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DBMS > Google Cloud Firestore vs. Machbase Neo vs. Microsoft Access vs. Postgres-XL vs. XTDB

System Properties Comparison Google Cloud Firestore vs. Machbase Neo vs. Microsoft Access vs. Postgres-XL vs. XTDB

Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonPostgres-XL  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.TimeSeries DBMS for AIoT and BigDataMicrosoft 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.)Based on PostgreSQL enhanced with MPP and write-scale-out cluster featuresA general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelDocument storeTime Series DBMSRelational DBMSRelational DBMSDocument store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.12
Rank#339  Overall
#30  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.49
Rank#256  Overall
#117  Relational DBMS
Score0.11
Rank#343  Overall
#46  Document stores
Websitefirebase.google.com/­products/­firestoremachbase.comwww.microsoft.com/­en-us/­microsoft-365/­accesswww.postgres-xl.orggithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationfirebase.google.com/­docs/­firestoremachbase.com/­dbmsdeveloper.microsoft.com/­en-us/­accesswww.postgres-xl.org/­documentationwww.xtdb.com/­docs
DeveloperGoogleMachbaseMicrosoftJuxt Ltd.
Initial release2017201319922014 infosince 2012, originally named StormDB2019
Current releaseV8.0, August 20231902 (16.0.11328.20222), March 201910 R1, October 20181.19, September 2021
License infoCommercial or Open Sourcecommercialcommercial infofree test version availablecommercial infoBundled with Microsoft OfficeOpen Source infoMozilla public licenseOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCC++CClojure
Server operating systemshostedLinux
macOS
Windows
Windows infoNot a real database server, but making use of DLLsLinux
macOS
All OS with a Java 8 (and higher) VM
Linux
Data schemeschema-freeyesyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesyes, 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.nonoyes infoXML type, but no XML query functionalityno
Secondary indexesyesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyes infobut not compliant to any SQL standardyes infodistributed, parallel query executionlimited SQL, making use of Apache Calcite
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
ADO.NET
DAO
ODBC
OLE DB
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP REST
JDBC
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
.Net
C
C++
Delphi
Erlang
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Clojure
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsnoyes infosince Access 2010 using the ACE-engineuser defined functionsno
Triggersyes, with Cloud Functionsnoyes infosince Access 2010 using the ACE-engineyesno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationselectable replication factornoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infobut no files for transaction loggingACID infoMVCCACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesnoyes infobut no files for transaction loggingyesyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup tableno
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.simple password-based access controlno infoa simple user-level security was built in till version Access 2003fine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreMachbase Neo infoFormer name was InfinifluxMicrosoft AccessPostgres-XLXTDB infoformerly named Crux
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