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DBMS > Google Cloud Firestore vs. Stardog vs. Teradata vs. Typesense

System Properties Comparison Google Cloud Firestore vs. Stardog vs. Teradata vs. Typesense

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonStardog  Xexclude from comparisonTeradata  Xexclude from comparisonTypesense  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.Enterprise Knowledge Graph platform and graph DBMS with high availability, high performance reasoning, and virtualizationA hybrid cloud data analytics software platform (Teradata Vantage)A typo-tolerant, in-memory search engine optimized for instant search-as-you-type experiences and developer productivity
Primary database modelDocument storeGraph DBMS
RDF store
Relational DBMSSearch engine
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score6.63
Rank#54  Overall
#9  Document stores
Score1.93
Rank#121  Overall
#10  Graph DBMS
#6  RDF stores
Score41.47
Rank#22  Overall
#15  Relational DBMS
Score0.80
Rank#209  Overall
#14  Search engines
Websitefirebase.google.com/­products/­firestorewww.stardog.comwww.teradata.comtypesense.org
Technical documentationfirebase.google.com/­docs/­firestoredocs.stardog.comdocs.teradata.comtypesense.org/­docs
DeveloperGoogleStardog-UnionTeradata
Initial release2017201019842015
Current release7.3.0, May 2020Teradata Vantage 1.0 MU2, January 2019
License infoCommercial or Open Sourcecommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercialOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++
Server operating systemshostedLinux
macOS
Windows
hosted
Linux
Linux
Data schemeschema-freeschema-free and OWL/RDFS-schema supportyesschema-free infopre-defined schema optional
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.nono infoImport/export of XML data possibleyes
Secondary indexesyesyes infosupports real-time indexing in full-text and geospatialyes infoJoin-index to prejoin tables, aggregate index, sparse index, hash indexyes
SQL infoSupport of SQLnoYes, compatible with all major SQL variants through dedicated BI/SQL Serveryes infoSQL 2016 + extensionsno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
GraphQL query language
HTTP API
Jena RDF API
OWL
RDF4J API
Sesame REST HTTP Protocol
SNARL
SPARQL
Spring Data
Stardog Studio
TinkerPop 3
.NET Client API
HTTP REST
JDBC
JMS Adapter
ODBC
OLE DB
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
C
C++
Cobol
Java (JDBC-ODBC)
Perl
PL/1
Python
R
Ruby
.Net infocommunity maintained
Clojure infocommunity maintained
Dart infocommunity maintained
Go infocommunity maintained
Java infocommunity maintained
JavaScript
Perl infocommunity maintained
PHP
Python
Ruby
Rust infocommunity maintained
Swift infocommunity maintained
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsuser defined functions and aggregates, HTTP Server extensions in Javayes infoUDFs, stored procedures, table functions in parallelno
Triggersyes, with Cloud Functionsyes infovia event handlersyes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding infoHashing
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replication in HA-ClusterMulti-source replication
Source-replica replication
Multi-source replication using RAFT
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynoyes inforelationships in graphsyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesyes
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.Access rights for users and rolesfine grained access rights according to SQL-standard

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More resources
Google Cloud FirestoreStardogTeradataTypesense
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