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

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMaxDB infoformerly named Adabas-D  Xexclude from comparisonMemcached  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 robust and reliable RDBMS optimized to run all major SAP solutionsIn-memory key-value store, originally intended for cachingElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSKey-value storeRelational 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
Score2.26
Rank#114  Overall
#55  Relational DBMS
Score18.08
Rank#32  Overall
#4  Key-value stores
Score19.93
Rank#31  Overall
#19  Relational DBMS
Websitebangdb.commaxdb.sap.comwww.memcached.orgazure.microsoft.com/­services/­synapse-analytics
Technical documentationdocs.bangdb.commaxdb.sap.com/­documentationgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­azure/­synapse-analytics
DeveloperSachin Sinha, BangDBSAP, acquired from Software AG (Adabas-D) in 1997Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release2012198420032016
Current releaseBangDB 2.0, October 20217.9.10.12, February 20241.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3commercial infoLimited community edition freeOpen Source infoBSD licensecommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++CC++
Server operating systemsLinuxAIX
HP-UX
Linux
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
hosted
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesnoyes
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.nonono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesnoyes
SQL infoSupport of SQLSQL like support with command line toolyesnoyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
WebDAV
Proprietary protocolADO.NET
JDBC
ODBC
Supported programming languagesC
C#
C++
Java
Python
.Net
C#
Java
Perl
PHP
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
PHP
Server-side scripts infoStored proceduresnoyesnoTransact SQL
Triggersyes, Notifications (with Streaming only)yesnono
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmnonenoneSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationnone infoRepcached, a Memcached patch, provides this functionallityyes
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 Consistency
Foreign keys infoReferential integritynoyesnono 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 dataACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesnoyes
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)fine grained access rights according to SQL-standardyes infousing SASL (Simple Authentication and Security Layer) protocolyes

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More resources
BangdbMaxDB infoformerly named Adabas-DMemcachedMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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