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DBMS > EDB Postgres vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. Graphite

System Properties Comparison EDB Postgres vs. Google Cloud Bigtable vs. Google Cloud Firestore vs. Graphite

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Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonGoogle Cloud Bigtable  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonGraphite  Xexclude from comparison
DescriptionThe EDB Postgres Platform is an enterprise-class data management platform based on the open source database PostgreSQL with flexible deployment options and Oracle compatibility features, complemented by tool kits for management, integration, and migration.Google's NoSQL Big Data database service. It's the same database that powers many core Google services, including Search, Analytics, Maps, and Gmail.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.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called Whisper
Primary database modelRelational DBMSKey-value store
Wide column store
Document storeTime Series DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.18
Rank#122  Overall
#59  Relational DBMS
Score3.58
Rank#92  Overall
#14  Key-value stores
#8  Wide column stores
Score8.96
Rank#48  Overall
#8  Document stores
Score4.75
Rank#75  Overall
#5  Time Series DBMS
Websitewww.enterprisedb.comcloud.google.com/­bigtablefirebase.google.com/­products/­firestoregithub.com/­graphite-project/­graphite-web
Technical documentationwww.enterprisedb.com/­docscloud.google.com/­bigtable/­docsfirebase.google.com/­docs/­firestoregraphite.readthedocs.io
DeveloperEnterpriseDBGoogleGoogleChris Davis
Initial release2005201520172006
Current release14, December 2021
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenoyesyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageCPython
Server operating systemsLinux
Windows
hostedhostedLinux
Unix
Data schemeyesschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesnoyesNumeric data only
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.yes infospecific XML-type available, but no XML query functionality.nonono
Secondary indexesyesnoyesno
SQL infoSupport of SQLyes infostandard with numerous extensionsnonono
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
gRPC (using protocol buffers) API
HappyBase (Python library)
HBase compatible API (Java)
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
HTTP API
Sockets
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
C#
C++
Go
Java
JavaScript (Node.js)
Python
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noyes, Firebase Rules & Cloud Functionsno
Triggersyesnoyes, with Cloud Functionsno
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationInternal replication in Colossus, and regional replication between two clusters in different zonesMulti-source replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesUsing Cloud Dataflowno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency (for a single cluster), Eventual consistency (for two or more replicated clusters)Immediate Consistencynone
Foreign keys infoReferential integrityyesnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic single-row operationsyesno
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyes infolocking
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.nono
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 (IAM)Access rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.no

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More resources
EDB PostgresGoogle Cloud BigtableGoogle Cloud FirestoreGraphite
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