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

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

Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonGreenplum  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRDFox  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 ServerHigh performance knowledge graph and semantic reasoning engineMySQL 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 DBMSGraph DBMS
RDF store
Relational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial DBMS
Relational DBMSDocument store
Spatial DBMS
Time Series DBMS
Vector 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
Score8.37
Rank#48  Overall
#30  Relational DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Score5.60
Rank#62  Overall
#35  Relational DBMS
Websitebangdb.comgreenplum.orgazure.microsoft.com/­services/­synapse-analyticswww.oxfordsemantic.techwww.singlestore.com
Technical documentationdocs.bangdb.comdocs.greenplum.orgdocs.microsoft.com/­azure/­synapse-analyticsdocs.oxfordsemantic.techdocs.singlestore.com
DeveloperSachin Sinha, BangDBPivotal Software Inc.MicrosoftOxford Semantic TechnologiesSingleStore Inc.
Initial release20122005201620172013
Current releaseBangDB 2.0, October 20217.0.0, September 20236.0, Septermber 20228.5, January 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoApache 2.0commercialcommercialcommercial infofree developer edition available
Cloud-based only infoOnly available as a cloud servicenonoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
SingleStoreDB Cloud: The world's fastest, modern cloud database for both operational (OLTP) and analytical (OLAP) workloads. Available instantly with multi-cloud and hybrid-cloud capabilities
Implementation languageC, C++C++C++C++, Go
Server operating systemsLinuxLinuxhostedLinux
macOS
Windows
Linux info64 bit version required
Data schemeschema-freeyesyesyes infoRDF schemasyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsyesyesyesyes
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 toolyesyesnoyes infobut no triggers and foreign keys
APIs and other access methodsProprietary protocol
RESTful HTTP API
JDBC
ODBC
ADO.NET
JDBC
ODBC
RESTful HTTP API
SPARQL 1.1
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
C
Java
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 replicationyesreplication via a shared file systemSource-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 in stand-alone mode, Eventual Consistency in replicated setupsImmediate 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 dataACIDACIDACIDACIDACID
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 wellyesyesyesyes 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 modenoyesyes
User concepts infoAccess controlyes (enterprise version only)fine grained access rights according to SQL-standardyesRoles, resources, and access typesFine grained access control via users, groups and roles
More information provided by the system vendor
BangdbGreenplumMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRDFoxSingleStore infoformer name was MemSQL
Specific characteristicsSingleStore offers a fully-managed , distributed, highly-scalable SQL database designed...
» more
Competitive advantagesSingleStore’s competitive advantages include: Easy and Simplified Architecture with...
» more
Typical application scenariosDriving Fast Analytics: SingleStore delivers the fastest and most scalable reporting...
» more
Key customersIEX Cloud : Improves Financial Data Distribution Speed 15x with Singlestore DB Comcast,...
» more
Market metricsCustomers in various industries worldwide including US and International Industry...
» more
Licensing and pricing modelsF ree Tier and Enterprise Edition
» more

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