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DBMS > Amazon Neptune vs. Bangdb vs. MaxDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Amazon Neptune vs. Bangdb vs. MaxDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonBangdb  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparison
DescriptionFast, reliable graph database built for the cloudConverged 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 Server
Primary database modelGraph DBMS
RDF store
Document store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.29
Rank#113  Overall
#9  Graph DBMS
#5  RDF stores
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
Websiteaws.amazon.com/­neptunebangdb.commaxdb.sap.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdocs.bangdb.commaxdb.sap.com/­documentationdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAmazonSachin Sinha, BangDBSAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release2017201219842016
Current releaseBangDB 2.0, October 20217.9.10.12, February 2024
License infoCommercial or Open SourcecommercialOpen Source infoBSD 3commercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++
Server operating systemshostedLinuxAIX
HP-UX
Linux
Solaris
Windows
hosted
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes: string, long, double, int, geospatial, stream, eventsyesyes
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 indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLnoSQL like support with command line toolyesyes
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
Proprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
JDBC
ODBC
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C
C#
C++
Java
Python
.Net
C#
Java
Perl
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresnonoyesTransact SQL
Triggersnoyes, Notifications (with Streaming only)yesno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.selectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnoyesno 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 datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restyes, implements WAL (Write ahead log) as wellyesyes
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 controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)yes (enterprise version only)fine grained access rights according to SQL-standardyes

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More resources
Amazon NeptuneBangdbMaxDB infoformerly named Adabas-DMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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