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

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonMemcached  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonNSDb  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphIn-memory key-value store, originally intended for cachingElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Key-value storeRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitebangdb.comwww.memcached.orgazure.microsoft.com/­services/­synapse-analyticsnsdb.io
Technical documentationdocs.bangdb.comgithub.com/­memcached/­memcached/­wikidocs.microsoft.com/­azure/­synapse-analyticsnsdb.io/­Architecture
DeveloperSachin Sinha, BangDBDanga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournalMicrosoft
Initial release2012200320162017
Current releaseBangDB 2.0, October 20211.6.27, May 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBSD licensecommercialOpen Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++CC++Java, Scala
Server operating systemsLinuxFreeBSD
Linux
OS X
Unix
Windows
hostedLinux
macOS
Data schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsnoyesyes: int, bigint, decimal, string
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, geospatialnoyesall fields are automatically indexed
SQL infoSupport of SQLSQL like support with command line toolnoyesSQL-like query language
APIs and other access methodsProprietary protocol
RESTful HTTP API
Proprietary protocolADO.NET
JDBC
ODBC
gRPC
HTTP REST
WebSocket
Supported programming languagesC
C#
C++
Java
Python
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
C#
Java
PHP
Java
Scala
Server-side scripts infoStored proceduresnonoTransact SQLno
Triggersyes, Notifications (with Streaming only)nono
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 partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)none 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 ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellnoyesUsing Apache Lucene
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 mode
User concepts infoAccess controlyes (enterprise version only)yes infousing SASL (Simple Authentication and Security Layer) protocolyes

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More resources
BangdbMemcachedMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseNSDb
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