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DBMS > Bangdb vs. Google Cloud Spanner vs. MaxDB vs. Microsoft Azure Synapse Analytics

System Properties Comparison Bangdb vs. Google Cloud Spanner vs. MaxDB vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGoogle Cloud Spanner  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 horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.A 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
Relational 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
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitebangdb.comcloud.google.com/­spannermaxdb.sap.comazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.bangdb.comcloud.google.com/­spanner/­docsmaxdb.sap.com/­documentationdocs.microsoft.com/­azure/­synapse-analytics
DeveloperSachin Sinha, BangDBGoogleSAP, acquired from Software AG (Adabas-D) in 1997Microsoft
Initial release2012201719842016
Current releaseBangDB 2.0, October 20217.9.10.12, February 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercialcommercial infoLimited community edition freecommercial
Cloud-based only infoOnly available as a cloud servicenoyesnoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++C++
Server operating systemsLinuxhostedAIX
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 toolyes infoQuery statements complying to ANSI 2011yesyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
ADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
Go
Java
JavaScript (Node.js)
Python
.Net
C#
Java
Perl
PHP
Python
C#
Java
PHP
Server-side scripts infoStored proceduresnonoyesTransact SQL
Triggersyes, Notifications (with Streaming only)noyesno
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingnoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Multi-source replication with 3 replicas for regional instances.Source-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyesno 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 dataACIDACID infoStrict serializable isolationACIDACID
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 modenono
User concepts infoAccess controlyes (enterprise version only)Access rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardyes

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More resources
BangdbGoogle Cloud SpannerMaxDB infoformerly named Adabas-DMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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