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DBMS > Google Cloud Firestore vs. IBM Db2 Event Store vs. Microsoft Access vs. searchxml

System Properties Comparison Google Cloud Firestore vs. IBM Db2 Event Store vs. Microsoft Access vs. searchxml

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonsearchxml  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.Distributed Event Store optimized for Internet of Things use casesMicrosoft 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.)DBMS for structured and unstructured content wrapped with an application server
Primary database modelDocument storeEvent Store
Time Series DBMS
Relational DBMSNative XML DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score104.92
Rank#11  Overall
#8  Relational DBMS
Score0.00
Rank#383  Overall
#7  Native XML DBMS
#25  Search engines
Websitefirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storewww.microsoft.com/­en-us/­microsoft-365/­accesswww.searchxml.net/­category/­products
Technical documentationfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-storedeveloper.microsoft.com/­en-us/­accesswww.searchxml.net/­support/­handouts
DeveloperGoogleIBMMicrosoftinformationpartners gmbh
Initial release2017201719922015
Current release2.01902 (16.0.11328.20222), March 20191.0
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++C++
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionWindows infoNot a real database server, but making use of DLLsWindows
Data schemeschema-freeyesyesschema-free
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 indexesyesnoyesyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeyes infobut not compliant to any SQL standardno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
RESTful HTTP API
WebDAV
XQuery
XSLT
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
C++ infomost other programming languages supported via APIs
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesyes infosince Access 2010 using the ACE-engineyes infoon the application server
Triggersyes, with Cloud Functionsnoyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationActive-active shard replicationnoneyes infosychronisation to multiple collections
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACID infobut no files for transaction loggingmultiple readers, single writer
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infobut no files for transaction loggingyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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-standardno infoa simple user-level security was built in till version Access 2003Domain, group and role-based access control at the document level and for application services

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More resources
Google Cloud FirestoreIBM Db2 Event StoreMicrosoft Accesssearchxml
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