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DBMS > Badger vs. Microsoft Azure Synapse Analytics vs. RethinkDB vs. Teradata Aster

System Properties Comparison Badger vs. Microsoft Azure Synapse Analytics vs. RethinkDB vs. Teradata Aster

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Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  Xexclude from comparisonRethinkDB  Xexclude from comparisonTeradata Aster  Xexclude from comparison
Teradata Aster has been integrated into other Teradata systems and therefore will be removed from the DB-Engines ranking.
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Elastic, large scale data warehouse service leveraging the broad eco-system of SQL ServerDBMS for the Web with a mechanism to push updated query results to applications in realtime.Platform for big data analytics on multistructured data sources and types
Primary database modelKey-value storeRelational DBMSDocument storeRelational 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
Score20.56
Rank#31  Overall
#19  Relational DBMS
Score2.74
Rank#105  Overall
#19  Document stores
Websitegithub.com/­dgraph-io/­badgerazure.microsoft.com/­services/­synapse-analyticsrethinkdb.com
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerdocs.microsoft.com/­azure/­synapse-analyticsrethinkdb.com/­docs
DeveloperDGraph LabsMicrosoftThe Linux Foundation infosince July 2017Teradata
Initial release2017201620092005
Current release2.4.1, August 2020
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++C++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
hostedLinux
OS X
Windows
Linux
Data schemeschema-freeyesschema-freeFlexible Schema (defined schema, partial schema, schema free) infodefined schema within the relational store; partial schema or schema free in the Aster File Store
Typing infopredefined data types such as float or datenoyesyes infostring, binary, float, bool, date, geometryyes
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.nononoyes infoin Aster File Store
Secondary indexesnoyesyesyes
SQL infoSupport of SQLnoyesnoyes
APIs and other access methodsADO.NET
JDBC
ODBC
ADO.NET
JDBC
ODBC
OLE DB
Supported programming languagesGoC#
Java
PHP
C infocommunity-supported driver
C# infocommunity-supported driver
C++ infocommunity-supported driver
Clojure infocommunity-supported driver
Dart infocommunity-supported driver
Erlang infocommunity-supported driver
Go infocommunity-supported driver
Haskell infocommunity-supported driver
Java infoofficial driver
JavaScript (Node.js) infoofficial driver
Lisp infocommunity-supported driver
Lua infocommunity-supported driver
Objective-C infocommunity-supported driver
Perl infocommunity-supported driver
PHP infocommunity-supported driver
Python infoofficial driver
Ruby infoofficial driver
Scala infocommunity-supported driver
C
C#
C++
Java
Python
R
Server-side scripts infoStored proceduresnoTransact SQLR packages
TriggersnonoClient-side triggers through changefeedsno
Partitioning methods infoMethods for storing different data on different nodesnoneSharding, horizontal partitioningSharding inforange basedSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneyesSource-replica replicationyes infoDimension tables are replicated across all nodes in the cluster. The number of replicas for the file store can be configured.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyesyes infoSQL Map-Reduce Framework
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate ConsistencyImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraintsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDAtomic single-document operationsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infoMVCC basedyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoyesyes infousers and table-level permissionsfine grained access rights according to SQL-standard

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More resources
BadgerMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data WarehouseRethinkDBTeradata Aster
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