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DBMS > Dgraph vs. GigaSpaces vs. Google Cloud Spanner vs. PostgreSQL

System Properties Comparison Dgraph vs. GigaSpaces vs. Google Cloud Spanner vs. PostgreSQL

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Editorial information provided by DB-Engines
NameDgraph  Xexclude from comparisonGigaSpaces  Xexclude from comparisonGoogle Cloud Spanner  Xexclude from comparisonPostgreSQL  Xexclude from comparison
DescriptionDistributed and scalable native Graph DBMSHigh performance in-memory data grid platform, powering three products: Smart Cache, Smart ODS (Operational Data Store), Smart Augmented TransactionsA horizontally scalable, globally consistent, relational database service. It is the externalization of the core Google database that runs the biggest aspects of Google, like Ads and Google Play.Widely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQL
Primary database modelGraph DBMSDocument store
Object oriented DBMS infoValues are user defined objects
Relational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.
Secondary database modelsGraph DBMS
Search engine
Document 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
Score1.53
Rank#152  Overall
#15  Graph DBMS
Score1.03
Rank#188  Overall
#32  Document stores
#6  Object oriented DBMS
Score2.84
Rank#100  Overall
#51  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Websitedgraph.iowww.gigaspaces.comcloud.google.com/­spannerwww.postgresql.org
Technical documentationdgraph.io/­docsdocs.gigaspaces.com/­latest/­landing.htmlcloud.google.com/­spanner/­docswww.postgresql.org/­docs
DeveloperDgraph Labs, Inc.Gigaspaces TechnologiesGooglePostgreSQL Global Development Group infowww.postgresql.org/­developer
Initial release2016200020171989 info1989: Postgres, 1996: PostgreSQL
Current release15.5, September 202016.3, May 2024
License infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoApache Version 2; Commercial licenses availablecommercialOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageGoJava, C++, .NetC
Server operating systemsLinux
OS X
Windows
Linux
macOS
Solaris
Windows
hostedFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
Data schemeschema-freeschema-freeyesyes
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.nono infoXML can be used for describing objects metadatanoyes infospecific XML-type available, but no XML query functionality.
Secondary indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-99 for query and DML statementsyes infoQuery statements complying to ANSI 2011yes infostandard with numerous extensions
APIs and other access methodsGraphQL query language
gRPC (using protocol buffers) API
HTTP API
GigaSpaces LRMI
Hibernate
JCache
JDBC
JPA
ODBC
RESTful HTTP API
Spring Data
gRPC (using protocol buffers) API
JDBC infoAt present, JDBC supports read-only queries. No support for DDL or DML statements.
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
.Net
C++
Java
Python
Scala
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Server-side scripts infoStored proceduresnoyesnouser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.
Triggersnoyes, event driven architecturenoyes
Partitioning methods infoMethods for storing different data on different nodesyesShardingShardingpartitioning by range, list and (since PostgreSQL 11) by hash
Replication methods infoMethods for redundantly storing data on multiple nodesSynchronous replication via RaftMulti-source replication infosynchronous or asynchronous
Source-replica replication infosynchronous or asynchronous
Multi-source replication with 3 replicas for regional instances.Source-replica replication infoother methods possible by using 3rd party extensions
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoMap-Reduce pattern can be built with XAP task executorsyes infousing Google Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency infoConsistency level configurable: ALL, QUORUM, ANYImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes infoby using interleaved tables, this features focuses more on performance improvements than on referential integrityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACID infoStrict serializable isolationACID
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.yesnono
User concepts infoAccess controlno infoPlanned for future releasesRole-based access controlAccess rights for users, groups and roles based on Google Cloud Identity and Access Management (IAM)fine grained access rights according to SQL-standard

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More resources
DgraphGigaSpacesGoogle Cloud SpannerPostgreSQL
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