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DBMS > ArcadeDB vs. Blazegraph vs. Dgraph vs. Google Cloud Firestore vs. HugeGraph

System Properties Comparison ArcadeDB vs. Blazegraph vs. Dgraph vs. Google Cloud Firestore vs. HugeGraph

Editorial information provided by DB-Engines
NameArcadeDB  Xexclude from comparisonBlazegraph  Xexclude from comparisonDgraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonHugeGraph  Xexclude from comparison
Amazon has acquired Blazegraph's domain and (probably) product. It is said that Amazon Neptune is based on Blazegraph.
DescriptionFast and scalable multi-model DBMS, originally forked from OrientDB but most of the code has been rewrittenHigh-performance graph database supporting Semantic Web (RDF/SPARQL) and Graph Database (tinkerpop3, blueprints, vertex-centric) APIs with scale-out and High Availability.Distributed and scalable native Graph DBMSCloud 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 modelDocument store
Graph DBMS
Key-value store
Time Series DBMS infoin next version
Graph DBMS
RDF store
Graph DBMSDocument storeGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.02
Rank#366  Overall
#50  Document stores
#38  Graph DBMS
#53  Key-value stores
#36  Time Series DBMS
Score0.75
Rank#219  Overall
#19  Graph DBMS
#8  RDF stores
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitearcadedb.comblazegraph.comdgraph.iofirebase.google.com/­products/­firestoregithub.com/­hugegraph
hugegraph.apache.org
Technical documentationdocs.arcadedb.comwiki.blazegraph.comdgraph.io/­docsfirebase.google.com/­docs/­firestorehugegraph.apache.org/­docs
DeveloperArcade DataBlazegraphDgraph Labs, Inc.GoogleBaidu
Initial release20212006201620172018
Current releaseSeptember 20212.1.5, March 20190.9
License infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoextended commercial license 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

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Implementation languageJavaJavaGoJava
Server operating systemsAll OS with a Java VMLinux
OS X
Windows
Linux
OS X
Windows
hostedLinux
macOS
Unix
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infoRDF literal typesyesyesyes
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 indexesyesyesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLSQL-like query language, no joinsSPARQL is used as query languagenonono
APIs and other access methodsJDBC
MongoDB API
OpenCypher
PostgreSQL wire protocol
Redis API
RESTful HTTP/JSON API
TinkerPop Gremlin
Java API
RESTful HTTP API
SPARQL QUERY
SPARQL UPDATE
TinkerPop 3
GraphQL query language
gRPC (using protocol buffers) API
HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesJava.Net
C
C++
Java
JavaScript
PHP
Python
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresyesnoyes, Firebase Rules & Cloud Functionsasynchronous Gremlin script jobs
Triggersnonoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodesShardingyesShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationyesSynchronous replication via RaftMulti-source replicationyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoUsing Cloud Dataflowvia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes inforelationship in graphsyes infoRelationships in Graphsnonoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDyesACID
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.yes
User concepts infoAccess controlSecurity and Authentication via Web Application Container (Tomcat, Jetty)no infoPlanned for future releasesAccess 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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More resources
ArcadeDBBlazegraphDgraphGoogle Cloud FirestoreHugeGraph
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