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DBMS > Datomic vs. IRONdb vs. NSDb vs. Realm vs. SAP SQL Anywhere

System Properties Comparison Datomic vs. IRONdb vs. NSDb vs. Realm vs. SAP SQL Anywhere

Editorial information provided by DB-Engines
NameDatomic  Xexclude from comparisonIRONdb  Xexclude from comparisonNSDb  Xexclude from comparisonRealm  Xexclude from comparisonSAP SQL Anywhere infoformerly called Adaptive Server Anywhere  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 simplicityScalable, High-performance Time Series DBMS designed for Real-time Analytics on top of KubernetesA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataRDBMS database and synchronization technologies for server, desktop, remote office, and mobile environments
Primary database modelRelational DBMSTime Series DBMSTime Series DBMSDocument storeRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.76
Rank#145  Overall
#66  Relational DBMS
Score0.00
Rank#396  Overall
#42  Time Series DBMS
Score7.71
Rank#52  Overall
#9  Document stores
Score4.57
Rank#78  Overall
#43  Relational DBMS
Websitewww.datomic.comwww.circonus.com/solutions/time-series-database/nsdb.iorealm.iowww.sap.com/­products/­technology-platform/­sql-anywhere.html
Technical documentationdocs.datomic.comdocs.circonus.com/irondb/category/getting-startednsdb.io/­Architecturerealm.io/­docshelp.sap.com/­docs/­SAP_SQL_Anywhere
DeveloperCognitectCirconus LLC.Realm, acquired by MongoDB in May 2019SAP infoformerly Sybase
Initial release20122017201720141992
Current release1.0.6735, June 2023V0.10.20, January 201817, July 2015
License infoCommercial or Open Sourcecommercial infolimited edition freecommercialOpen Source infoApache Version 2.0Open Sourcecommercial
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++Java, Scala
Server operating systemsAll OS with a Java VMLinuxLinux
macOS
Android
Backend: server-less
iOS
Windows
AIX
HP-UX
Linux
OS X
Solaris
Windows
Data schemeyesschema-freeyesyes
Typing infopredefined data types such as float or dateyesyes infotext, numeric, histogramsyes: int, bigint, decimal, stringyesyes
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.nonononoyes
Secondary indexesyesnoall fields are automatically indexedyesyes
SQL infoSupport of SQLnoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query languagenoyes
APIs and other access methodsRESTful HTTP APIHTTP APIgRPC
HTTP REST
WebSocket
ADO.NET
HTTP API
JDBC
ODBC
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
Java
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
C
C#
C++
Delphi
Java
JavaScript (Node.js)
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes infoTransaction Functionsyes, in Luanono inforuns within the applications so server-side scripts are unnecessaryyes, in C/C++, Java, .Net or Perl
TriggersBy using transaction functionsnoyes infoChange Listenersyes
Partitioning methods infoMethods for storing different data on different nodesnone infoBut extensive use of caching in the application peersAutomatic, metric affinity per nodeShardingnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesnone infoBut extensive use of caching in the application peersconfigurable replication factor, datacenter awarenoneSource-replica replication infoDatabase mirroring
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonononoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnonoACIDACID
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)yesUsing Apache Luceneyesyes
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 infoIn-Memory realmyes
User concepts infoAccess controlnonoyesfine grained access rights according to SQL-standard

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More resources
DatomicIRONdbNSDbRealmSAP SQL Anywhere infoformerly called Adaptive Server Anywhere
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