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DBMS > Fujitsu Enterprise Postgres vs. Google Cloud Firestore vs. GridGain vs. Memcached

System Properties Comparison Fujitsu Enterprise Postgres vs. Google Cloud Firestore vs. GridGain vs. Memcached

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Editorial information provided by DB-Engines
NameFujitsu Enterprise Postgres  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGridGain  Xexclude from comparisonMemcached  Xexclude from comparison
DescriptionEnterprise-grade PostgreSQL-based DBMS with security enhancements such as Transparent Data Encryption and Data Masking, plus high-availability and performance improvement features.Cloud 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.GridGain is an in-memory computing platform, built on Apache IgniteIn-memory key-value store, originally intended for caching
Primary database modelRelational DBMSDocument storeKey-value store
Relational DBMS
Key-value store
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.31
Rank#285  Overall
#129  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score1.47
Rank#154  Overall
#26  Key-value stores
#72  Relational DBMS
Score19.42
Rank#32  Overall
#4  Key-value stores
Websitewww.postgresql.fastware.comfirebase.google.com/­products/­firestorewww.gridgain.comwww.memcached.org
Technical documentationwww.postgresql.fastware.com/­product-manualsfirebase.google.com/­docs/­firestorewww.gridgain.com/­docs/­index.htmlgithub.com/­memcached/­memcached/­wiki
DeveloperPostgreSQL Global Development Group, Fujitsu Australia Software TechnologyGoogleGridGain Systems, Inc.Danga Interactive infooriginally developed by Brad Fitzpatrick for LiveJournal
Initial release201720072003
Current releaseFujitsu Enterprise Postgres 14, January 2022GridGain 8.5.11.6.25, March 2024
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoBSD license
Cloud-based only infoOnly available as a cloud servicenoyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCJava, C++, .NetC
Server operating systemsLinux
Windows
hostedLinux
OS X
Solaris
Windows
FreeBSD
Linux
OS X
Unix
Windows
Data schemeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesno
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.noyes
Secondary indexesyesyesyesno
SQL infoSupport of SQLyesnoANSI-99 for query and DML statements, subset of DDLno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HDFS API
Hibernate
JCache
JDBC
ODBC
Proprietary protocol
RESTful HTTP API
Spring Data
Proprietary protocol
Supported programming languages.Net
C
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C#
C++
Java
PHP
Python
Ruby
Scala
.Net
C
C++
ColdFusion
Erlang
Java
Lisp
Lua
OCaml
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresuser defined functionsyes, Firebase Rules & Cloud Functionsyes (compute grid and cache interceptors can be used instead)no
Triggersyesyes, with Cloud Functionsyes (cache interceptors and events)no
Partitioning methods infoMethods for storing different data on different nodespartitioning by range, list and by hashShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationMulti-source replicationyes (replicated cache)none infoRepcached, a Memcached patch, provides this functionallity
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflowyes (compute grid and hadoop accelerator)no
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes
Durability infoSupport for making data persistentyesyesyesno
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlfine grained access rights according to SQL-standardAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Security Hooks for custom implementationsyes infousing SASL (Simple Authentication and Security Layer) protocol
More information provided by the system vendor
Fujitsu Enterprise PostgresGoogle Cloud FirestoreGridGainMemcached
Specific characteristics100% compatible with community PostgreSQL
» more
Competitive advantagesBuilt-in TDE and Data Masking security. In-Memory Columnar Index, and a high speed...
» more
Typical application scenariosTransactional payments applications, reporting and mixed workloads.
» more
Market metricsOver 30 years experience in database technology. Over 20 years in Postgres development...
» more
Licensing and pricing modelsCore based licensing
» more

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Fujitsu Enterprise PostgresGoogle Cloud FirestoreGridGainMemcached
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