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DBMS > Bangdb vs. HugeGraph vs. Microsoft Azure SQL Database vs. TerminusDB

System Properties Comparison Bangdb vs. HugeGraph vs. Microsoft Azure SQL Database vs. TerminusDB

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonHugeGraph  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonTerminusDB infoformer name was DataChemist  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA fast-speed and highly-scalable Graph DBMSDatabase as a Service offering with high compatibility to Microsoft SQL ServerScalable Graph Database platform making enterprise data available by exploiting inferred entities and relationships
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Document store
RDF store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score0.17
Rank#335  Overall
#31  Graph DBMS
Score76.78
Rank#16  Overall
#11  Relational DBMS
Score0.23
Rank#316  Overall
#27  Graph DBMS
Websitebangdb.comgithub.com/­hugegraph
hugegraph.apache.org
azure.microsoft.com/­en-us/­products/­azure-sql/­databaseterminusdb.com
Technical documentationdocs.bangdb.comhugegraph.apache.org/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlterminusdb.github.io/­terminusdb/­#
DeveloperSachin Sinha, BangDBBaiduMicrosoftDataChemist Ltd.
Initial release2012201820102018
Current releaseBangDB 2.0, October 20210.9V1211.0.0, January 2023
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache Version 2.0commercialOpen Source infoGPL V3
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++Prolog, Rust
Server operating systemsLinuxLinux
macOS
Unix
hostedLinux
Data schemeschema-freeyesyesyes
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.nonoyesno
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyes infoalso supports composite index and range indexyes
SQL infoSupport of SQLSQL like support with command line toolnoyesSQL-like query language (WOQL)
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
ADO.NET
JDBC
ODBC
OWL
RESTful HTTP API
WOQL (Web Object Query Language)
Supported programming languagesC
C#
C++
Java
Python
Groovy
Java
Python
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
JavaScript
Python
Server-side scripts infoStored proceduresnoasynchronous Gremlin script jobsTransact SQLyes
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 algorithmyes infodepending on used storage backend, e.g. Cassandra and HBaseGraph Partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yes infodepending on used storage backend, e.g. Cassandra and HBaseyes, with always 3 replicas availableJournaling Streams
MapReduce infoOffers an API for user-defined Map/Reduce methodsnovia hugegraph-sparknono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoedges in graphyesyes
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 infoin-memory journaling
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)Users, roles and permissionsfine grained access rights according to SQL-standardRole-based access control

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More resources
BangdbHugeGraphMicrosoft Azure SQL Database infoformerly SQL AzureTerminusDB infoformer name was DataChemist
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