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DBMS > IRONdb vs. LeanXcale vs. Oracle Rdb vs. SQream DB

System Properties Comparison IRONdb vs. LeanXcale vs. Oracle Rdb vs. SQream DB

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonLeanXcale  Xexclude from comparisonOracle Rdb  Xexclude from comparisonSQream DB  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 highly scalable full ACID SQL database with fast NoSQL data ingestion and GIS capabilitiesa GPU-based, columnar RDBMS for big data analytics workloads
Primary database modelTime Series DBMSKey-value store
Relational DBMS
Relational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.29
Rank#291  Overall
#41  Key-value stores
#132  Relational DBMS
Score1.08
Rank#184  Overall
#85  Relational DBMS
Score0.70
Rank#227  Overall
#104  Relational DBMS
Websitewww.circonus.com/solutions/time-series-database/www.leanxcale.comwww.oracle.com/­database/­technologies/­related/­rdb.htmlsqream.com
Technical documentationdocs.circonus.com/irondb/category/getting-startedwww.oracle.com/­database/­technologies/­related/­rdb-doc.htmldocs.sqream.com
DeveloperCirconus LLC.LeanXcaleOracle, originally developed by Digital Equipment Corporation (DEC)SQream Technologies
Initial release2017201519842017
Current releaseV0.10.20, January 20187.4.1.1, 20212022.1.6, December 2022
License infoCommercial or Open Sourcecommercialcommercialcommercialcommercial
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++C++, CUDA, Haskell, Java, Scala
Server operating systemsLinuxHP Open VMSLinux
Data schemeschema-freeyesFlexible Schema (defined schema, partial schema, schema free)yes
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyesyes, ANSI Standard SQL Types
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.nono
Secondary indexesnoyesno
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yes infothrough Apache Derbyyesyes
APIs and other access methodsHTTP APIJDBC
Kafka Connector
ODBC
proprietary key/value interface
Spark Connector
.Net
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
Java
Scala
C++
Java
JavaScript (Node.js)
Python
Server-side scripts infoStored proceduresyes, in Luauser defined functions in Python
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal and vertical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenone
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoACIDyes, on a single nodeACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyesno
User concepts infoAccess controlno

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More resources
IRONdbLeanXcaleOracle RdbSQream DB
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