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DBMS > Brytlyt vs. Google Cloud Firestore vs. Stardog vs. VelocityDB

System Properties Comparison Brytlyt vs. Google Cloud Firestore vs. Stardog vs. VelocityDB

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Editorial information provided by DB-Engines
NameBrytlyt  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonStardog  Xexclude from comparisonVelocityDB  Xexclude from comparison
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLCloud 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 .NET Object Database that can be embedded/distributed and extended to a graph data model (VelocityGraph)
Primary database modelRelational DBMSDocument storeGraph DBMS
RDF store
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#260  Overall
#118  Relational DBMS
Score8.05
Rank#50  Overall
#9  Document stores
Score1.45
Rank#144  Overall
#10  Graph DBMS
#5  RDF stores
Score0.11
Rank#299  Overall
#28  Graph DBMS
#16  Object oriented DBMS
Websitewww.brytlyt.comfirebase.google.com/­products/­firestorewww.stardog.comvelocitydb.com
Technical documentationfirebase.google.com/­docs/­firestorewww.stardog.com/­docsvelocitydb.com/­UserGuide
DeveloperBrytlytGoogleStardog-UnionVelocityDB Inc
Initial release2016201720102011
Current release0.9, October 20167.3.0, May 20207.x
License infoCommercial or Open Sourcecommercialcommercialcommercial info60-day fully-featured trial license; 1-year fully-featured non-commercial use license for academics/studentscommercial
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC, C++ and CUDAJavaC#
Server operating systemsLinux
OS X
Windows
hostedLinux
macOS
Windows
Any that supports .NET
Data schemeyesschema-freeschema-free and OWL/RDFS-schema supportyes
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.yes infospecific XML-type available, but no XML query functionality.nono infoImport/export of XML data possibleno
Secondary indexesyesyesyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLyesnoYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
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
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
Server-side scripts infoStored proceduresuser defined functions infoin PL/pgSQLyes, Firebase Rules & Cloud Functionsuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyesyes, with Cloud Functionsyes infovia event handlersCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integrityyesnoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACID
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.yesyes
User concepts infoAccess controlfine 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.Access rights for users and rolesBased on Windows Authentication
More information provided by the system vendor
BrytlytGoogle Cloud FirestoreStardogVelocityDB
Specific characteristicsStardog is an Enterprise Knowledge Graph platform, uniquely combining graph storage...
» more
Competitive advantagesStardog provides a full featureset to aid in data integration for your complex data....
» more
Typical application scenariosStardog is frequently used for: Anti-money laundering & fraud monitoring Customer...
» more
Key customersBosch, Dow Jones, Elsevier, Ericsson, Morgan Stanley, NASA, NIH, Nokia, Salesforce,...
» more
Market metricsStardog's technology is based on ground-breaking research by our founders cited 10,000+...
» more
Licensing and pricing modelsA fully-featured 60-day Trial license is available for those testing Stardog; contact...
» more

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
BrytlytGoogle Cloud FirestoreStardogVelocityDB
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