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

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

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Editorial information provided by DB-Engines
NameCoveo  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonMicrosoft Access  Xexclude from comparisonXTDB infoformerly named Crux  Xexclude from comparison
DescriptionAI-powered hosted search, recommendation and personalization platform providing tools for both low-code and full-code developmentCloud 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.)A general purpose database with bitemporal SQL and Datalog and graph queries
Primary database modelSearch engineDocument storeRelational DBMSDocument store
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
Score0.11
Rank#343  Overall
#46  Document stores
Websitewww.coveo.comfirebase.google.com/­products/­firestorewww.microsoft.com/­en-us/­microsoft-365/­accessgithub.com/­xtdb/­xtdb
www.xtdb.com
Technical documentationdocs.coveo.comfirebase.google.com/­docs/­firestoredeveloper.microsoft.com/­en-us/­accesswww.xtdb.com/­docs
DeveloperCoveoGoogleMicrosoftJuxt Ltd.
Initial release2012201719922019
Current release1902 (16.0.11328.20222), March 20191.19, September 2021
License infoCommercial or Open Sourcecommercialcommercialcommercial infoBundled with Microsoft OfficeOpen Source infoMIT License
Cloud-based only infoOnly available as a cloud serviceyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++Clojure
Server operating systemshostedhostedWindows infoNot a real database server, but making use of DLLsAll OS with a Java 8 (and higher) VM
Linux
Data schemehybrid - fields need to be configured prior to indexing, but relationships can be exploited at query time without pre-configurationschema-freeyesschema-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 indexesyesyesyesyes
SQL infoSupport of SQLnonoyes infobut not compliant to any SQL standardlimited SQL, making use of Apache Calcite
APIs and other access methodsRESTful HTTP APIAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DAO
ODBC
OLE DB
HTTP REST
JDBC
Supported programming languagesC#
Java
JavaScript
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Delphi
Java (JDBC-ODBC)
VBA
Visual Basic.NET
Clojure
Java
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyes infosince Access 2010 using the ACE-engineno
Triggersyesyes, with Cloud Functionsyes infosince Access 2010 using the ACE-engineno
Partitioning methods infoMethods for storing different data on different nodesyesShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replicationnoneyes, each node contains all data
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesyesACID infobut no files for transaction loggingACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infobut no files for transaction loggingyes, flexibel persistency by using storage technologies like Apache Kafka, RocksDB or LMDB
User concepts infoAccess controlgranular access controls, API key management, content filtersAccess 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 2003

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More resources
CoveoGoogle Cloud FirestoreMicrosoft AccessXTDB infoformerly named Crux
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