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DBMS > IRONdb vs. SQream DB vs. SWC-DB vs. Tkrzw

System Properties Comparison IRONdb vs. SQream DB vs. SWC-DB vs. Tkrzw

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonSQream DB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet  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 GPU-based, columnar RDBMS for big data analytics workloadsA high performance, scalable Wide Column DBMSA concept of libraries, allowing an application program to store and query key-value pairs in a file. Successor of Tokyo Cabinet and Kyoto Cabinet
Primary database modelTime Series DBMSRelational DBMSWide column storeKey-value store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.62
Rank#234  Overall
#109  Relational DBMS
Score0.01
Rank#378  Overall
#13  Wide column stores
Score0.00
Rank#385  Overall
#61  Key-value stores
Websitewww.circonus.com/solutions/time-series-database/sqream.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
dbmx.net/­tkrzw
Technical documentationdocs.circonus.com/irondb/category/getting-starteddocs.sqream.com
DeveloperCirconus LLC.SQream TechnologiesAlex KashirinMikio Hirabayashi
Initial release2017201720202020
Current releaseV0.10.20, January 20182022.1.6, December 20220.5, April 20210.9.3, August 2020
License infoCommercial or Open SourcecommercialcommercialOpen Source infoGPL V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++C++, CUDA, Haskell, Java, ScalaC++C++
Server operating systemsLinuxLinuxLinuxLinux
macOS
Data schemeschema-freeyesschema-freeschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyes, ANSI Standard SQL Typesno
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 indexesnono
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)yesSQL-like query languageno
APIs and other access methodsHTTP API.Net
JDBC
ODBC
Proprietary protocol
Thrift
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
JavaScript (Node.js)
Python
C++C++
Java
Python
Ruby
Server-side scripts infoStored proceduresyes, in Luauser defined functions in Pythonnono
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodehorizontal and vertical partitioningShardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awarenonenone
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 integritynonono
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 persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.nonoyes infousing specific database classes
User concepts infoAccess controlnono

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More resources
IRONdbSQream DBSWC-DB infoSuper Wide Column DatabaseTkrzw infoSuccessor of Tokyo Cabinet and Kyoto Cabinet
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