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DBMS > Bangdb vs. Greenplum vs. Microsoft Azure Synapse Analytics vs. SingleStore

System Properties Comparison Bangdb vs. Greenplum vs. Microsoft Azure Synapse Analytics vs. SingleStore

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSingleStore infoformer name was MemSQL  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.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerMySQL wire-compliant distributed RDBMS that combines an in-memory row-oriented and a disc-based column-oriented storage with patented universal storage to handle transactional and analytical workloads in one single table type
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Document store
Spatial DBMS
Time Series DBMS
Vector DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.07
Rank#346  Overall
#47  Document stores
#35  Graph DBMS
#32  Time Series DBMS
Score7.71
Rank#46  Overall
#29  Relational DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitebangdb.comgreenplum.orgazure.microsoft.com/­services/­synapse-analyticswww.singlestore.com
Technical documentationdocs.bangdb.comdocs.greenplum.orgdocs.microsoft.com/­azure/­synapse-analyticsdocs.singlestore.com
DeveloperSachin Sinha, BangDBPivotal Software Inc.MicrosoftSingleStore Inc.
Initial release2012200520162013
Current releaseBangDB 2.0, October 20217.0.0, September 20238.5, January 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, C++C++C++, Go
Server operating systemsLinuxLinuxhostedLinux info64 bit version required
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.noyes infosince Version 4.2nono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolyesyesyes infobut no triggers and foreign keys
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
Cluster Management API infoas HTTP Rest and CLI
HTTP API
JDBC
MongoDB API
ODBC
Supported programming languagesC
C#
C++
Java
Python
C
Java
Perl
Python
R
C#
Java
PHP
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesTransact SQLyes
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 algorithmShardingSharding, horizontal partitioningSharding infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)Source-replica replicationyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesnono infocan define user-defined aggregate functions for map-reduce-style calculations
Consistency concepts infoMethods to ensure consistency in a distributed systemTunable consistency, set CAP knob accordinglyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesno 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 dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes, multi-version concurrency control (MVCC)
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infoAll updates are persistent, including those to disk-based columnstores and memory-based row stores. Transaction commits are supported via write-ahead log.
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-standardyesFine grained access control via users, groups and roles

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More resources
BangdbGreenplumMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSingleStore infoformer name was MemSQL
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