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DBMS > Bangdb vs. MaxDB vs. Microsoft Azure Synapse Analytics vs. Stardog

System Properties Comparison Bangdb vs. MaxDB vs. Microsoft Azure Synapse Analytics vs. Stardog

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonStardog  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA robust and reliable RDBMS optimized to run all major SAP solutionsElastic, large scale data warehouse service leveraging the broad eco-system of 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
Relational DBMSRelational DBMSGraph DBMS
RDF store
Secondary database modelsSpatial DBMS
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
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score2.07
Rank#122  Overall
#11  Graph DBMS
#6  RDF stores
Websitebangdb.commaxdb.sap.comazure.microsoft.com/­services/­synapse-analyticswww.stardog.com
Technical documentationdocs.bangdb.commaxdb.sap.com/­documentationdocs.microsoft.com/­azure/­synapse-analyticsdocs.stardog.com
DeveloperSachin Sinha, BangDBSAP, acquired from Software AG (Adabas-D) in 1997MicrosoftStardog-Union
Initial release2012198420162010
Current releaseBangDB 2.0, October 20217.9.10.12, February 20247.3.0, May 2020
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infoLimited community edition freecommercialcommercial 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 systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
hostedLinux
macOS
Windows
Data schemeschema-freeyesyesschema-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.nononono 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 toolyesyesYes, compatible with all major SQL variants through dedicated BI/SQL Server
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
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
.Net
C#
Java
Perl
PHP
Python
C#
Java
PHP
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
Server-side scripts infoStored proceduresnoyesTransact SQLuser defined functions and aggregates, HTTP Server extensions in Java
Triggersyes, Notifications (with Streaming only)yesnoyes 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 algorithmnoneSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyesMulti-source replication in HA-Cluster
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 ConsistencyImmediate ConsistencyImmediate Consistency in HA-Cluster
Foreign keys infoReferential integritynoyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsyes inforelationships in graphs
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 modenoyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardyesAccess rights for users and roles

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More resources
BangdbMaxDB infoformerly named Adabas-DMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseStardog
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