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DBMS > Bangdb vs. GraphDB vs. Microsoft Azure SQL Database vs. TimescaleDB

System Properties Comparison Bangdb vs. GraphDB vs. Microsoft Azure SQL Database vs. TimescaleDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGraphDB infoformer name: OWLIM  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTimescaleDB  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphEnterprise-ready RDF and graph database with efficient reasoning, cluster and external index synchronization support. It supports also SQL JDBC access to Knowledge Graph and GraphQL over SPARQL.Database as a Service offering with high compatibility to Microsoft SQL ServerA time series DBMS optimized for fast ingest and complex queries, based on PostgreSQL
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMS
RDF store
Relational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score2.76
Rank#99  Overall
#8  Graph DBMS
#4  RDF stores
Score72.95
Rank#16  Overall
#11  Relational DBMS
Score4.06
Rank#73  Overall
#5  Time Series DBMS
Websitebangdb.comwww.ontotext.comazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.timescale.com
Technical documentationdocs.bangdb.comgraphdb.ontotext.com/­documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.timescale.com
Social network pagesLinkedInTwitterYouTubeGitHubMedium
DeveloperSachin Sinha, BangDBOntotextMicrosoftTimescale
Initial release2012200020102017
Current releaseBangDB 2.0, October 202110.4, October 2023V122.15.0, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infoSome plugins of GraphDB Workbench are open sourcedcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++JavaC++C
Server operating systemsLinuxAll OS with a Java VM
Linux
OS X
Windows
hostedLinux
OS X
Windows
Data schemeschema-freeschema-free and OWL/RDFS-schema support; RDF shapesyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesnumerics, strings, booleans, arrays, JSON blobs, geospatial dimensions, currencies, binary data, other complex data types
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.nonoyesyes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes, supports real-time synchronization and indexing in SOLR/Elastic search/Lucene and GeoSPARQL geometry data indexesyesyes
SQL infoSupport of SQLSQL like support with command line toolstored SPARQL accessed as SQL using Apache Calcite through JDBC/ODBCyesyes infofull PostgreSQL SQL syntax
APIs and other access methodsProprietary protocol
RESTful HTTP API
GeoSPARQL
GraphQL
GraphQL Federation
Java API
JDBC
RDF4J API
RDFS
RIO
Sail API
Sesame REST HTTP Protocol
SPARQL 1.1
ADO.NET
JDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
C#
C++
Java
Python
.Net
C#
Clojure
Java
JavaScript (Node.js)
PHP
Python
Ruby
Scala
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C++
Delphi
Java infoJDBC
JavaScript
Perl
PHP
Python
R
Ruby
Scheme
Tcl
Server-side scripts infoStored proceduresnowell-defined plugin interfaces; JavaScript server-side extensibilityTransact SQLuser defined functions, PL/pgSQL, PL/Tcl, PL/Perl, PL/Python, PL/Java, PL/PHP, PL/R, PL/Ruby, PL/Scheme, PL/Unix shell
Triggersyes, Notifications (with Streaming only)noyesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneyes, across time and space (hash partitioning) attributes
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replicationyes, with always 3 replicas availableSource-replica replication with hot standby and reads on replicas info
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate Consistency, Eventual consistency (configurable in cluster mode per master or individual client request)Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoConstraint checkingyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
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 modeno
User concepts infoAccess controlyes (enterprise version only)Default Basic authentication through RDF4J client, or via Java when run with cURL, default token-based in the Workbench or via Rest API, optional access through OpenID or Kerberos single sign-on.fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard
More information provided by the system vendor
BangdbGraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL AzureTimescaleDB
Specific characteristicsOntotext GraphDB is a semantic database engine that allows organizations to build...
» more
Competitive advantagesGraphDB allows you to link text and data in big knowledge graphs. It’s easy to experiment...
» more
Typical application scenariosMetadata enrichment and management, linked data publishing, semantic inferencing...
» more
Key customers​ GraphDB provides a platform for building next-generation AI and Knowledge Graph...
» more
Market metricsGraphDB is the most utilized semantic triplestore for mission-critical enterprise...
» more
Licensing and pricing modelsGraphDB Free is a non-commercial version and is free to use. GraphDB Enterprise edition...
» more
News

GraphDB in Action: Using Semantics To Push The Envelope Of Software Engineering, Machine Learning, and E-Health Domains
11 September 2024

Accelerating End-to-end Knowledge Graph Solutions with Ontotext’s LinkedLifeData Inventory: The Case of Target Discovery
30 August 2024

Using Entity Linking to Turn Your Graph into a Knowledge Graph
23 August 2024

Considerations to Creating a Graph Center of Excellence: 5 Elements to Ensure Success
22 August 2024

The Power of Knowledge Graphs – A Chat with Perfect Memory and Ontotext
16 August 2024

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BangdbGraphDB infoformer name: OWLIMMicrosoft Azure SQL Database infoformerly SQL AzureTimescaleDB
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