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DBMS > Datomic vs. Drizzle vs. Google Cloud Firestore vs. RDFox

System Properties Comparison Datomic vs. Drizzle vs. Google Cloud Firestore vs. RDFox

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDrizzle  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparisonRDFox  Xexclude from comparison
Drizzle has published its last release in September 2012. The open-source project is discontinued and Drizzle is excluded from the DB-Engines ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityMySQL fork with a pluggable micro-kernel and with an emphasis of performance over compatibility.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.High performance knowledge graph and semantic reasoning engine
Primary database modelRelational DBMSRelational DBMSDocument storeGraph DBMS
RDF store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score7.85
Rank#51  Overall
#8  Document stores
Score0.23
Rank#308  Overall
#25  Graph DBMS
#14  RDF stores
Websitewww.datomic.comfirebase.google.com/­products/­firestorewww.oxfordsemantic.tech
Technical documentationdocs.datomic.comfirebase.google.com/­docs/­firestoredocs.oxfordsemantic.tech
DeveloperCognitectDrizzle project, originally started by Brian AkerGoogleOxford Semantic Technologies
Initial release2012200820172017
Current release1.0.6735, June 20237.2.4, September 20126.0, Septermber 2022
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoGNU GPLcommercialcommercial
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC++C++
Server operating systemsAll OS with a Java VMFreeBSD
Linux
OS X
hostedLinux
macOS
Windows
Data schemeyesyesschema-freeyes infoRDF schemas
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
Secondary indexesyesyesyes
SQL infoSupport of SQLnoyes infowith proprietary extensionsnono
APIs and other access methodsRESTful HTTP APIJDBCAndroid
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
RESTful HTTP API
SPARQL 1.1
Supported programming languagesClojure
Java
C
C++
Java
PHP
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
C
Java
Server-side scripts infoStored proceduresyes infoTransaction Functionsnoyes, Firebase Rules & Cloud Functions
TriggersBy using transaction functionsno infohooks for callbacks inside the server can be used.yes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersMulti-source replication
Source-replica replication
Multi-source replicationreplication via a shared file system
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate Consistency in stand-alone mode, Eventual Consistency in replicated setups
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes inforecommended only for testing and developmentyes
User concepts infoAccess controlnoPluggable authentication mechanisms infoe.g. LDAP, HTTPAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.Roles, resources, and access types

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More resources
DatomicDrizzleGoogle Cloud FirestoreRDFox
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