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DBMS > Badger vs. Bangdb vs. Blueflood vs. Microsoft Azure Synapse Analytics vs. Spark SQL

System Properties Comparison Badger vs. Bangdb vs. Blueflood vs. Microsoft Azure Synapse Analytics vs. Spark SQL

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBangdb  Xexclude from comparisonBlueflood  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonSpark SQL  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 graphScalable TimeSeries DBMS based on CassandraElastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Time Series DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.08
Rank#347  Overall
#47  Document stores
#34  Graph DBMS
#31  Time Series DBMS
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbangdb.comblueflood.ioazure.microsoft.com/­services/­synapse-analyticsspark.apache.org/­sql
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comgithub.com/­rax-maas/­blueflood/­wikidocs.microsoft.com/­azure/­synapse-analyticsspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperDGraph LabsSachin Sinha, BangDBRackspaceMicrosoftApache Software Foundation
Initial release20172012201320162014
Current releaseBangDB 2.0, October 20213.5.0 ( 2.13), September 2023
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD 3Open Source infoApache 2.0commercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC, C++JavaC++Scala
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxLinux
OS X
hostedLinux
OS X
Windows
Data schemeschema-freeschema-freepredefined schemeyesyes
Typing infopredefined data types such as float or datenoyes: 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.nonononono
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialnoyesno
SQL infoSupport of SQLnoSQL like support with command line toolnoyesSQL-like DML and DDL statements
APIs and other access methodsProprietary protocol
RESTful HTTP API
HTTP RESTADO.NET
JDBC
ODBC
JDBC
ODBC
Supported programming languagesGoC
C#
C++
Java
Python
C#
Java
PHP
Java
Python
R
Scala
Server-side scripts infoStored proceduresnononoTransact SQLno
Triggersnoyes, Notifications (with Streaming only)nonono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding infobased on CassandraSharding, horizontal partitioningyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor infobased on Cassandrayesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneTunable consistency, set CAP knob accordinglyEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate Consistency
Foreign keys infoReferential integritynononono 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 datanoACIDnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyesyesyes
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 modenono
User concepts infoAccess controlnoyes (enterprise version only)noyesno

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More resources
BadgerBangdbBluefloodMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseSpark SQL
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