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DBMS > Google Cloud Firestore vs. Microsoft Access vs. Trino vs. XTDB

System Properties Comparison Google Cloud Firestore vs. Microsoft Access vs. Trino vs. XTDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonTrino  Xexclude from comparisonXTDB infoformerly named Crux  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.Microsoft Access combines a backend RDBMS (JET / ACE Engine) with a GUI frontend for data manipulation and queries. infoThe Access frontend is often used for accessing other datasources (DBMS, Excel, etc.)Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Key-value store
Spatial DBMS
Search engine
Time Series DBMS
Wide column store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score93.76
Rank#12  Overall
#8  Relational DBMS
Score5.28
Rank#61  Overall
#35  Relational DBMS
Score0.13
Rank#330  Overall
#45  Document stores
Websitefirebase.google.com/­products/­firestorewww.microsoft.com/­en-us/­microsoft-365/­accesstrino.iogithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationfirebase.google.com/­docs/­firestoredeveloper.microsoft.com/­en-us/­accesstrino.io/­broadcast
trino.io/­docs/­current
www.xtdb.com/­docs
DeveloperGoogleMicrosoftTrino Software FoundationJuxt Ltd.
Initial release201719922012 info2020 rebranded from PrestoSQL2019
Current release1902 (16.0.11328.20222), March 20191.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infoBundled with Microsoft OfficeOpen Source infoApache Version 2.0Open Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++JavaClojure
Server operating systemshostedWindows infoNot a real database server, but making use of DLLsLinux
macOS infofor devlopment
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyes, extensible-data-notation format
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.nonono
Secondary indexesyesyesdepending on connected data-sourceyes
SQL infoSupport of SQLnoyes infobut not compliant to any SQL standardyeslimited SQL, making use of Apache Calcite
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
JDBC
RESTful HTTP API
Trino CLI
HTTP REST
JDBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Go
Java
JavaScript (Node.js)
Python
R
Ruby
Clojure
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyes infosince Access 2010 using the ACE-engineyes, depending on connected data-sourceno
Triggersyes, with Cloud Functionsyes infosince Access 2010 using the ACE-enginenono
Partitioning methods infoMethods for storing different data on different nodesShardingnonedepending on connected data-sourcenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationnonedepending on connected data-sourceyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistencydepending on connected data-source
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACID infobut no files for transaction loggingdepending on connected data-sourceACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infobut no files for transaction loggingdepending on connected data-sourceyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
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.no infoa simple user-level security was built in till version Access 2003SQL standard access control
More information provided by the system vendor
Google Cloud FirestoreMicrosoft AccessTrinoXTDB infoformerly named Crux
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More resources
Google Cloud FirestoreMicrosoft AccessTrinoXTDB infoformerly named Crux
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