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DBMS > Datomic vs. Quasardb

System Properties Comparison Datomic vs. Quasardb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonQuasardb  Xexclude from comparison
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilityDistributed, high-performance timeseries database
Primary database modelRelational DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.75
Rank#131  Overall
#64  Relational DBMS
Score0.07
Rank#330  Overall
#29  Time Series DBMS
Websitewww.datomic.comquasardb.net
Technical documentationdocs.datomic.comdoc.quasar.ai/­master
DeveloperCognitectquasardb
Initial release20122009
Current release1.0.6362, January 20223.13.3, April 2022
License infoCommercial or Open Sourcecommercial infolimited edition freecommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licenses
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC++
Server operating systemsAll OS with a Java VMBSD
Linux
OS X
Windows
Data schemeyesschema-free
Typing infopredefined data types such as float or dateyesyes 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.nono
Secondary indexesyesyes infowith tags
SQL infoSupport of SQLnoSQL-like query language
APIs and other access methodsRESTful HTTP APIHTTP API
Supported programming languagesClojure
Java
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsno
TriggersBy using transaction functionsno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yes 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 developmentyes infoTransient mode
User concepts infoAccess controlnoCryptographically strong user authentication and audit trail

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More resources
DatomicQuasardb
Recent citations in the news

The Architecture of Datomic
2 November 2012, InfoQ.com

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4 April 2012, InfoQ.com

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6 August 2022, Nature.com

Lucas Cavalcanti on Using Clojure, Microservices, Hexagonal Architecture and Public Cloud at Nubank
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Job opportunities

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