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

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

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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 comparisonVoltDB  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 ServerDistributed In-Memory NewSQL RDBMS infoUsed for OLTP applications with a high frequency of relatively simple transactions, that can hold all their data in memory
Primary database modelDocument store
Graph DBMS
Time Series DBMS
Native XML DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.16
Rank#338  Overall
#47  Document stores
#32  Graph DBMS
#31  Time Series DBMS
Score1.84
Rank#135  Overall
#4  Native XML DBMS
Score19.93
Rank#31  Overall
#19  Relational DBMS
Score1.47
Rank#157  Overall
#73  Relational DBMS
Websitebangdb.combasex.orgazure.microsoft.com/­services/­synapse-analyticswww.voltdb.com
Technical documentationdocs.bangdb.comdocs.basex.orgdocs.microsoft.com/­azure/­synapse-analyticsdocs.voltdb.com
DeveloperSachin Sinha, BangDBBaseX GmbHMicrosoftVoltDB Inc.
Initial release2012200720162010
Current releaseBangDB 2.0, October 202111.0, June 202411.3, April 2022
License infoCommercial or Open SourceOpen Source infoBSD 3Open Source infoBSD licensecommercialOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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++Java, C++
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
OS X infofor development
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.nono
Secondary indexesyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLSQL like support with command line toolnoyesyes infoonly a subset of SQL 99
APIs and other access methodsProprietary protocol
RESTful HTTP API
Java API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
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
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnoyesTransact SQLJava
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
Replication methods infoMethods for redundantly storing data on multiple nodesselectable replication factor, Knob for CAP (enterprise version only)noneyesMulti-source replication
Source-replica replication
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 Consistency
Foreign keys infoReferential integritynonono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDmultiple readers, single writerACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayes, optimistic concurrency controlyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyes, implements WAL (Write ahead log) as wellyesyesyes infoSnapshots and command logging
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)Users with fine-grained authorization concept on 4 levelsyesUsers and roles with access to stored procedures

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More resources
BangdbBaseXMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseVoltDB
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