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DBMS > IRONdb vs. openGauss vs. Spark SQL

System Properties Comparison IRONdb vs. openGauss vs. Spark SQL

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonopenGauss  Xexclude from comparisonSpark SQL  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 simplicityAn enterprise-class RDBMS compatible with high-performance, high-availability and high-performance originally developed by HuaweiSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.08
Rank#183  Overall
#84  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/gitee.com/­opengauss
opengauss.org
spark.apache.org/­sql
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.opengauss.org/­en
gitee.com/­opengauss/­docs
spark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperCirconus LLC.Huawei and openGauss communityApache Software Foundation
Initial release201720192014
Current releaseV0.10.20, January 20183.0, March 20223.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen SourceOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C, C++, JavaScala
Server operating systemsLinuxLinuxLinux
OS X
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyes
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 indexesnoyesno
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)ANSI SQL 2011SQL-like DML and DDL statements
APIs and other access methodsHTTP APIJDBC
ODBC
JDBC
ODBC
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++
Java
Java
Python
R
Scala
Server-side scripts infoStored proceduresyes, in Luayesno
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal partitioning (by range, list and hash)yes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replicationnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonono
User concepts infoAccess controlnoAccess rights for users, groups and roles according to SQL-standardno

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More resources
IRONdbopenGaussSpark SQL
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