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

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

Editorial information provided by DB-Engines
NameBrytlyt  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.
DescriptionScalable GPU-accelerated RDBMS for very fast analytic and streaming workloads, leveraging PostgreSQLA 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 modelRelational DBMSTime Series DBMSDocument storeRelational DBMSKey-value store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#288  Overall
#131  Relational DBMS
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
Websitebrytlyt.iowww.circonus.com/solutions/time-series-database/realm.iosplicemachine.comgithub.com/­STSSoft/­STSdb4
Technical documentationdocs.brytlyt.iodocs.circonus.com/irondb/category/getting-startedrealm.io/­docssplicemachine.com/­how-it-works
DeveloperBrytlytCirconus LLC.Realm, acquired by MongoDB in May 2019Splice MachineSTS Soft SC
Initial release20162017201420142011
Current release5.0, August 2023V0.10.20, January 20183.1, March 20214.0.8, September 2015
License infoCommercial or Open SourcecommercialcommercialOpen 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 languageC, C++ and CUDAC and C++JavaC#
Server operating systemsLinux
OS X
Windows
LinuxAndroid
Backend: server-less
iOS
Windows
Linux
OS X
Solaris
Windows
Windows
Data schemeyesschema-freeyesyesyes
Typing infopredefined data types such as float or dateyesyes 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.yes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesyesnoyesyesno
SQL infoSupport of SQLyesSQL-like query language (Circonus Analytics Query Language: CAQL)noyesno
APIs and other access methodsADO.NET
JDBC
native C library
ODBC
streaming API for large objects
HTTP APIJDBC
Native Spark Datasource
ODBC
.NET Client API
Supported programming languages.Net
C
C++
Delphi
Java
Perl
Python
Tcl
.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 proceduresuser defined functions infoin PL/pgSQLyes, in Luano inforuns within the applications so server-side scripts are unnecessaryyes infoJavano
Triggersyesnoyes infoChange Listenersyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodenoneShared Nothhing Auto-Sharding, Columnar Partitioningnone
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replicationconfigurable 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 integrityyesnonoyesno
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.noyes infoIn-Memory realmyes
User concepts infoAccess controlfine grained access rights according to SQL-standardnoyesAccess rights for users, groups and roles according to SQL-standardno

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More resources
BrytlytIRONdbRealmSplice MachineSTSdb
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