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DBMS > Alibaba Cloud PolarDB vs. AllegroGraph vs. Datomic vs. EJDB vs. Google Cloud Firestore

System Properties Comparison Alibaba Cloud PolarDB vs. AllegroGraph vs. Datomic vs. EJDB vs. Google Cloud Firestore

Editorial information provided by DB-Engines
NameAlibaba Cloud PolarDB  Xexclude from comparisonAllegroGraph  Xexclude from comparisonDatomic  Xexclude from comparisonEJDB  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionA cloud-native relational database compatible with MySQL, PostgreSQL, and Oracle. Designed for business critical applications.High performance, persistent RDF store with additional support for Graph DBMSDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityEmbeddable document-store database library with JSON representation of queries (in MongoDB style)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.
Primary database modelRelational DBMSDocument store infowith version 6.5
Graph DBMS
RDF store
Vector DBMS
Relational DBMSDocument storeDocument store
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.59
Rank#241  Overall
#110  Relational DBMS
Score1.06
Rank#187  Overall
#30  Document stores
#17  Graph DBMS
#7  RDF stores
#7  Vector DBMS
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score0.27
Rank#297  Overall
#44  Document stores
Score7.85
Rank#51  Overall
#8  Document stores
Websitewww.alibabacloud.com/­product/­polardballegrograph.comwww.datomic.comgithub.com/­Softmotions/­ejdbfirebase.google.com/­products/­firestore
Technical documentationwww.alibabacloud.com/­help/­en/­polardb/­product-overviewfranz.com/­agraph/­support/­documentation/­current/­agraph-introduction.htmldocs.datomic.comgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdfirebase.google.com/­docs/­firestore
DeveloperAlibabaFranz Inc.CognitectSoftmotionsGoogle
Initial release2004201220122017
Current release8.0, December 20231.0.6735, June 2023
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freecommercial infolimited edition freeOpen Source infoGPLv2commercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC
Server operating systemshostedLinux
OS X
Windows
All OS with a Java VMserver-lesshosted
Data schemeyesyes infoRDF schemasyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infostring, integer, double, bool, date, object_idyes
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.yesno infobulk load of XML files possiblenono
Secondary indexesyesyesyesnoyes
SQL infoSupport of SQLyesSPARQL is used as query languagenonono
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
SPARQL
RESTful HTTP APIin-process shared libraryAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesJava
Python
C#
Clojure
Java
Lisp
Perl
Python
Ruby
Scala
Clojure
Java
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresyesyes infoJavaScript or Common Lispyes infoTransaction Functionsnoyes, Firebase Rules & Cloud Functions
TriggersyesyesBy using transaction functionsnoyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicewith Federationnone infoBut extensive use of caching in the application peersnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-source replication
Source-replica replication
none infoBut extensive use of caching in the application peersnoneMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyesnonono infotypically not needed, however similar functionality with collection joins possibleno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDnoyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoRead/Write Lockingyes
Durability infoSupport for making data persistentyesyesyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnoyes inforecommended only for testing and development
User concepts infoAccess controlfine grained access rights according to SQL-standardUsers with fine-grained authorization concept, user roles and pluggable authenticationnonoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.
More information provided by the system vendor
Alibaba Cloud PolarDBAllegroGraphDatomicEJDBGoogle Cloud Firestore
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