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DBMS > DolphinDB vs. EJDB vs. Postgres-XL

System Properties Comparison DolphinDB vs. EJDB vs. Postgres-XL

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonEJDB  Xexclude from comparisonPostgres-XL  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.Embeddable document-store database library with JSON representation of queries (in MongoDB style)Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelTime Series DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMSDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.13
Rank#80  Overall
#6  Time Series DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitewww.dolphindb.comgithub.com/­Softmotions/­ejdbwww.postgres-xl.org
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.postgres-xl.org/­documentation
DeveloperDolphinDB, IncSoftmotions
Initial release201820122014 infosince 2012, originally named StormDB
Current releasev2.00.4, January 202210 R1, October 2018
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPLv2Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CC
Server operating systemsLinux
Windows
server-lessLinux
macOS
Data schemeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyes
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.noyes infoXML type, but no XML query functionality
Secondary indexesyesnoyes
SQL infoSupport of SQLSQL-like query languagenoyes infodistributed, parallel query execution
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
in-process shared libraryADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Go
Java
JavaScript
MatLab
Python
R
Rust
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesnouser defined functions
Triggersnonoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possibleyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyes
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.yesno
User concepts infoAccess controlAdministrators, Users, Groupsnofine grained access rights according to SQL-standard

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