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DBMS > IRONdb vs. Kyligence Enterprise vs. OrigoDB vs. Transwarp StellarDB

System Properties Comparison IRONdb vs. Kyligence Enterprise vs. OrigoDB vs. Transwarp StellarDB

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonKyligence Enterprise  Xexclude from comparisonOrigoDB  Xexclude from comparisonTranswarp StellarDB  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 distributed analytics engine for big data, built on top of Apache KylinA fully ACID in-memory object graph databaseA distributed graph DBMS built for enterprise-level graph applications
Primary database modelTime Series DBMSRelational DBMSDocument store
Object oriented DBMS
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.46
Rank#266  Overall
#124  Relational DBMS
Score0.06
Rank#380  Overall
#50  Document stores
#19  Object oriented DBMS
Score0.07
Rank#371  Overall
#39  Graph DBMS
Websitewww.circonus.com/solutions/time-series-database/kyligence.io/­kyligence-enterpriseorigodb.comwww.transwarp.cn/­en/­product/­stellardb
Technical documentationdocs.circonus.com/irondb/category/getting-startedorigodb.com/­docs
DeveloperCirconus LLC.Kyligence, Inc.Robert Friberg et alTranswarp
Initial release201720162009 infounder the name LiveDB
Current releaseV0.10.20, January 2018
License infoCommercial or Open SourcecommercialcommercialOpen Sourcecommercial
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC and C++JavaC#
Server operating systemsLinuxLinuxLinux
Windows
Data schemeschema-freeyesyes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesUser defined using .NET types and collections
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 infocan be achieved using .NET
Secondary indexesnoyesyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)ANSI SQL for queries (using Apache Calcite)noSQL-like query language
APIs and other access methodsHTTP APIJDBC
ODBC
RESTful HTTP API
.NET Client API
HTTP API
LINQ
OpenCypher
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
Server-side scripts infoStored proceduresyes, in Luayes
Triggersnoyes infoDomain Events
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal partitioning infoclient side managed; servers are not synchronizedhorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynodepending on model
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyes infoWrite ahead logyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes
User concepts infoAccess controlnoRole based authorizationyes

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More resources
IRONdbKyligence EnterpriseOrigoDBTranswarp StellarDB
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