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DBMS > DataFS vs. EJDB vs. HEAVY.AI vs. MarkLogic vs. Sequoiadb

System Properties Comparison DataFS vs. EJDB vs. HEAVY.AI vs. MarkLogic vs. Sequoiadb

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonEJDB  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparisonMarkLogic  Xexclude from comparisonSequoiadb  Xexclude from comparison
DescriptionAll data is stored inside objects which are linked by so-called link attributes. Objects consist of classes which can be extended and de-extended at runtime. Graphs can be defined with a struct.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 hardwareOperational and transactional Enterprise NoSQL databaseNewSQL database with distributed OLTP and SQL
Primary database modelObject oriented DBMSDocument storeRelational DBMSDocument store
Native XML DBMS
RDF store infoas of version 7
Search engine
Document store
Relational DBMS
Secondary database modelsGraph DBMSSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score1.77
Rank#141  Overall
#65  Relational DBMS
Score5.92
Rank#58  Overall
#10  Document stores
#1  Native XML DBMS
#1  RDF stores
#6  Search engines
Score0.45
Rank#261  Overall
#41  Document stores
#122  Relational DBMS
Websitenewdatabase.comgithub.com/­Softmotions/­ejdbgithub.com/­heavyai/­heavydb
www.heavy.ai
www.marklogic.comwww.sequoiadb.com
Technical documentationdev.mobiland.com/­Overview.xspgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.heavy.aidocs.marklogic.comwww.sequoiadb.com/­en/­index.php?m=Files&a=index
DeveloperMobiland AGSoftmotionsHEAVY.AI, Inc.MarkLogic Corp.Sequoiadb Ltd.
Initial release20182012201620012013
Current release1.1.263, October 20225.10, January 202211.0, December 2022
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache Version 2; enterprise edition availablecommercial inforestricted free version is availableOpen Source infoServer: AGPL; Client: Apache V2
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 languageCC++ and CUDAC++C++
Server operating systemsWindowsserver-lessLinuxLinux
OS X
Windows
Linux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)schema-freeyesschema-free infoSchema can be enforcedschema-free
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesyesyes infooid, date, timestamp, binary, regex
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.nonoyesno
Secondary indexesnononoyesyes
SQL infoSupport of SQLnonoyesyes infoSQL92SQL-like query language
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
in-process shared libraryJDBC
ODBC
Thrift
Vega
Java API
Node.js Client API
ODBC
proprietary Optic API infoProprietary Query API, introduced with version 9
RESTful HTTP API
SPARQL
WebDAV
XDBC
XQuery
XSLT
proprietary protocol using JSON
Supported programming languages.Net
C
C#
C++
VB.Net
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++
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
.Net
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnonoyes infovia XQuery or JavaScriptJavaScript
Triggersno, except callback-events from server when changes happenednonoyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnoneSharding infoRound robinShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneMulti-source replicationyesSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infovia Hadoop Connector, HDFS Direct Access and in-database MapReduce jobsno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID infocan act as a resource manager in an XA/JTA transactionDocument is locked during a transaction
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.noyesyes, with Range Indexesno
User concepts infoAccess controlWindows-Profilenofine grained access rights according to SQL-standardRole-based access control at the document and subdocument levelssimple password-based access control

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More resources
DataFSEJDBHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022MarkLogicSequoiadb
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