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

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017A robust and reliable RDBMS optimized to run all major SAP solutionsElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Graph DBMSRelational DBMSRelational DBMS
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
Score2.02
Rank#125  Overall
#12  Graph DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitebangdb.comjanusgraph.orgmaxdb.sap.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.bangdb.comdocs.janusgraph.orgmaxdb.sap.com/­documentationdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSachin Sinha, BangDBLinux Foundation; originally developed as Titan by AureliusSAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release2012201719842016
Current releaseBangDB 2.0, October 20210.6.3, February 20237.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++JavaC++C++
Server operating systemsLinuxLinux
OS X
Unix
Windows
AIX
HP-UX
Linux
Solaris
Windows
hosted
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.nononono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoyesyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
Clojure
Java
Python
.Net
C#
Java
Perl
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesyesTransact SQL
Triggersyes, Notifications (with Streaming only)yesyesno
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 the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)noneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infovia Faunus, a graph analytics enginenono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoRelationships in graphsyesno infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
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 wellyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyesyes
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)User authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standardyes

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More resources
BangdbJanusGraph infosuccessor of TitanMaxDB infoformerly named Adabas-DMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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