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DBMS > Datomic vs. InterSystems Caché vs. IRONdb vs. RocksDB vs. SQL.JS

System Properties Comparison Datomic vs. InterSystems Caché vs. IRONdb vs. RocksDB vs. SQL.JS

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonInterSystems Caché  Xexclude from comparisonIRONdb  Xexclude from comparisonRocksDB  Xexclude from comparisonSQL.JS  Xexclude from comparison
Caché is a deprecated database engine which is substituted with InterSystems IRIS. It therefore is removed from the DB-Engines Ranking.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 multi-model DBMS and application serverA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEmbeddable persistent key-value store optimized for fast storage (flash and RAM)Port of SQLite to JavaScript
Primary database modelRelational DBMSKey-value store
Object oriented DBMS
Relational DBMS
Time Series DBMSKey-value storeRelational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.59
Rank#150  Overall
#69  Relational DBMS
Score3.65
Rank#85  Overall
#11  Key-value stores
Score0.53
Rank#252  Overall
#116  Relational DBMS
Websitewww.datomic.comwww.intersystems.com/­products/­cachewww.circonus.com/solutions/time-series-database/rocksdb.orgsql.js.org
Technical documentationdocs.datomic.comdocs.intersystems.comdocs.circonus.com/irondb/category/getting-startedgithub.com/­facebook/­rocksdb/­wikisql.js.org/­documentation/­index.html
DeveloperCognitectInterSystemsCirconus LLC.Facebook, Inc.Alon Zakai infoenhancements implemented by others
Initial release20121997201720132012
Current release1.0.6735, June 20232018.1.4, May 2020V0.10.20, January 20188.11.4, April 2024
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialcommercialOpen Source infoBSDOpen Source
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJava, ClojureC and C++C++JavaScript
Server operating systemsAll OS with a Java VMAIX
HP Open VMS
HP-UX
Linux
OS X
Solaris
Windows
LinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js)
Data schemeyesdepending on used data modelschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyesyes infotext, numeric, histogramsnoyes
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.noyesnonono
Secondary indexesyesyesnono
SQL infoSupport of SQLnoyesSQL-like query language (Circonus Analytics Query Language: CAQL)noyes infoSQL-92 is not fully supported
APIs and other access methodsRESTful HTTP API.NET Client API
JDBC
ODBC
RESTful HTTP API
HTTP APIC++ API
Java API
JavaScript API
Supported programming languagesClojure
Java
C#
C++
Java
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
C
C++
Go
Java
Perl
Python
Ruby
JavaScript
Server-side scripts infoStored proceduresyes infoTransaction Functionsyesyes, in Luanono
TriggersBy using transaction functionsyesnono
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersnoneAutomatic, metric affinity per nodehorizontal partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersSource-replica replicationconfigurable replication factor, datacenter awareyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesnone
Foreign keys infoReferential integritynoyesnonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDnoyesACID
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)yesyesyesno infoexcept by serializing a db to a file
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 developmentyesnoyesyes
User concepts infoAccess controlnoAccess rights for users, groups and rolesnonono

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More resources
DatomicInterSystems CachéIRONdbRocksDBSQL.JS
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