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DBMS > Datomic vs. IRONdb vs. PostgreSQL vs. Quasardb vs. RocksDB

System Properties Comparison Datomic vs. IRONdb vs. PostgreSQL vs. Quasardb vs. RocksDB

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIRONdb  Xexclude from comparisonPostgreSQL  Xexclude from comparisonQuasardb  Xexclude from comparisonRocksDB  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 durabilityA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLDistributed, high-performance timeseries databaseEmbeddable persistent key-value store optimized for fast storage (flash and RAM)
Primary database modelRelational DBMSTime Series DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Time Series DBMSKey-value store
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.66
Rank#144  Overall
#66  Relational DBMS
Score636.25
Rank#4  Overall
#4  Relational DBMS
Score0.21
Rank#322  Overall
#29  Time Series DBMS
Score3.41
Rank#86  Overall
#11  Key-value stores
Websitewww.datomic.comwww.circonus.com/solutions/time-series-database/www.postgresql.orgquasar.airocksdb.org
Technical documentationdocs.datomic.comdocs.circonus.com/irondb/category/getting-startedwww.postgresql.org/­docsdoc.quasar.ai/­mastergithub.com/­facebook/­rocksdb/­wiki
DeveloperCognitectCirconus LLC.PostgreSQL Global Development Group infowww.postgresql.org/­developerquasardbFacebook, Inc.
Initial release201220171989 info1989: Postgres, 1996: PostgreSQL20092013
Current release1.0.7075, December 2023V0.10.20, January 201816.3, May 20243.14.1, January 20249.2.1, May 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoBSDcommercial infoFree community edition, Non-profit organizations and non-commercial usage are eligible for free licensesOpen Source infoBSD
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJava, ClojureC and C++CC++C++
Server operating systemsAll OS with a Java VMLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
BSD
Linux
OS X
Windows
Linux
Data schemeyesschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyesyes infointeger and binaryno
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.nonoyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesnoyesyes infowith tagsno
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)yes infostandard with numerous extensionsSQL-like query languageno
APIs and other access methodsRESTful HTTP APIHTTP APIADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIC++ API
Java API
Supported programming languagesClojure
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
.Net
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
R
C
C++
Go
Java
Perl
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes, in Luauser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.nono
TriggersBy using transaction functionsnoyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersAutomatic, metric affinity per nodepartitioning by range, list and (since PostgreSQL 11) by hashSharding infoconsistent hashinghorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersconfigurable replication factor, datacenter awareSource-replica replication infoother methods possible by using 3rd party extensionsSource-replica replication with selectable replication factoryes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononowith Hadoop integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDyes
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesyes infoby using LevelDByes
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 developmentnonoyes infoTransient modeyes
User concepts infoAccess controlnonofine grained access rights according to SQL-standardCryptographically strong user authentication and audit trailno

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More resources
DatomicIRONdbPostgreSQLQuasardbRocksDB
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