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DBMS > Google Cloud Firestore vs. IBM Db2 Event Store vs. Stardog vs. VelocityDB

System Properties Comparison Google Cloud Firestore vs. IBM Db2 Event Store vs. Stardog vs. VelocityDB

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonStardog  Xexclude from comparisonVelocityDB  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.Distributed Event Store optimized for Internet of Things use casesEnterprise 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 modelDocument storeEvent Store
Time Series DBMS
Graph DBMS
RDF store
Graph DBMS
Object oriented DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score8.05
Rank#50  Overall
#9  Document stores
Score0.43
Rank#237  Overall
#2  Event Stores
#15  Time Series DBMS
Score1.45
Rank#144  Overall
#10  Graph DBMS
#5  RDF stores
Score0.11
Rank#299  Overall
#28  Graph DBMS
#16  Object oriented DBMS
Websitefirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storewww.stardog.comvelocitydb.com
Technical documentationfirebase.google.com/­docs/­firestorewww.ibm.com/­support/­knowledgecenter/­en/­SSGNPV_2.0.0/­welcome.htmlwww.stardog.com/­docsvelocitydb.com/­UserGuide
DeveloperGoogleIBMStardog-UnionVelocityDB Inc
Initial release2017201720102011
Current release2.07.3.0, May 20207.x
License infoCommercial or Open Sourcecommercialcommercial infofree developer edition availablecommercial 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 serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++JavaC#
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
macOS
Windows
Any that supports .NET
Data schemeschema-freeyesschema-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.nonono infoImport/export of XML data possibleno
Secondary indexesyesnoyes infosupports real-time indexing in full-text and geospatialyes
SQL infoSupport of SQLnoyes infothrough the embedded Spark runtimeYes, compatible with all major SQL variants through dedicated BI/SQL Serverno
APIs and other access methodsAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
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 languagesGo
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
C#
C++
Cobol
Delphi
Fortran
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Scala
Visual Basic
.Net
Clojure
Groovy
Java
JavaScript
Python
Ruby
.Net
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyes, with Cloud Functionsnoyes infovia event handlersCallbacks are triggered when data changes
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationActive-active shard replicationMulti-source replication in HA-Cluster
MapReduce infoOffers an API for user-defined Map/Reduce methodsUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate Consistency in HA-ClusterImmediate Consistency
Foreign keys infoReferential integritynonoyes inforelationships in graphsno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesyes
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.fine grained access rights according to SQL-standardAccess rights for users and rolesBased on Windows Authentication
More information provided by the system vendor
Google Cloud FirestoreIBM Db2 Event StoreStardogVelocityDB
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
Google Cloud FirestoreIBM Db2 Event StoreStardogVelocityDB
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