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DBMS > DolphinDB vs. Linter vs. Percona Server for MongoDB

System Properties Comparison DolphinDB vs. Linter vs. Percona Server for MongoDB

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonLinter  Xexclude from comparisonPercona Server for MongoDB  Xexclude from comparison
DescriptionDolphinDB 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.RDBMS for high security requirementsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.
Primary database modelTime Series DBMSRelational DBMSDocument store
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.09
Rank#346  Overall
#152  Relational DBMS
Score0.52
Rank#254  Overall
#39  Document stores
Websitewww.dolphindb.comlinter.ruwww.percona.com/­mongodb/­software/­percona-server-for-mongodb
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmldocs.percona.com/­percona-distribution-for-mongodb
DeveloperDolphinDB, Increlex.ruPercona
Initial release201819902015
Current releasev2.00.4, January 20223.4.10-2.10, November 2017
License infoCommercial or Open Sourcecommercial infofree community version availablecommercialOpen Source infoGPL Version 2
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++C and C++C++
Server operating systemsLinux
Windows
AIX
Android
BSD
HP Open VMS
iOS
Linux
OS X
VxWorks
Windows
Linux
Data schemeyesyesschema-free
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.nonono
Secondary indexesyesyesyes
SQL infoSupport of SQLSQL-like query languageyesno
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
ADO.NET
JDBC
LINQ
ODBC
OLE DB
Oracle Call Interface (OCI)
proprietary protocol using JSON
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
C
C#
C++
Java
Perl
PHP
Python
Qt
Ruby
Tcl
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
Server-side scripts infoStored proceduresyesyes infoproprietary syntax with the possibility to convert from PL/SQLJavaScript
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSource-replica replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes infovia In-Memory Engine
User concepts infoAccess controlAdministrators, Users, Groupsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
DolphinDBLinterPercona Server for MongoDB
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