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DBMS > DataFS vs. Hazelcast vs. Interbase vs. Microsoft Azure Table Storage

System Properties Comparison DataFS vs. Hazelcast vs. Interbase vs. Microsoft Azure Table Storage

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Editorial information provided by DB-Engines
NameDataFS  Xexclude from comparisonHazelcast  Xexclude from comparisonInterbase  Xexclude from comparisonMicrosoft Azure Table Storage  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.A widely adopted in-memory data gridLight-weight proven RDBMS infooriginally from BorlandA Wide Column Store for rapid development using massive semi-structured datasets
Primary database modelObject oriented DBMSKey-value storeRelational DBMSWide column store
Secondary database modelsGraph DBMSDocument store infoJSON support with IMDG 3.12
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.09
Rank#360  Overall
#17  Object oriented DBMS
Score5.46
Rank#61  Overall
#7  Key-value stores
Score4.08
Rank#75  Overall
#41  Relational DBMS
Score4.04
Rank#77  Overall
#6  Wide column stores
Websitenewdatabase.comhazelcast.comwww.embarcadero.com/­products/­interbaseazure.microsoft.com/­en-us/­services/­storage/­tables
Technical documentationdev.mobiland.com/­Overview.xsphazelcast.org/­imdg/­docsdocs.embarcadero.com/­products/­interbase
DeveloperMobiland AGHazelcastEmbarcaderoMicrosoft
Initial release2018200819842012
Current release1.1.263, October 20225.3.6, November 2023InterBase 2020, December 2019
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; commercial licenses availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsWindowsAll OS with a Java VMAndroid
iOS
Linux
OS X
Windows
hosted
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
Typing infopredefined data types such as float or dateyesyesyesyes
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.noyes infothe object must implement a serialization strategyno infoexport as XML data possibleno
Secondary indexesnoyesyesno
SQL infoSupport of SQLnoSQL-like query languageyesno
APIs and other access methods.NET Client API
Proprietary client DLL
WinRT client
JCache
JPA
Memcached protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
RESTful HTTP API
Supported programming languages.Net
C
C#
C++
VB.Net
.Net
C#
C++
Clojure
Go
Java
JavaScript (Node.js)
Python
Scala
.Net
C
C++
Delphi
Java
Object Pascal
PHP
Ruby
.Net
C#
C++
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoEvent Listeners, Executor Servicesyes infoInterbase procedure and trigger languageno
Triggersno, except callback-events from server when changes happenedyes infoEventsyesno
Partitioning methods infoMethods for storing different data on different nodesProprietary Sharding systemShardingnoneSharding infoImplicit feature of the cloud service
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoReplicated MapInterbase Change Viewsyes infoimplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency selectable by user infoRaft Consensus AlgorithmImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDone or two-phase-commit; repeatable reads; read commitedACIDoptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMultiversion concurreny controlyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesyesno
User concepts infoAccess controlWindows-ProfileRole-based access controlfine grained access rights according to SQL-standardAccess rights based on private key authentication or shared access signatures

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More resources
DataFSHazelcastInterbaseMicrosoft Azure Table Storage
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