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DBMS > 4D vs. AnzoGraph DB vs. Badger vs. Google Cloud Firestore vs. HugeGraph

System Properties Comparison 4D vs. AnzoGraph DB vs. Badger vs. Google Cloud Firestore vs. HugeGraph

Editorial information provided by DB-Engines
Name4D infoformer name: 4th Dimension  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonBadger  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionApplication development environment with integrated database management systemScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationAn embeddable, persistent, simple and fast Key-Value Store, written purely in Go.Cloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.A fast-speed and highly-scalable Graph DBMS
Primary database modelRelational DBMSGraph DBMS
RDF store
Key-value storeDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.47
Rank#110  Overall
#54  Relational DBMS
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score0.22
Rank#320  Overall
#47  Key-value stores
Score7.36
Rank#53  Overall
#9  Document stores
Score0.17
Rank#335  Overall
#31  Graph DBMS
Websitewww.4d.comcambridgesemantics.com/­anzographgithub.com/­dgraph-io/­badgerfirebase.google.com/­products/­firestoregithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdeveloper.4d.comdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmgodoc.org/­github.com/­dgraph-io/­badgerfirebase.google.com/­docs/­firestorehugegraph.apache.org/­docs
Developer4D, IncCambridge SemanticsDGraph LabsGoogleBaidu
Initial release19842018201720172018
Current releasev20, April 20232.3, January 20210.9
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache 2.0commercialOpen Source infoApache Version 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 languageGoJava
Server operating systemsOS X
Windows
LinuxBSD
Linux
OS X
Solaris
Windows
hostedLinux
macOS
Unix
Data schemeyesSchema-free and OWL/RDFS-schema supportschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesyes
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.yesnononono
Secondary indexesyesnonoyesyes infoalso supports composite index and range index
SQL infoSupport of SQLyes infoclose to SQL 92SPARQL and SPARQL* as primary query language. Cypher preview.nonono
APIs and other access methodsODBC
RESTful HTTP API infoby using 4D Mobile
SOAP webservices
Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languages4D proprietary IDE
PHP
C++
Java
Python
GoGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresyesuser defined functions and aggregatesnoyes, Firebase Rules & Cloud Functionsasynchronous Gremlin script jobs
Triggersyesnonoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication in MPP-ClusternoneMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoKerberos/HDFS data loadingnoUsing Cloud Dataflowvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusternoneImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyesno infonot needed in graphsnonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
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.noyesnoyes
User concepts infoAccess controlUsers and groupsAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Users, roles and permissions

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4D infoformer name: 4th DimensionAnzoGraph DBBadgerGoogle Cloud FirestoreHugeGraph
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