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DBMS > IRONdb vs. JaguarDB vs. OushuDB vs. Splice Machine vs. StarRocks

System Properties Comparison IRONdb vs. JaguarDB vs. OushuDB vs. Splice Machine vs. StarRocks

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonJaguarDB  Xexclude from comparisonOushuDB  Xexclude from comparisonSplice Machine  Xexclude from comparisonStarRocks  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 simplicityPerformant, highly scalable DBMS for AI and IoT applicationsA data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningOpen-Source SQL RDBMS for Operational and Analytical use cases with native Machine Learning, powered by Hadoop and SparkAn open source, high-performance columnar analytical database that enables real-time, multi-dimensional, and highly concurrent data analytics infoForked from Apache Doris
Primary database modelTime Series DBMSKey-value store
Vector DBMS
Relational DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#381  Overall
#59  Key-value stores
#13  Vector DBMS
Score0.10
Rank#355  Overall
#154  Relational DBMS
Score0.54
Rank#252  Overall
#115  Relational DBMS
Score0.93
Rank#198  Overall
#93  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/www.jaguardb.comwww.oushu.com/­product/­oushuDBsplicemachine.comwww.starrocks.io
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.jaguardb.com/­support.htmlwww.oushu.com/­documentationsplicemachine.com/­how-it-worksdocs.starrocks.io/­en-us/­latest/­introduction/­StarRocks_intro
DeveloperCirconus LLC.DataJaguar, Inc.OushuSplice MachineThe Linux Foundation infosince Feb 2023
Initial release2017201520142020
Current releaseV0.10.20, January 20183.3 July 20234.0.1, August 20203.1, March 20212.5.3, March 2023
License infoCommercial or Open SourcecommercialOpen Source infoGPL V3.0commercialOpen Source infoAGPL 3.0, commercial license availableOpen Source infoApache Version 2.0
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++C++ infothe server part. Clients available in other languagesJavaC++, Java
Server operating systemsLinuxLinuxLinuxLinux
OS X
Solaris
Windows
Linux
Data schemeschema-freeyesyesyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyesyes
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 indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)A subset of ANSI SQL is implemented infobut no views, foreign keys, triggersFull-featured ANSI SQL supportyesyes
APIs and other access methodsHTTP APIJDBC
ODBC
JDBC
ODBC
JDBC
Native Spark Datasource
ODBC
JDBC
MySQL protocol
Supported programming languages.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
JavaScript (Node.js)
PHP
Python
Ruby
Scala
C
C++
C#
C++
Java
JavaScript (Node.js)
Python
R
Scala
Java
Server-side scripts infoStored proceduresyes, in Luanoyesyes infoJavauser defined functions
Triggersnonoyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeShardingyesShared Nothhing Auto-Sharding, Columnar Partitioninghorizontal partitioning (by range and hash)
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareMulti-source replicationMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonoHadoop integrationYes, via Full Spark Integrationno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesEventual ConsistencyImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanonoACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes, 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.nonoyesno
User concepts infoAccess controlnorights management via user accountsKerberos, SSL and role based accessAccess rights for users, groups and roles according to SQL-standardRole based access control and fine grained access rights

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More resources
IRONdbJaguarDBOushuDBSplice MachineStarRocks
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