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DBMS > Datomic vs. Hive vs. IRONdb vs. Quasardb

System Properties Comparison Datomic vs. Hive vs. IRONdb vs. Quasardb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonHive  Xexclude from comparisonIRONdb  Xexclude from comparisonQuasardb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionDatomic builds on immutable values, supports point-in-time queries and uses 3rd party systems for durabilitydata warehouse software for querying and managing large distributed datasets, built on HadoopA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityDistributed, high-performance timeseries database
Primary database modelRelational DBMSRelational DBMSTime Series DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.14
Rank#332  Overall
#29  Time Series DBMS
Websitewww.datomic.comhive.apache.orgwww.circonus.com/solutions/time-series-database/quasar.ai
Technical documentationdocs.datomic.comcwiki.apache.org/­confluence/­display/­Hive/­Homedocs.circonus.com/irondb/category/getting-starteddoc.quasar.ai/­master
DeveloperCognitectApache Software Foundation infoinitially developed by FacebookCirconus LLC.quasardb
Initial release2012201220172009
Current release1.0.6735, June 20233.1.3, April 2022V0.10.20, January 20183.14.1, 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 servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureJavaC and C++C++
Server operating systemsAll OS with a Java VMAll OS with a Java VMLinuxBSD
Linux
OS X
Windows
Data schemeyesyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes 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.nonono
Secondary indexesyesyesnoyes infowith tags
SQL infoSupport of SQLnoSQL-like DML and DDL statementsSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language
APIs and other access methodsRESTful HTTP APIJDBC
ODBC
Thrift
HTTP APIHTTP API
Supported programming languagesClojure
Java
C++
Java
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes infouser defined functions and integration of map-reduceyes, in Luano
TriggersBy using transaction functionsnonono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersShardingAutomatic, metric affinity per nodeSharding infoconsistent hashing
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersselectable replication factorconfigurable replication factor, datacenter awareSource-replica replication with selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes infoquery execution via MapReducenowith Hadoop integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACID
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 developmentnoyes infoTransient mode
User concepts infoAccess controlnoAccess rights for users, groups and rolesnoCryptographically strong user authentication and audit trail

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DatomicHiveIRONdbQuasardb
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