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DBMS > Google Cloud Firestore vs. Graph Engine vs. H2 vs. Hive vs. JanusGraph

System Properties Comparison Google Cloud Firestore vs. Graph Engine vs. H2 vs. Hive vs. JanusGraph

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonGraph Engine infoformer name: Trinity  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparisonJanusGraph infosuccessor of Titan  Xexclude from comparison
DescriptionCloud 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 distributed in-memory data processing engine, underpinned by a strongly-typed RAM store and a general distributed computation engineFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.data warehouse software for querying and managing large distributed datasets, built on HadoopA Graph DBMS optimized for distributed clusters infoIt was forked from the latest code base of Titan in January 2017
Primary database modelDocument storeGraph DBMS
Key-value store
Relational DBMSRelational DBMSGraph DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.61
Rank#240  Overall
#21  Graph DBMS
#35  Key-value stores
Score8.13
Rank#49  Overall
#31  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score1.94
Rank#129  Overall
#12  Graph DBMS
Websitefirebase.google.com/­products/­firestorewww.graphengine.iowww.h2database.comhive.apache.orgjanusgraph.org
Technical documentationfirebase.google.com/­docs/­firestorewww.graphengine.io/­docs/­manualwww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.janusgraph.org
DeveloperGoogleMicrosoftThomas MuellerApache Software Foundation infoinitially developed by FacebookLinux Foundation; originally developed as Titan by Aurelius
Initial release20172010200520122017
Current release2.2.220, July 20233.1.3, April 20220.6.3, February 2023
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2Open Source infoApache 2.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation language.NET and CJavaJavaJava
Server operating systemshosted.NETAll OS with a Java VMAll OS with a Java VMLinux
OS X
Unix
Windows
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnonoyesSQL-like DML and DDL statementsno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
JDBC
ODBC
Thrift
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
F#
Visual Basic
JavaC++
Java
PHP
Python
Clojure
Java
Python
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsyesJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reduceyes
Triggersyes, with Cloud Functionsnoyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardinghorizontal partitioningnoneShardingyes infodepending on the used storage backend (e.g. Cassandra, HBase, BerkeleyDB)
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownoyes infoquery execution via MapReduceyes infovia Faunus, a graph analytics engine
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Foreign keys infoReferential integritynonoyesnoyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesoptional: either by committing a write-ahead log (WAL) to the local persistent storage or by dumping the memory to a persistent storageyesyesyes infoSupports various storage backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcast
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyes
User concepts infoAccess controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.fine grained access rights according to SQL-standardAccess rights for users, groups and rolesUser authentification and security via Rexster Graph Server

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More resources
Google Cloud FirestoreGraph Engine infoformer name: TrinityH2HiveJanusGraph infosuccessor of Titan
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