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DBMS > Datomic vs. Firebird vs. IRONdb vs. NSDb

System Properties Comparison Datomic vs. Firebird vs. IRONdb vs. NSDb

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Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonFirebird  Xexclude from comparisonIRONdb  Xexclude from comparisonNSDb  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 durabilityFirebird is an open source RDBMS forked from Borland's InterBaseA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of Kubernetes
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
Score20.82
Rank#30  Overall
#18  Relational DBMS
Score0.00
Rank#383  Overall
#41  Time Series DBMS
Websitewww.datomic.comwww.firebirdsql.orgwww.circonus.com/solutions/time-series-database/nsdb.io
Technical documentationdocs.datomic.comwww.firebirdsql.org/­en/­reference-manualsdocs.circonus.com/irondb/category/getting-startednsdb.io/­Architecture
DeveloperCognitectFirebird FoundationCirconus LLC.
Initial release20122000 infoAs fork of Borland's InterBase20172017
Current release1.0.6735, June 20235.0.0, January 2024V0.10.20, January 2018
License infoCommercial or Open Sourcecommercial infolimited edition freeOpen Source infoInitial Developer's Public LicensecommercialOpen Source infoApache Version 2.0
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, ClojureC and C++C and C++Java, Scala
Server operating systemsAll OS with a Java VMAIX
FreeBSD
HP-UX
Linux
OS X
server-less infoFirebird Embedded Server
Solaris
Unix
Windows
LinuxLinux
macOS
Data schemeyesyesschema-free
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsyes: int, bigint, decimal, string
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 indexesyesyesnoall fields are automatically indexed
SQL infoSupport of SQLnoyesSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language
APIs and other access methodsRESTful HTTP APIADO.NET
C/C++ API
JDBC infoJaybird
ODBC
OLE DB
HTTP APIgRPC
HTTP REST
WebSocket
Supported programming languagesClojure
Java
C
C#
C++
Delphi
Java
JavaScript infoNode.js
Lua
Perl
PHP
Python
Ruby
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Java
Scala
Server-side scripts infoStored proceduresyes infoTransaction FunctionsPSQLyes, in Luano
TriggersBy using transaction functionsyesno
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneAutomatic, metric affinity per nodeSharding
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationconfigurable replication factor, datacenter aware
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnono
Concurrency infoSupport for concurrent manipulation of datayesyes infoFeatures a multi-generational MVCC architecture, readers do not block writersyesyes
Durability infoSupport for making data persistentyes infousing external storage systems (e.g. Cassandra, DynamoDB, PostgreSQL, Couchbase and others)yesyesUsing Apache Lucene
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 developmentno
User concepts infoAccess controlnoUsers with fine-grained authorization conceptno

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More resources
DatomicFirebirdIRONdbNSDb
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