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DBMS > Coveo vs. FatDB vs. Google Cloud Firestore vs. Microsoft Access vs. Yaacomo

System Properties Comparison Coveo vs. FatDB vs. Google Cloud Firestore vs. Microsoft Access vs. Yaacomo

Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonFatDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonYaacomo  Xexclude from comparison
FatDB/FatCloud has ceased operations as a company with February 2014. FatDB is discontinued and excluded from the ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentA .NET NoSQL DBMS that can integrate with and extend SQL Server.Cloud 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.)OpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelSearch engineDocument store
Key-value store
Document storeRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#114  Overall
#11  Search engines
Score7.85
Rank#51  Overall
#8  Document stores
Score104.92
Rank#11  Overall
#8  Relational DBMS
Websitewww.coveo.comfirebase.google.com/­products/­firestorewww.microsoft.com/­en-us/­microsoft-365/­accessyaacomo.com
Technical documentationdocs.coveo.comfirebase.google.com/­docs/­firestoredeveloper.microsoft.com/­en-us/­access
DeveloperCoveoFatCloudGoogleMicrosoftQ2WEB GmbH
Initial release20122012201719922009
Current release1902 (16.0.11328.20222), March 2019
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial infoBundled with Microsoft Officecommercial
Cloud-based only infoOnly available as a cloud serviceyesnoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC#C++
Server operating systemshostedWindowshostedWindows infoNot a real database server, but making use of DLLsAndroid
Linux
Windows
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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 indexesyesyesyesyesyes
SQL infoSupport of SQLnono infoVia inetgration in SQL Servernoyes infobut not compliant to any SQL standardyes
APIs and other access methodsRESTful HTTP API.NET Client API
LINQ
RESTful HTTP API
RPC
Windows WCF Bindings
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
JDBC
ODBC
Supported programming languagesC#
Java
JavaScript
Python
C#Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Server-side scripts infoStored proceduresnoyes infovia applicationsyes, Firebase Rules & Cloud Functionsyes infosince Access 2010 using the ACE-engine
Triggersyesyes infovia applicationsyes, with Cloud Functionsyes infosince Access 2010 using the ACE-engineyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingnonehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factorMulti-source replicationnoneSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoyesACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes 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.yes
User concepts infoAccess controlgranular access controls, API key management, content filtersno infoCan implement custom security layer via applicationsAccess 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 2003fine grained access rights according to SQL-standard

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More resources
CoveoFatDBGoogle Cloud FirestoreMicrosoft AccessYaacomo
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Google launches Cloud Firestore, a new document database for app developers
3 October 2017, TechCrunch

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