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DBMS > Bangdb vs. FatDB vs. Microsoft Azure SQL Database vs. Stardog

System Properties Comparison Bangdb vs. FatDB vs. Microsoft Azure SQL Database vs. Stardog

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonFatDB  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonStardog  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.
DescriptionConverged and high performance database for device data, events, time series, document and graphA .NET NoSQL DBMS that can integrate with and extend SQL Server.Database as a Service offering with high compatibility to Microsoft SQL ServerEnterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualization
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Document store
Key-value store
Relational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Websitebangdb.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.stardog.com
Technical documentationdocs.bangdb.comdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.stardog.com
DeveloperSachin Sinha, BangDBFatCloudMicrosoftStardog-Union
Initial release2012201220102010
Current releaseBangDB 2.0, October 2021V127.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/students
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C#C++Java
Server operating systemsLinuxWindowshostedLinux
macOS
Windows
Data schemeschema-freeschema-freeyesschema-free and OWL/RDFS-schema support
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyes
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.noyesno infoImport/export of XML data possible
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes infosupports real-time indexing in full-text and geospatial
SQL infoSupport of SQLSQL like support with command line toolno infoVia inetgration in SQL ServeryesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsProprietary protocol
RESTful HTTP API
.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
ADO.NET
JDBC
ODBC
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
Supported programming languagesC
C#
C++
Java
Python
C#.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyes infovia applicationsTransact SQLuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, Notifications (with Streaming only)yes infovia applicationsyesyes infovia event handlers
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)selectable replication factoryes, with always 3 replicas availableMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynonoyesyes inforelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only modeyes
User concepts infoAccess controlyes (enterprise version only)no infoCan implement custom security layer via applicationsfine grained access rights according to SQL-standardAccess rights for users and roles

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More resources
BangdbFatDBMicrosoft Azure SQL Database infoformerly SQL AzureStardog
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