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

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

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Editorial information provided by DB-Engines
NameGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonStardog  Xexclude from comparisonTinkerGraph  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 lightweight, in-memory graph engine that serves as a reference implementation of the TinkerPop3 API
Primary database modelDocument storeEvent Store
Time Series DBMS
Graph DBMS
RDF store
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score7.85
Rank#51  Overall
#8  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score2.02
Rank#123  Overall
#11  Graph DBMS
#6  RDF stores
Score0.08
Rank#348  Overall
#35  Graph DBMS
Websitefirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storewww.stardog.comtinkerpop.apache.org/­docs/­current/­reference/­#tinkergraph-gremlin
Technical documentationfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-storedocs.stardog.com
DeveloperGoogleIBMStardog-Union
Initial release2017201720102009
Current release2.07.3.0, May 2020
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/studentsOpen Source infoApache 2.0
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++JavaJava
Server operating systemshostedLinux infoLinux, macOS, Windows for the developer additionLinux
macOS
Windows
Data schemeschema-freeyesschema-free and OWL/RDFS-schema supportschema-free
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 geospatialno
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
TinkerPop 3
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
Groovy
Java
Server-side scripts infoStored proceduresyes, Firebase Rules & Cloud Functionsyesuser defined functions and aggregates, HTTP Server extensions in Javano
Triggersyes, with Cloud Functionsnoyes infovia event handlersno
Partitioning methods infoMethods for storing different data on different nodesShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationActive-active shard replicationMulti-source replication in HA-Clusternone
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-Clusternone
Foreign keys infoReferential integritynonoyes inforelationships in graphsyes infoRelationships in graphs
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datayesnoACIDno
Concurrency infoSupport for concurrent manipulation of datayesNo - written data is immutableyesno
Durability infoSupport for making data persistentyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyesoptional
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 rolesno

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More resources
Google Cloud FirestoreIBM Db2 Event StoreStardogTinkerGraph
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