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DBMS > Bangdb vs. Greenplum vs. Microsoft SQL Server

System Properties Comparison Bangdb vs. Greenplum vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
DescriptionConverged and high performance database for device data, events, time series, document and graphAnalytic Database platform built on PostgreSQL. Full name is Pivotal Greenplum Database infoA logical database in Greenplum is an array of individual PostgreSQL databases working together to present a single database image.Microsofts flagship relational DBMS
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Document store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.33
Rank#336  Overall
#44  Document stores
#31  Graph DBMS
#28  Time Series DBMS
Score10.64
Rank#48  Overall
#30  Relational DBMS
Score930.06
Rank#3  Overall
#3  Relational DBMS
Websitebangdb.comgreenplum.orgwww.microsoft.com/­en-us/­sql-server
Technical documentationbangdb.com/­developerdocs.greenplum.orgdocs.microsoft.com/­en-US/­sql/­sql-server
DeveloperSachin Sinha, BangDBPivotal Software Inc.Microsoft
Initial release201220051989
Current releaseBangDB 2.0, October 20216.7.1, April 2020SQL Server 2022, November 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++C++
Server operating systemsLinuxLinuxLinux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: 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.noyes infosince Version 4.2yes
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLSQL like support with command line toolyesyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesC
C#
C++
Java
Python
C
Java
Perl
Python
R
C#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnoyesTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyes, Notifications (with Streaming only)yesyes
Partitioning methods infoMethods for storing different data on different nodesSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmShardingtables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyes, but depending on the SQL-Server Edition
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyes, 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 modenoyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BangdbGreenplumMicrosoft SQL Server
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