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DBMS > AnzoGraph DB vs. Google Cloud Firestore vs. H2 vs. Hive vs. OpenMLDB

System Properties Comparison AnzoGraph DB vs. Google Cloud Firestore vs. H2 vs. Hive vs. OpenMLDB

Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparisonOpenMLDB  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationCloud 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.Full-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 HadoopAn open-source machine learning database that provides a feature platform for training and inference
Primary database modelGraph DBMS
RDF store
Document storeRelational DBMSRelational DBMSTime Series DBMS
Secondary database modelsSpatial DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#303  Overall
#25  Graph DBMS
#14  RDF stores
Score7.36
Rank#53  Overall
#9  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score0.10
Rank#359  Overall
#36  Time Series DBMS
Websitecambridgesemantics.com/­anzographfirebase.google.com/­products/­firestorewww.h2database.comhive.apache.orgopenmldb.ai
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmfirebase.google.com/­docs/­firestorewww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homeopenmldb.ai/­docs/­zh/­main
DeveloperCambridge SemanticsGoogleThomas MuellerApache Software Foundation infoinitially developed by Facebook4 Paradigm Inc.
Initial release20182017200520122020
Current release2.3, January 20212.2.220, July 20233.1.3, April 20222024-2 February 2024
License infoCommercial or Open Sourcecommercial infofree trial version availablecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2Open Source
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++, Java, Scala
Server operating systemsLinuxhostedAll OS with a Java VMAll OS with a Java VMLinux
Data schemeSchema-free and OWL/RDFS-schema supportschema-freeyesyesFixed schema
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.nononono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.noyesSQL-like DML and DDL statementsyes
APIs and other access methodsApache 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
JDBC
ODBC
JDBC
ODBC
Thrift
JDBC
SQLAlchemy
Supported programming languagesC++
Java
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaC++
Java
PHP
Python
C++
Go
Java
Python
Scala
Server-side scripts infoStored proceduresuser defined functions and aggregatesyes, Firebase Rules & Cloud FunctionsJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reduceno
Triggersnoyes, with Cloud Functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingShardingnoneShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterMulti-source replicationWith clustering: 2 database servers on different computers operate on identical copies of a databaseselectable replication factorSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsKerberos/HDFS data loadingUsing Cloud Dataflownoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsnoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yesyes
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.yesyesyes
User concepts infoAccess controlAccess rights for users and rolesAccess 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 rolesfine grained access rights according to SQL-standard

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More resources
AnzoGraph DBGoogle Cloud FirestoreH2HiveOpenMLDB
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