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DBMS > DolphinDB vs. EJDB vs. Hypertable

System Properties Comparison DolphinDB vs. EJDB vs. Hypertable

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Editorial information provided by DB-Engines
NameDolphinDB  Xexclude from comparisonEJDB  Xexclude from comparisonHypertable  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.
DescriptionTime Series DBMS for big data, integrated with a lightweight distributed computing framework and a vector programming languageEmbeddable document-store database library with JSON representation of queries (in MongoDB style)An open source BigTable implementation based on distributed file systems such as Hadoop
Primary database modelTime Series DBMSDocument storeWide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.24
Rank#157  Overall
#11  Time Series DBMS
Score0.22
Rank#286  Overall
#39  Document stores
Websitewww.dolphindb.comejdb.org
Technical documentationwww.dolphindb.com/­helpgithub.com/­Softmotions/­ejdb/­blob/­master/­README.md
DeveloperDolphinDB, IncSoftmotionsHypertable Inc.
Initial release201820122009
Current release0.9.8.11, March 2016
License infoCommercial or Open Sourcecommercial infofree community version availableOpen Source infoGPLv2Open Source infoGNU version 3. Commercial license available
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
OS X
Windows infoan inofficial Windows port is available
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idno
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.no
Secondary indexesnonorestricted infoonly exact value or prefix value scans
SQL infoSupport of SQLSQL-like query languagenono
APIs and other access methodsJDBC
ODBC
in-process shared libraryC++ API
Thrift
Supported programming languagesC#
C++
Java
JavaScript
Python
R
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyesnono
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnoyes
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 possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnono
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.yes
User concepts infoAccess controlAdministrators, Users, Groupsnono

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More resources
DolphinDBEJDBHypertable
Recent citations in the news

DolphinDB bags $15m and 14 more deal updates from Greater China
10 December 2021, DealStreetAsia

provided by Google News

TimescaleDB goes distributed; implements ‘Chunking’ over ‘Sharding’ for scaling-out
22 August 2019, Packt Hub

Timescale Cloud: Managed Time Series Database on Azure, Google Cloud and AWS
27 June 2019, InfoQ.com

Timescale Launches Industry's First Multi-Node Relational Database for Time-Series Data, Giving Organizations Unprecedented Scale
29 October 2020, Business Wire

provided by Google News



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