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DBMS > Badger vs. Bangdb vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server

System Properties Comparison Badger vs. Bangdb vs. Microsoft Azure Synapse Analytics vs. SAP Advantage Database Server

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBangdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSAP Advantage Database Server infoformer name: Sybase ADS  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Converged and high performance database for device data, events, time series, document and graphElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerLow-cost RDBMS with access to ISAM and FoxPro data structures
Primary database modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.12
Rank#300  Overall
#43  Key-value stores
Score0.04
Rank#326  Overall
#43  Document stores
#33  Graph DBMS
#30  Time Series DBMS
Score17.98
Rank#39  Overall
#24  Relational DBMS
Score3.99
Rank#85  Overall
#46  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbangdb.comazure.microsoft.com/­services/­synapse-analyticswww.sap.com/­products/­advantage-database-server.html
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbangdb.com/­developerdocs.microsoft.com/­azure/­synapse-analytics
DeveloperDGraph LabsSachin Sinha, BangDBMicrosoftSybase, SAP
Initial release2017201220161993
Current releaseBangDB 2.0, October 2021
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD 3commercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinux
Windows
Data schemeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenoyes: 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.nononono
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyes
SQL infoSupport of SQLnoSQL like support with command line toolyesyes
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
.NET Client API
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGoC
C#
C++
Java
Python
C#
Java
PHP
Delphi
Perl
PHP
Server-side scripts infoStored proceduresnonoTransact SQLyes
Triggersnoyes, Notifications (with Streaming only)noyes
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding, horizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)yesMulti-source replication infoCONFLICT Trigger to resolve replication conflicts
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable 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-constraintsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyes
Durability infoSupport for making data persistentyesyes, 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.noyes, run db with in-memory only modeno infocaching of (temporary) tables can be configured
User concepts infoAccess controlnoyes (enterprise version only)yesfine grained access rights according to SQL-standard
More information provided by the system vendor
BadgerBangdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP Advantage Database Server infoformer name: Sybase ADS
Specific characteristicsBangDB is a converged NoSql database platform which natively integrated streaming,...
» more
Competitive advantagesConverged Platform to break silos for higher scale and performance BangDB is a novel...
» more
Typical application scenariosIOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more
Key customersCisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more
Market metricsBangDB is one of the fastest databases in the marke with over 2X performance over...
» more
Licensing and pricing modelsBangDB community and enterprise model. Details at https://bangdb.com/pricing/
» more

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BadgerBangdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSAP Advantage Database Server infoformer name: Sybase ADS
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