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DBMS > Datomic vs. Derby vs. Firebase Realtime Database vs. Quasardb

System Properties Comparison Datomic vs. Derby vs. Firebase Realtime Database vs. Quasardb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDB  Xexclude from comparisonFirebase Realtime Database  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityFull-featured RDBMS with a small footprint, either embedded into a Java application or used as a database server.Cloud-hosted realtime document store. iOS, Android, and JavaScript clients share one Realtime Database instance and automatically receive updates with the newest data.Distributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSDocument storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score4.60
Rank#70  Overall
#38  Relational DBMS
Score13.64
Rank#39  Overall
#6  Document stores
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Websitewww.datomic.comdb.apache.org/­derbyfirebase.google.com/­products/­realtime-databasequasar.ai
Technical documentationdocs.datomic.comdb.apache.org/­derby/­manuals/­index.htmlfirebase.google.com/­docs/­databasedoc.quasar.ai/­master
DeveloperCognitectApache Software FoundationGoogle infoacquired by Google 2014quasardb
Initial release2012199720122009
Current release1.0.7075, December 202310.17.1.0, November 20233.14.1, January 2024
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoApache version 2commercialcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenonoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureJavaC++
Server operating systemsAll OS with a Java VMAll OS with a Java VMhostedBSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyesyes infointeger and binary
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.noyesnono
Secondary indexesyesyesyesyes infowith tags
SQL infoSupport of SQLnoyesnoSQL-like query language
APIs and other access methodsRESTful HTTP APIJDBCAndroid
iOS
JavaScript API
RESTful HTTP API
HTTP API
Supported programming languagesClojure
Java
JavaJava
JavaScript
Objective-C
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction FunctionsJava Stored Procedureslimited functionality with using 'rules'no
TriggersBy using transaction functionsyesCallbacks are triggered when data changesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyEventual Consistency infoif the client is offline
Immediate Consistency infoif the client is online
Immediate Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDyesACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoby using LevelDB
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 developmentyesyes infoTransient mode
User concepts infoAccess controlnofine grained access rights according to SQL-standardyes, based on authentication and database rulesCryptographically strong user authentication and audit trail

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More resources
DatomicDerby infooften called Apache Derby, originally IBM Cloudscape; contained in the Java SDK as JavaDBFirebase Realtime DatabaseQuasardb
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