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DBMS > DataFS vs. Derby vs. EJDB vs. Microsoft Azure Table Storage vs. TigerGraph

System Properties Comparison DataFS vs. Derby vs. EJDB vs. Microsoft Azure Table Storage vs. TigerGraph

Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonEJDB  Xexclude from comparisonMicrosoft Azure Table Storage  Xexclude from comparisonTigerGraph  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.Full-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Embeddable document-store database library with JSON representation of queries (in MongoDB style)A Wide Column Store for rapid development using massive semi-structured datasetsA complete, distributed, parallel graph computing platform supporting web-scale data analytics in real-time
Primary database modelObject oriented DBMSRelational DBMSDocument storeWide column storeGraph DBMS
Secondary database modelsGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#354  Overall
#15  Object oriented DBMS
Score4.71
Rank#69  Overall
#37  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score4.48
Rank#75  Overall
#6  Wide column stores
Score1.83
Rank#139  Overall
#13  Graph DBMS
Websitenewdatabase.comdb.apache.org/­derbygithub.com/­Softmotions/­ejdbazure.microsoft.com/­en-us/­services/­storage/­tableswww.tigergraph.com
Technical documentationdev.mobiland.com/­Overview.xspdb.apache.org/­derby/­manuals/­index.htmlgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mddocs.tigergraph.com
DeveloperMobiland AGApache Software FoundationSoftmotionsMicrosoft
Initial release20181997201220122017
Current release1.1.263, October 202210.17.1.0, November 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache version 2Open Source infoGPLv2commercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaCC++
Server operating systemsWindowsAll OS with a Java VMserver-lesshostedLinux
Data schemeClasses, Structs, and Lists are written in proprietary DataTypeDefinitionLanguage (.dtdl) and Objects consisting of those are written in proprietary DataAccessDefinitionLanguage (.dadl)yesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infostring, integer, double, bool, date, object_idyesyes
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.noyesnono
Secondary indexesnoyesnono
SQL infoSupport of SQLnoyesnonoSQL-like query language (GSQL)
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JDBCin-process shared libraryRESTful HTTP APIGSQL (TigerGraph Query Language)
Kafka
RESTful HTTP/JSON API
Supported programming languages.Net
C
C#
C++
VB.Net
JavaActionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
C++
Java
Server-side scripts infoStored proceduresJava Stored Proceduresnonoyes
Triggersno, except callback-events from server when changes happenedyesnonono
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemnonenoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationnoneyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesyesno infotypically not needed, however similar functionality with collection joins possiblenoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnooptimistic lockingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoRead/Write Lockingyesyes
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.noyesnono
User concepts infoAccess controlWindows-Profilefine grained access rights according to SQL-standardnoAccess rights based on private key authentication or shared access signaturesRole-based access control

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More resources
DataFSDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBEJDBMicrosoft Azure Table StorageTigerGraph
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