyes infoproprietary syntax
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency across shards
Immediate Consistency within a shard
Foreign keys infoReferential integritynononoyes infonot for MyISAM storage engine
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID infocan act as a resource manager in an XA/JTA transactionnoACID at shard level
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes infotable locks or row locks depending on storage engine
Durability infoSupport for making data persistentyesyesUsing Apache Luceneyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes, with Range Indexesyes
User concepts infoAccess controlnoRole-based access control at the document and subdocument levelsUsers with fine-grained authorization concept infono user groups or roles

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More resources
DuckDBMarkLogicNSDbVitess
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