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

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

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonRealm  Xexclude from comparisonSplice Machine  Xexclude from comparisonSTSdb  Xexclude from comparisonYDB  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionA 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 methodA distributed fault-tolerant database service, with high availability, scalability, immediate consistency and ACID transactions and providing an Amazon DynamoDB compatible API
Primary database modelTime Series DBMSDocument storeRelational DBMSKey-value storeDocument store
Relational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score0.35
Rank#278  Overall
#43  Document stores
#127  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/realm.iosplicemachine.comgithub.com/­STSSoft/­STSdb4github.com/­ydb-platform/­ydb
ydb.tech
Technical documentationdocs.circonus.com/irondb/category/getting-startedrealm.io/­docssplicemachine.com/­how-it-worksydb.tech/­en/­docs
DeveloperCirconus LLC.Realm, acquired by MongoDB in May 2019Splice MachineSTS Soft SCYandex
Initial release20172014201420112019
Current releaseV0.10.20, January 20183.1, March 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoAGPL 3.0, commercial license availableOpen Source infoGPLv2, commercial license availableOpen Source infoApache 2.0; 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 languageC and C++JavaC#
Server operating systemsLinuxAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
WindowsLinux
Data schemeschema-freeyesyesyesFlexible Schema (defined schema, partial schema, schema free)
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyes infoprimitive types and user defined types (classes)yes
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 indexesnoyesyesnoyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)noyesnoSQL-like query language (YQL)
APIs and other access methodsHTTP APIJDBC
Native Spark Datasource
ODBC
.NET Client APIRESTful HTTP API (DynamoDB compatible)
Supported programming languages.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
Go
Java
JavaScript (Node.js)
PHP
Python
Server-side scripts infoStored proceduresyes, in Luano inforuns within the applications so server-side scripts are unnecessaryyes infoJavanono
Triggersnoyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneShared Nothhing Auto-Sharding, Columnar PartitioningnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenoneMulti-source replication
Source-replica replication
noneActive-passive shard replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoYes, via Full Spark Integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes, multi-version concurrency control (MVCC)yesyes
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.noyes infoIn-Memory realmyesno
User concepts infoAccess controlnoyesAccess rights for users, groups and roles according to SQL-standardnoAccess rights defined for Yandex Cloud users

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More resources
IRONdbRealmSplice MachineSTSdbYDB
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