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DBMS > BaseX vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore vs. Pinecone vs. Yaacomo

System Properties Comparison BaseX vs. Fujitsu Enterprise Postgres vs. Google Cloud Firestore vs. Pinecone vs. Yaacomo

Editorial information provided by DB-Engines
NameBaseX  Xexclude from comparisonFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonPinecone  Xexclude from comparisonYaacomo  Xexclude from comparison
Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionLight-weight Native XML DBMS with support for XQuery 3.0 and interactive GUI.Enterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.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.A managed, cloud-native vector databaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelNative XML DBMSRelational DBMSDocument storeVector DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.73
Rank#142  Overall
#4  Native XML DBMS
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score3.16
Rank#95  Overall
#2  Vector DBMS
Websitebasex.orgwww.postgresql.fastware.comfirebase.google.com/­products/­firestorewww.pinecone.ioyaacomo.com
Technical documentationdocs.basex.orgwww.postgresql.fastware.com/­product-manualsfirebase.google.com/­docs/­firestoredocs.pinecone.io/­docs/­overview
DeveloperBaseX GmbHPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGooglePinecone Systems, IncQ2WEB GmbH
Initial release2007201720192009
Current release10.7, August 2023Fujitsu Enterprise Postgres 14, January 2022
License infoCommercial or Open SourceOpen Source infoBSD licensecommercialcommercialcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC
Server operating systemsLinux
OS X
Windows
Linux
Windows
hostedhostedAndroid
Linux
Windows
Data schemeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateno infoXQuery supports typesyesyesString, Number, Booleanyes
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 SQLnoyesnonoyes
APIs and other access methodsJava API
RESTful HTTP API
RESTXQ
WebDAV
XML:DB
XQJ
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP APIJDBC
ODBC
Supported programming languagesActionscript
C
C#
Haskell
Java
JavaScript infoNode.js
Lisp
Perl
PHP
Python
Qt
Rebol
Ruby
Scala
Visual Basic
.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Python
Server-side scripts infoStored proceduresyesuser defined functionsyes, Firebase Rules & Cloud Functions
Triggersyes infovia eventsyesyes, with Cloud Functionsyes
Partitioning methods infoMethods for storing different data on different nodesnonepartitioning by range, list and by hashShardinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnoneSource-replica replicationMulti-source replicationSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datamultiple readers, single writerACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlUsers with fine-grained authorization concept on 4 levelsfine grained access rights according to SQL-standardAccess 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-standard
More information provided by the system vendor
BaseXFujitsu Enterprise PostgresGoogle Cloud FirestorePineconeYaacomo
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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More resources
BaseXFujitsu Enterprise PostgresGoogle Cloud FirestorePineconeYaacomo
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