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DBMS > DolphinDB vs. EJDB vs. HEAVY.AI vs. Hypertable vs. Kinetica

System Properties Comparison DolphinDB vs. EJDB vs. HEAVY.AI vs. Hypertable vs. Kinetica

Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonEJDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonHypertable  Xexclude from comparisonKinetica  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
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)A high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardwareAn open source BigTable implementation based on distributed file systems such as HadoopFully vectorized database across both GPUs and CPUs
Primary database modelTime Series DBMSDocument storeRelational DBMSWide column storeRelational DBMS
Secondary database modelsRelational DBMSSpatial DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score4.23
Rank#82  Overall
#6  Time Series DBMS
Score0.30
Rank#294  Overall
#44  Document stores
Score2.10
Rank#126  Overall
#61  Relational DBMS
Score0.69
Rank#234  Overall
#107  Relational DBMS
Websitewww.dolphindb.comgithub.com/­Softmotions/­ejdbgithub.com/­heavyai/­heavydb
www.heavy.ai
www.kinetica.com
Technical documentationdocs.dolphindb.cn/­en/­help200/­index.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.heavy.aidocs.kinetica.com
DeveloperDolphinDB, IncSoftmotionsHEAVY.AI, Inc.Hypertable Inc.Kinetica
Initial release20182012201620092012
Current releasev2.00.4, January 20225.10, January 20220.9.8.11, March 20167.1, August 2021
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPLv2Open Source infoApache Version 2; enterprise edition availableOpen Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++CC++ and CUDAC++C, C++
Server operating systemsLinux
Windows
server-lessLinuxLinux
OS X
Windows infoan inofficial Windows port is available
Linux
Data schemeyesschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesnoyes
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 indexesyesnonorestricted infoonly exact value or prefix value scansyes
SQL infoSupport of SQLSQL-like query languagenoyesnoSQL-like DML and DDL statements
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
C++ API
Thrift
JDBC
ODBC
RESTful HTTP API
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++
Java
Perl
PHP
Python
Ruby
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyesnononouser defined functions
Triggersnonononoyes infotriggers when inserted values for one or more columns fall within a specified range
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replicationselectable replication factor on file system levelSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
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 datayesnononono
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.yesyesyes infoGPU vRAM or System RAM
User concepts infoAccess controlAdministrators, Users, Groupsnofine grained access rights according to SQL-standardnoAccess rights for users and roles on table level

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More resources
DolphinDBEJDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022HypertableKinetica
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