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DBMS > DolphinDB vs. EJDB vs. GeoMesa vs. HEAVY.AI vs. Tibero

System Properties Comparison DolphinDB vs. EJDB vs. GeoMesa vs. HEAVY.AI vs. Tibero

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonEJDB  Xexclude from comparisonGeoMesa  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonTibero  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)GeoMesa is a distributed spatio-temporal DBMS based on various systems as storage layer.A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareA secure RDBMS, designed for easy portability from Oracle
Primary database modelTime Series DBMSDocument storeSpatial DBMSRelational DBMSRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.03
Rank#78  Overall
#6  Time Series DBMS
Score0.31
Rank#296  Overall
#44  Document stores
Score0.86
Rank#205  Overall
#4  Spatial DBMS
Score1.64
Rank#145  Overall
#67  Relational DBMS
Score1.59
Rank#148  Overall
#68  Relational DBMS
Websitewww.dolphindb.comgithub.com/­Softmotions/­ejdbwww.geomesa.orggithub.com/­heavyai/­heavydb
www.heavy.ai
us.tmaxsoft.com/­products/­tibero
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdwww.geomesa.org/­documentation/­stable/­user/­index.htmldocs.heavy.aitechnet.tmaxsoft.com/­upload/­download/­online/­tibero/­pver-20150504-000002/­index.html
DeveloperDolphinDB, IncSoftmotionsCCRi and othersHEAVY.AI, Inc.TmaxSoft
Initial release20182012201420162003
Current releasev2.00.4, January 20225.0.0, May 20245.10, January 20226, April 2015
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPLv2Open Source infoApache License 2.0Open Source infoApache Version 2; enterprise edition availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++CScalaC++ and CUDAC and Assembler
Server operating systemsLinux
Windows
server-lessLinuxAIX
HP-UX
Linux
Solaris
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes
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.nononoyes
Secondary indexesyesnoyesnoyes
SQL infoSupport of SQLSQL-like query languagenonoyesyes
APIs and other access methodsJDBC
JSON over HTTP
Kafka
MQTT (Message Queue Telemetry Transport)
ODBC
OPC DA
OPC UA
RabbitMQ
WebSocket
in-process shared libraryJDBC
ODBC
Thrift
Vega
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
Tibero CLI
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
All languages supporting JDBC/ODBC/Thrift
Python
C
C#
C++
Cobol
Java
Objective-C
Perl
PHP
Python
Ruby
Visual Basic
Server-side scripts infoStored proceduresyesnononoPersistent Stored Procedure (PSM)
Triggersnonononoyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnonedepending on storage layerSharding infoRound robinhorizontal partitioning infoby range, hash, list or composite
Replication methods infoMethods for redundantly storing data on multiple nodesyesnonedepending on storage layerMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on storage layerImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono infotypically not needed, however similar functionality with collection joins possiblenonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnononoACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesdepending on storage layeryesno infoplanned for next version
User concepts infoAccess controlAdministrators, Users, Groupsnoyes infodepending on the DBMS used for storagefine grained access rights according to SQL-standardfine grained access rights according to SQL-standard (SQL 92, SQL 99)

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More resources
DolphinDBEJDBGeoMesaHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022Tibero
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