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DBMS > IRONdb vs. OushuDB vs. PostgreSQL vs. SQLite vs. TimesTen

System Properties Comparison IRONdb vs. OushuDB vs. PostgreSQL vs. SQLite vs. TimesTen

Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonOushuDB  Xexclude from comparisonPostgreSQL  Xexclude from comparisonSQLite  Xexclude from comparisonTimesTen  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 data warehouse powered by Apache HAWQ supporting descriptive analysis and advanced machine learningWidely used open source RDBMS infoDeveloped as objectoriented DBMS (Postgres), gradually enhanced with 'standards' like SQLWidely used embeddable, in-process RDBMSIn-Memory RDBMS compatible to Oracle
Primary database modelTime Series DBMSRelational DBMSRelational DBMS infowith object oriented extensions, e.g.: user defined types/functions and inheritance. Handling of key/value pairs with hstore module.Relational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS infowith Apache Age
Spatial DBMS
Vector DBMS infowith pgvector extension
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.04
Rank#363  Overall
#154  Relational DBMS
Score645.54
Rank#4  Overall
#4  Relational DBMS
Score114.32
Rank#10  Overall
#7  Relational DBMS
Score1.31
Rank#163  Overall
#74  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/www.oushu.com/­product/­oushuDBwww.postgresql.orgwww.sqlite.orgwww.oracle.com/­database/­technologies/­related/­timesten.html
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.oushu.com/­documentationwww.postgresql.org/­docswww.sqlite.org/­docs.htmldocs.oracle.com/­database/­timesten-18.1
DeveloperCirconus LLC.OushuPostgreSQL Global Development Group infowww.postgresql.org/­developerDwayne Richard HippOracle, TimesTen Performance Software, HP infooriginally founded in HP Labs it was acquired by Oracle in 2005
Initial release20171989 info1989: Postgres, 1996: PostgreSQL20001998
Current releaseV0.10.20, January 20184.0.1, August 202016.3, May 20243.45.3  (15 April 2024), April 202411 Release 2 (11.2.2.8.0)
License infoCommercial or Open SourcecommercialcommercialOpen Source infoBSDOpen Source infoPublic Domaincommercial
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++CC
Server operating systemsLinuxLinuxFreeBSD
HP-UX
Linux
NetBSD
OpenBSD
OS X
Solaris
Unix
Windows
server-lessAIX
HP-UX
Linux
OS X
Solaris SPARC/x86
Windows
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.noyes infospecific XML-type available, but no XML query functionality.nono
Secondary indexesnoyesyesyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)Full-featured ANSI SQL supportyes infostandard with numerous extensionsyes infoSQL-92 is not fully supportedyes
APIs and other access methodsHTTP APIJDBC
ODBC
ADO.NET
JDBC
native C library
ODBC
streaming API for large objects
ADO.NET infoinofficial driver
JDBC infoinofficial driver
ODBC infoinofficial driver
JDBC
ODBC
ODP.NET
Oracle Call Interface (OCI)
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++
.Net
C
C++
Delphi
Java infoJDBC
JavaScript (Node.js)
Perl
PHP
Python
Tcl
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++
Java
PL/SQL
Server-side scripts infoStored proceduresyes, in Luayesuser defined functions inforealized in proprietary language PL/pgSQL or with common languages like Perl, Python, Tcl etc.noPL/SQL
Triggersnoyesyesyesno
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeyespartitioning by range, list and (since PostgreSQL 11) by hashnonenone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replication infoother methods possible by using 3rd party extensionsnoneMulti-source replication
Source-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoHadoop integrationnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate ConsistencyImmediate Consistency or Eventual Consistency depending on configuration
Foreign keys infoReferential integritynoyesyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infovia file-system locksyes
Durability infoSupport for making data persistentyesyesyesyesyes infoby means of logfiles and checkpoints
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyesyes
User concepts infoAccess controlnoKerberos, SSL and role based accessfine grained access rights according to SQL-standardnofine grained access rights according to SQL-standard

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IRONdbOushuDBPostgreSQLSQLiteTimesTen
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