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

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

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Editorial information provided by DB-Engines
NameBangdb  Xexclude from comparisonBaseX  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 graphLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.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
Native XML DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument 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
Score1.56
Rank#141  Overall
#4  Native XML DBMS
Score18.98
Rank#31  Overall
#19  Relational DBMS
Score4.02
Rank#74  Overall
#39  Relational DBMS
Websitebangdb.combasex.orgazure.microsoft.com/­services/­synapse-analyticswww.singlestore.com
Technical documentationdocs.bangdb.comdocs.basex.orgdocs.microsoft.com/­azure/­synapse-analyticsdocs.singlestore.com
DeveloperSachin Sinha, BangDBBaseX GmbHMicrosoftSingleStore Inc.
Initial release2012200720162013
Current releaseBangDB 2.0, October 202111.2, August 20248.5, January 2024
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBSD licensecommercialcommercial 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++JavaC++C++, Go
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux info64 bit version required
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyes: string, long, double, int, geospatial, stream, eventsno infoXQuery supports typesyesyes
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, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoyesyes infobut no triggers and foreign keys
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
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
Actionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
C#
Java
PHP
Bash
C
C#
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresnoyesTransact SQLyes
Triggersyes, Notifications (with Streaming only)yes infovia eventsnono
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 infohash partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneyesSource-replica replication infostores two copies of each physical data partition on two separate nodes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono 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 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 dataACIDmultiple readers, single writerACIDACID
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 modeyes
User concepts infoAccess controlyes (enterprise version only)Users with fine-grained authorization concept on 4 levelsyesFine grained access control via users, groups and roles

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