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DBMS > Badger vs. Bangdb vs. Microsoft Azure Synapse Analytics vs. openGauss vs. VoltDB

System Properties Comparison Badger vs. Bangdb vs. Microsoft Azure Synapse Analytics vs. openGauss vs. VoltDB

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBangdb  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonopenGauss  Xexclude from comparisonVoltDB  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 ServerAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiDistributed 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 modelKey-value storeDocument store
Graph DBMS
Time Series DBMS
Relational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Spatial 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
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score1.44
Rank#158  Overall
#73  Relational DBMS
Websitegithub.com/­dgraph-io/­badgerbangdb.comazure.microsoft.com/­services/­synapse-analyticsgitee.com/­opengauss
opengauss.org
www.voltdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.bangdb.comdocs.microsoft.com/­azure/­synapse-analyticsdocs.opengauss.org/­en
gitee.com/­opengauss/­docs
docs.voltdb.com
DeveloperDGraph LabsSachin Sinha, BangDBMicrosoftHuawei and openGauss communityVoltDB Inc.
Initial release20172012201620192010
Current releaseBangDB 2.0, October 20213.0, March 202211.3, April 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoBSD 3commercialOpen SourceOpen Source infoAGPL for Community Edition, commercial license for Enterprise, AWS, and Pro Editions
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.
Implementation languageGoC, C++C++C, C++, JavaJava, C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedLinuxLinux
OS X infofor development
Data schemeschema-freeschema-freeyesyesyes
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.nononono
Secondary indexesnoyes infosecondary, composite, nested, reverse, geospatialyesyesyes
SQL infoSupport of SQLnoSQL like support with command line toolyesANSI SQL 2011yes infoonly a subset of SQL 99
APIs and other access methodsProprietary protocol
RESTful HTTP API
ADO.NET
JDBC
ODBC
JDBC
ODBC
Java API
JDBC
RESTful HTTP/JSON API
Supported programming languagesGoC
C#
C++
Java
Python
C#
Java
PHP
C
C++
Java
C#
C++
Erlang infonot officially supported
Go
Java
JavaScript infoNode.js
PHP
Python
Server-side scripts infoStored proceduresnonoTransact SQLyesJava
Triggersnoyes, Notifications (with Streaming only)noyesno
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 partitioninghorizontal partitioning (by range, list and hash)Sharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factor, Knob for CAP (enterprise version only)yesSource-replica replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
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-constraintsyesno infoFOREIGN KEY constraints are not supported
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID infoTransactions are executed single-threaded within stored procedures
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyesyesyes infoData access is serialized by the server
Durability infoSupport for making data persistentyesyes, 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.noyes, run db with in-memory only modeno
User concepts infoAccess controlnoyes (enterprise version only)yesAccess rights for users, groups and roles according to SQL-standardUsers and roles with access to stored procedures

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More resources
BadgerBangdbMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseopenGaussVoltDB
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