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DBMS > Databricks vs. DolphinDB vs. MarkLogic vs. Valentina Server

System Properties Comparison Databricks vs. DolphinDB vs. MarkLogic vs. Valentina Server

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Editorial information provided by DB-Engines
NameDatabricks  Xexclude from comparisonDolphinDB  Xexclude from comparisonMarkLogic  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionThe Databricks Lakehouse Platform combines elements of data lakes and data warehouses to provide a unified view onto structured and unstructured data. It is based on Apache Spark.DolphinDB is a high performance Time Series DBMS. It is integrated with an easy-to-use fully featured programming language and a high-volume high-velocity streaming analytics system. It offers operational simplicity, scalability, fault tolerance, and concurrency.Operational and transactional Enterprise NoSQL databaseObject-relational database and reports server
Primary database modelDocument store
Relational DBMS
Time Series DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Relational DBMS
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score78.61
Rank#15  Overall
#2  Document stores
#10  Relational DBMS
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitewww.databricks.comwww.dolphindb.comwww.marklogic.comwww.valentina-db.net
Technical documentationdocs.databricks.comdocs.dolphindb.cn/­en/­help200/­index.htmldocs.marklogic.comvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDatabricksDolphinDB, IncMarkLogic Corp.Paradigma Software
Initial release2013201820011999
Current releasev2.00.4, January 202211.0, December 20225.7.5
License infoCommercial or Open Sourcecommercialcommercial infofree community version availablecommercial inforestricted free version is availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C++
Server operating systemshostedLinux
Windows
Linux
OS X
Windows
Linux
OS X
Windows
Data schemeFlexible Schema (defined schema, partial schema, schema free)yesschema-free infoSchema can be enforcedyes
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.yesnoyes
Secondary indexesyesyesyesyes
SQL infoSupport of SQLwith Databricks SQLSQL-like query languageyes infoSQL92yes
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
JDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
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
ODBC
Supported programming languagesPython
R
Scala
C#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresuser defined functions and aggregatesyesyes infovia XQuery or JavaScriptyes
Triggersnoyesyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACID infocan act as a resource manager in an XA/JTA transaction
Concurrency infoSupport for concurrent manipulation of datayesyesyes
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.noyesyes, with Range Indexesyes
User concepts infoAccess controlAdministrators, Users, GroupsRole-based access control at the document and subdocument levelsfine grained access rights according to SQL-standard
More information provided by the system vendor
DatabricksDolphinDBMarkLogicValentina Server
Specific characteristicsSupported database models : In addition to the Document store and Relational DBMS...
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More resources
DatabricksDolphinDBMarkLogicValentina Server
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