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DBMS > Badger vs. BoltDB vs. Google Cloud Datastore vs. Microsoft Azure SQL Database vs. Valentina Server

System Properties Comparison Badger vs. BoltDB vs. Google Cloud Datastore vs. Microsoft Azure SQL Database vs. Valentina Server

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBoltDB  Xexclude from comparisonGoogle Cloud Datastore  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonValentina Server  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.An embedded key-value store for Go.Automatically scaling NoSQL Database as a Service (DBaaS) on the Google Cloud PlatformDatabase as a Service offering with high compatibility to Microsoft SQL ServerObject-relational database and reports server
Primary database modelKey-value storeKey-value storeDocument storeRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.14
Rank#331  Overall
#49  Key-value stores
Score0.74
Rank#220  Overall
#31  Key-value stores
Score4.47
Rank#76  Overall
#12  Document stores
Score77.99
Rank#16  Overall
#11  Relational DBMS
Score0.17
Rank#327  Overall
#145  Relational DBMS
Websitegithub.com/­dgraph-io/­badgergithub.com/­boltdb/­boltcloud.google.com/­datastoreazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.valentina-db.net
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgercloud.google.com/­datastore/­docsdocs.microsoft.com/­en-us/­azure/­azure-sqlvalentina-db.com/­docs/­dokuwiki/­v5/­doku.php
DeveloperDGraph LabsGoogleMicrosoftParadigma Software
Initial release20172013200820101999
Current releaseV125.7.5
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT Licensecommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoGoC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
BSD
Linux
OS X
Solaris
Windows
hostedhostedLinux
OS X
Windows
Data schemeschema-freeschema-freeschema-freeyesyes
Typing infopredefined data types such as float or datenonoyes, details hereyesyes
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
Secondary indexesnonoyesyesyes
SQL infoSupport of SQLnonoSQL-like query language (GQL)yesyes
APIs and other access methodsgRPC (using protocol buffers) API
RESTful HTTP/JSON API
ADO.NET
JDBC
ODBC
ODBC
Supported programming languagesGoGo.Net
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
.Net
C
C#
C++
Objective-C
PHP
Ruby
Visual Basic
Visual Basic.NET
Server-side scripts infoStored proceduresnonousing Google App EngineTransact SQLyes
TriggersnonoCallbacks using the Google Apps Engineyesyes
Partitioning methods infoMethods for storing different data on different nodesnonenoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnonenoneMulti-source replication using Paxosyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoyes infousing Google Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemnonenoneImmediate Consistency or Eventual Consistency depending on type of query and configuration infoStrong Consistency is default for entity lookups and queries within an Entity Group (but can instead be made eventually consistent). Other queries are always eventual consistent.Immediate Consistency
Foreign keys infoReferential integritynonoyes infovia ReferenceProperties or Ancestor pathsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infoSerializable Isolation within Transactions, Read Committed outside of TransactionsACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nononoyes
User concepts infoAccess controlnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standardfine grained access rights according to SQL-standard

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More resources
BadgerBoltDBGoogle Cloud DatastoreMicrosoft Azure SQL Database infoformerly SQL AzureValentina Server
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