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DBMS > Badger vs. BigchainDB vs. Firebase Realtime Database vs. Google Cloud Spanner vs. RDFox

System Properties Comparison Badger vs. BigchainDB vs. Firebase Realtime Database vs. Google Cloud Spanner vs. RDFox

Editorial information provided by DB-Engines
NameBadger  Xexclude from comparisonBigchainDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonRDFox  Xexclude from comparison
DescriptionAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.BigchainDB is scalable blockchain database offering decentralization, immutability and native assetsCloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.A horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.High performance knowledge graph and semantic reasoning engine
Primary database modelKey-value storeDocument storeDocument storeRelational DBMSGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.22
Rank#320  Overall
#47  Key-value stores
Score0.85
Rank#208  Overall
#35  Document stores
Score13.64
Rank#39  Overall
#6  Document stores
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score0.29
Rank#300  Overall
#24  Graph DBMS
#13  RDF stores
Websitegithub.com/­dgraph-io/­badgerwww.bigchaindb.comfirebase.google.com/­products/­realtime-databasecloud.google.com/­spannerwww.oxfordsemantic.tech
Technical documentationgodoc.org/­github.com/­dgraph-io/­badgerbigchaindb.readthedocs.io/­en/­latestfirebase.google.com/­docs/­databasecloud.google.com/­spanner/­docsdocs.oxfordsemantic.tech
DeveloperDGraph LabsGoogle infoacquired by Google 2014GoogleOxford Semantic Technologies
Initial release20172016201220172017
Current release6.0, Septermber 2022
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoAGPL v3commercialcommercialcommercial
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 languageGoPythonC++
Server operating systemsBSD
Linux
OS X
Solaris
Windows
LinuxhostedhostedLinux
macOS
Windows
Data schemeschema-freeschema-freeschema-freeyesyes infoRDF schemas
Typing infopredefined data types such as float or datenonoyesyesyes
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 indexesnoyesyes
SQL infoSupport of SQLnononoyes infoQuery statements complying to ANSI 2011no
APIs and other access methodsCLI Client
RESTful HTTP API
Android
iOS
JavaScript API
RESTful HTTP API
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesGoGo
Haskell
Java
JavaScript
Python
Ruby
Java
JavaScript
Objective-C
Go
Java
JavaScript (Node.js)
Python
C
Java
Server-side scripts infoStored proceduresnolimited functionality with using 'rules'no
TriggersnoCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnoneselectable replication factorMulti-source replication with 3 replicas for regional instances.replication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoyes infousing Google Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynononoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrity
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoyesACID infoStrict serializable isolationACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes,with MongoDB ord RethinkDByesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoyesyes, based on authentication and database rulesAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)Roles, resources, and access types

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More resources
BadgerBigchainDBFirebase Realtime DatabaseGoogle Cloud SpannerRDFox
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