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DBMS > EDB Postgres vs. Google Cloud Firestore vs. Immudb vs. Lovefield vs. WakandaDB

System Properties Comparison EDB Postgres vs. Google Cloud Firestore vs. Immudb vs. Lovefield vs. WakandaDB

Editorial information provided by DB-Engines
NameEDB Postgres  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonImmudb  Xexclude from comparisonLovefield  Xexclude from comparisonWakandaDB  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.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.An open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.Embeddable relational database for web apps written in pure JavaScriptWakandaDB is embedded in a server that provides a REST API and a server-side javascript engine to access data
Primary database modelRelational DBMSDocument storeKey-value storeRelational DBMSObject oriented DBMS
Secondary database modelsDocument store
Spatial DBMS
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#130  Overall
#60  Relational DBMS
Score7.36
Rank#53  Overall
#9  Document stores
Score0.31
Rank#295  Overall
#42  Key-value stores
Score0.33
Rank#286  Overall
#131  Relational DBMS
Score0.10
Rank#356  Overall
#16  Object oriented DBMS
Websitewww.enterprisedb.comfirebase.google.com/­products/­firestoregithub.com/­codenotary/­immudb
immudb.io
google.github.io/­lovefieldwakanda.github.io
Technical documentationwww.enterprisedb.com/­docsfirebase.google.com/­docs/­firestoredocs.immudb.iogithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mdwakanda.github.io/­doc
DeveloperEnterpriseDBGoogleCodenotaryGoogleWakanda SAS
Initial release20052017202020142012
Current release14, December 20211.2.3, April 20222.1.12, February 20172.7.0 (April 29, 2019), April 2019
License infoCommercial or Open Sourcecommercial infoBSD for PostgreSQL-componentscommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoAGPLv3, extended commercial license available
Cloud-based only infoOnly available as a cloud servicenoyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCGoJavaScriptC++, JavaScript
Server operating systemsLinux
Windows
hostedBSD
Linux
macOS
Solaris
Windows
z/OS
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, SafariLinux
OS X
Windows
Data schemeyesschema-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.yes infospecific XML-type available, but no XML query functionality.nononono
Secondary indexesyesyesyesyes
SQL infoSupport of SQLyes infostandard with numerous extensionsnoSQL-like syntaxSQL-like query language infovia JavaScript builder patternno
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
gRPC protocol
PostgreSQL wire protocol
RESTful HTTP API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
PHP
Python
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
.Net
Go
Java
JavaScript (Node.js)
Python
JavaScriptJavaScript
Server-side scripts infoStored proceduresuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.yes, Firebase Rules & Cloud Functionsnonoyes
Triggersyesyes, with Cloud FunctionsnoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodeshorizontal partitioning infoby hash, list or rangeShardingShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replicationMulti-source replicationnonenone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoUsing Cloud Dataflownonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDyesACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayes, multi-version concurrency control (MVCC)yesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing MemoryDBno
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.noyes

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More resources
EDB PostgresGoogle Cloud FirestoreImmudbLovefieldWakandaDB
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