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DBMS > Immudb vs. IRONdb vs. Realm vs. Splice Machine vs. STSdb

System Properties Comparison Immudb vs. IRONdb vs. Realm vs. Splice Machine vs. STSdb

Editorial information provided by DB-Engines
NameImmudb  Xexclude from comparisonIRONdb  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionAn open source immutable (append-only) database with cryptographic verification which makes it tamper-resistant and fully auditable.A distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core DataOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkKey-Value Store with special method for indexing infooptimized for high performance using a special indexing method
Primary database modelKey-value storeTime Series DBMSDocument storeRelational DBMSKey-value store
Secondary database modelsRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.24
Rank#305  Overall
#43  Key-value stores
Score7.60
Rank#52  Overall
#9  Document stores
Score0.54
Rank#250  Overall
#114  Relational DBMS
Score0.04
Rank#360  Overall
#52  Key-value stores
Websitegithub.com/­codenotary/­immudb
immudb.io
www.circonus.com/solutions/time-series-database/realm.iosplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.immudb.iodocs.circonus.com/irondb/category/getting-startedrealm.io/­docssplicemachine.com/­how-it-works
DeveloperCodenotaryCirconus LLC.Realm, acquired by MongoDB in May 2019Splice MachineSTS Soft SC
Initial release20202017201420142011
Current release1.2.3, April 2022V0.10.20, January 20183.1, March 20214.0.8, September 2015
License infoCommercial or Open SourceOpen Source infoApache Version 2.0commercialOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license available
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 languageGoC and C++JavaC#
Server operating systemsBSD
Linux
macOS
Solaris
Windows
z/OS
LinuxAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemeschema-freeschema-freeyesyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyes infoprimitive types and user defined types (classes)
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 indexesyesnoyesyesno
SQL infoSupport of SQLSQL-like syntaxSQL-like query language (Circonus Analytics Query Language: CAQL)noyesno
APIs and other access methodsgRPC protocol
PostgreSQL wire protocol
HTTP APIJDBC
Native Spark Datasource
ODBC
.NET Client API
Supported programming languages.Net
Go
Java
JavaScript (Node.js)
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Java infowith Android only
Objective-C
React Native
Swift
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
C#
Java
Server-side scripts infoStored proceduresnoyes, in Luano inforuns within the applications so server-side scripts are unnecessaryyes infoJavano
Triggersnonoyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesShardingAutomatic, metric affinity per nodenoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneMulti-source replication
Source-replica replication
none
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononoYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynononoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes, multi-version concurrency control (MVCC)yes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infoIn-Memory realmyes
User concepts infoAccess controlnoyesAccess rights for users, groups and roles according to SQL-standardno

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More resources
ImmudbIRONdbRealmSplice MachineSTSdb
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