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DBMS > Dgraph vs. Google Cloud Firestore vs. Graphite vs. GridGain vs. PostgreSQL

System Properties Comparison Dgraph vs. Google Cloud Firestore vs. Graphite vs. GridGain vs. PostgreSQL

Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGraphite  Xexclude from comparisonGridGain  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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperGridGain is an in-memory computing platform, built on Apache IgniteWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMSDocument storeTime Series DBMSKey-value store
Relational DBMS
Relational 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
Score4.57
Rank#73  Overall
#5  Time Series DBMS
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Websitedgraph.iofirebase.google.com/­products/­firestoregithub.com/­graphite-project/­graphite-webwww.gridgain.comwww.postgresql.org
Technical documentationdgraph.io/­docsfirebase.google.com/­docs/­firestoregraphite.readthedocs.iowww.gridgain.com/­docs/­index.htmlwww.postgresql.org/­docs
DeveloperDgraph Labs, Inc.GoogleChris DavisGridGain Systems, Inc.PostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release20162017200620071989 info1989: Postgres, 1996: PostgreSQL
Current releaseGridGain 8.5.116.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoPythonJava, C++, .NetC
Server operating systemsLinux
OS X
Windows
hostedLinux
Unix
Linux
OS X
Solaris
Windows
FreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyesNumeric data onlyyesyes
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.nononoyesyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesnoyesyes
SQL infoSupport of SQLnononoANSI-99 for query and DML statements, subset of DDLyes 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
HTTP API
Sockets
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
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
JavaScript (Node.js)
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyes, Firebase Rules & Cloud Functionsnoyes (compute grid and cache interceptors can be used instead)user defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes, with Cloud Functionsnoyes (cache interceptors and events)yes
Partitioning methods infoMethods for storing different data on different nodesyesShardingnoneShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replicationnoneyes (replicated cache)Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownoyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencynoneImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
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.noSecurity Hooks for custom implementationsfine grained access rights according to SQL-standard

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More resources
DgraphGoogle Cloud FirestoreGraphiteGridGainPostgreSQL
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