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DBMS > IRONdb vs. NuoDB vs. Spark SQL vs. SQLite vs. TDSQL for MySQL

System Properties Comparison IRONdb vs. NuoDB vs. Spark SQL vs. SQLite vs. TDSQL for MySQL

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonNuoDB  Xexclude from comparisonSpark SQL  Xexclude from comparisonSQLite  Xexclude from comparisonTDSQL for MySQL  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 simplicityNuoDB is a webscale distributed database that supports SQL and ACID transactionsSpark SQL is a component on top of 'Spark Core' for structured data processingWidely used embeddable, in-process RDBMSA high-performance distributed database management system with features such as automatic sharding, intelligent operation and maintenance, elastic scalability without downtime, and enterprise-grade security. It is highly compatible with MySQL.
Primary database modelTime Series DBMSRelational DBMSRelational DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.89
Rank#198  Overall
#92  Relational DBMS
Score18.96
Rank#33  Overall
#20  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score0.85
Rank#205  Overall
#95  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/www.3ds.com/­nuodb-distributed-sql-databasespark.apache.org/­sqlwww.sqlite.orgwww.tencentcloud.com/­products/­dcdb
Technical documentationdocs.circonus.com/irondb/category/getting-starteddoc.nuodb.comspark.apache.org/­docs/­latest/­sql-programming-guide.htmlwww.sqlite.org/­docs.htmlwww.tencentcloud.com/­document/­product/­1042
DeveloperCirconus LLC.Dassault Systèmes infooriginally NuoDB, Inc.Apache Software FoundationDwayne Richard HippTencent
Initial release20172013201420002013
Current releaseV0.10.20, January 20183.5.0 ( 2.13), September 20233.46.0  (23 May 2024), May 2024
License infoCommercial or Open Sourcecommercialcommercial infolimited edition freeOpen Source infoApache 2.0Open Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++C++ScalaC
Server operating systemsLinuxhosted infoAmazon EC2, Windows Azure, SoftLayer
Linux
OS X
Windows
Linux
OS X
Windows
server-lesshosted
Data schemeschema-freeyesyesyes infodynamic column typesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyesyes infonot rigid because of 'dynamic typing' concept.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.nonononono
Secondary indexesnoyesnoyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like DML and DDL statementsyes infoSQL-92 is not fully supportedyes
APIs and other access methodsHTTP APIADO.NET
JDBC
ODBC
JDBC
ODBC
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
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
.Net
C
C++
Go
Java
JavaScript
JavaScript (Node.js)
PHP
Python
Ruby
Java
Python
R
Scala
Actionscript
Ada
Basic
C
C#
C++
D
Delphi
Forth
Fortran
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Objective-C
OCaml
Perl
PHP
PL/SQL
Python
R
Ruby
Scala
Scheme
Smalltalk
Tcl
C
C#
C++
Java
PHP
Python
Ruby
Server-side scripts infoStored proceduresyes, in LuaJava, SQLnonoyes
Triggersnoyesnoyesyes
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodedata is dynamically stored/cached on the nodes where it is read/writtenyes, utilizing Spark CorenoneAutomatic sharding
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareyes infoManaged transparently by NuoDBnonenoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID infotunable commit protocolnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes infoMVCCyesyes infovia file-system locksyes
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 infoTemporary tablenoyesno
User concepts infoAccess controlnoStandard SQL roles/ privileges, Administrative UsersnonoUsers with fine-grained authorization concept

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IRONdbNuoDBSpark SQLSQLiteTDSQL for MySQL
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