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DBMS > Google Cloud Firestore vs. H2 vs. Hive vs. Teradata

System Properties Comparison Google Cloud Firestore vs. H2 vs. Hive vs. Teradata

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonH2  Xexclude from comparisonHive  Xexclude from comparisonTeradata  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.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 HadoopA hybrid cloud data analytics software platform (Teradata Vantage)
Primary database modelDocument storeRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsSpatial DBMSDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.36
Rank#53  Overall
#9  Document stores
Score8.33
Rank#46  Overall
#30  Relational DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Score44.87
Rank#22  Overall
#15  Relational DBMS
Websitefirebase.google.com/­products/­firestorewww.h2database.comhive.apache.orgwww.teradata.com
Technical documentationfirebase.google.com/­docs/­firestorewww.h2database.com/­html/­main.htmlcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.teradata.com
DeveloperGoogleThomas MuellerApache Software Foundation infoinitially developed by FacebookTeradata
Initial release2017200520121984
Current release2.2.220, July 20233.1.3, April 2022Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open SourcecommercialOpen Source infodual-licence (Mozilla public license, Eclipse public license)Open Source infoApache Version 2commercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJava
Server operating systemshostedAll OS with a Java VMAll OS with a Java VMhosted
Linux
Data schemeschema-freeyesyesyes
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.nonoyes
Secondary indexesyesyesyesyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash index
SQL infoSupport of SQLnoyesSQL-like DML and DDL statementsyes infoSQL 2016 + extensions
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
JDBC
ODBC
JDBC
ODBC
Thrift
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaC++
Java
PHP
Python
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud FunctionsJava Stored Procedures and User-Defined Functionsyes infouser defined functions and integration of map-reduceyes infoUDFs, stored procedures, table functions in parallel
Triggersyes, with Cloud Functionsyesnoyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneShardingSharding infoHashing
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 factorMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownoyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
Durability infoSupport for making data persistentyesyesyesyes
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 rolesfine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreH2HiveTeradata
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