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DBMS > AgensGraph vs. Google Cloud Firestore vs. JanusGraph vs. Postgres-XL

System Properties Comparison AgensGraph vs. Google Cloud Firestore vs. JanusGraph vs. Postgres-XL

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Editorial information provided by DB-Engines
NameAgensGraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparisonPostgres-XL  Xexclude from comparison
DescriptionMulti-model database supporting relational and graph data models and built upon PostgreSQLCloud 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 Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017Based on PostgreSQL enhanced with MPP and write-scale-out cluster features
Primary database modelGraph DBMS
Relational DBMS
Document storeGraph DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.20
Rank#321  Overall
#27  Graph DBMS
#143  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score1.94
Rank#129  Overall
#12  Graph DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Websitebitnine.net/­agensgraphfirebase.google.com/­products/­firestorejanusgraph.orgwww.postgres-xl.org
Technical documentationbitnine.net/­documentationfirebase.google.com/­docs/­firestoredocs.janusgraph.orgwww.postgres-xl.org/­documentation
DeveloperBitnine Global Inc.GoogleLinux Foundation; originally developed as Titan by Aurelius
Initial release2016201720172014 infosince 2012, originally named StormDB
Current release2.1, December 20180.6.3, February 202310 R1, October 2018
License infoCommercial or Open SourceOpen Source infoApache License 2.0commercialOpen Source infoApache 2.0Open Source infoMozilla public license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJavaC
Server operating systemsLinux
OS X
Windows
hostedLinux
OS X
Unix
Windows
Linux
macOS
Data schemedepending on used data modelschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyes
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 infoXML type, but no XML query functionality
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyesnonoyes infodistributed, parallel query execution
APIs and other access methodsCypher Query Language
JDBC
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC
Java
JavaScript
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Clojure
Java
Python
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresyesyes, Firebase Rules & Cloud Functionsyesuser defined functions
Triggersnoyes, with Cloud Functionsyesyes
Partitioning methods infoMethods for storing different data on different nodesno, but can be realized using table inheritanceShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyes infovia Faunus, a graph analytics engineno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integrityyesnoyes infoRelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID infoMVCC
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nono
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.User authentification and security via Rexster Graph Serverfine grained access rights according to SQL-standard

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More resources
AgensGraphGoogle Cloud FirestoreJanusGraph infosuccessor of TitanPostgres-XL
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