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DBMS > Dgraph vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. Oracle Coherence vs. PostgreSQL

System Properties Comparison Dgraph vs. Google Cloud Firestore vs. IBM Db2 Event Store vs. Oracle Coherence vs. PostgreSQL

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonIBM Db2 Event Store  Xexclude from comparisonOracle Coherence  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSCloud 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 casesOracles in-memory data grid solutionWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMSDocument storeEvent Store
Time Series DBMS
Key-value storeRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.45
Rank#156  Overall
#15  Graph DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.19
Rank#323  Overall
#2  Event Stores
#28  Time Series DBMS
Score1.92
Rank#130  Overall
#22  Key-value stores
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitedgraph.iofirebase.google.com/­products/­firestorewww.ibm.com/­products/­db2-event-storewww.oracle.com/­java/­coherencewww.postgresql.org
Technical documentationdgraph.io/­docsfirebase.google.com/­docs/­firestorewww.ibm.com/­docs/­en/­db2-event-storedocs.oracle.com/­en/­middleware/­standalone/­coherencewww.postgresql.org/­docs
DeveloperDgraph Labs, Inc.GoogleIBMOraclePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20162017201720071989 info1989: Postgres, 1996: PostgreSQL
Current release2.014.1, August 202316.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialcommercial infofree developer edition availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoC and C++JavaC
Server operating systemsLinux
OS X
Windows
hostedLinux infoLinux, macOS, Windows for the developer additionAll OS with a Java VMFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeyesschema-freeyes
Typing infopredefined data types such as float or dateyesyesyesyesyes
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.nonononoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesnonoyes
SQL infoSupport of SQLnonoyes infothrough the embedded Spark runtimenoyes infostandard with numerous extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
ADO.NET
DB2 Connect
JDBC
ODBC
RESTful HTTP API
JCache
JPA
RESTful HTTP API
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Supported programming languagesC#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Go
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
C++
Java
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes, with Cloud Functionsnoyes infoLive Eventsyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replicationActive-active shard replicationyes, with selectable consistency levelSource-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoconfigurableACID
Concurrency infoSupport for concurrent manipulation of datayesyesNo - written data is immutableyesyes
Durability infoSupport for making data persistentyesyesYes - Synchronous writes to local disk combined with replication and asynchronous writes in parquet format to permanent shared storageyes infooptionallyyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesyesno
User concepts infoAccess controlno infoPlanned for future releasesAccess 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-standardauthentification to access the cache via certificates or http basic authenticationfine grained access rights according to SQL-standard

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More resources
DgraphGoogle Cloud FirestoreIBM Db2 Event StoreOracle CoherencePostgreSQL
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