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DBMS > IRONdb vs. Sqrrl

System Properties Comparison IRONdb vs. Sqrrl

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Editorial information provided by DB-Engines
NameIRONdb  Xexclude from comparisonSqrrl  Xexclude from comparison
IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.Sqrrl has been acquired by Amazon and became a part of Amazon Web Services. It has been removed from the DB-Engines ranking.
DescriptionA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityAdaptable, secure NoSQL built on Apache Accumulo
Primary database modelTime Series DBMSDocument store
Graph DBMS
Key-value store
Wide column store
Websitewww.circonus.com/solutions/time-series-database/sqrrl.com
Technical documentationdocs.circonus.com/irondb/category/getting-started
DeveloperCirconus LLC.Amazon infooriginally Sqrrl Data, Inc.
Initial release20172012
Current releaseV0.10.20, January 2018
License infoCommercial or Open Sourcecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC and C++Java
Server operating systemsLinuxLinux
Data schemeschema-freeschema-free
Typing infopredefined data types such as float or dateyes infotext, numeric, histogramsyes
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.no
Secondary indexesnoyes
SQL infoSupport of SQLSQL-like query language (Circonus Analytics Query Language: CAQL)no
APIs and other access methodsHTTP APIAccumulo Shell
Java API
JDBC
ODBC
RESTful HTTP API
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
Actionscript
C infousing GLib
C#
C++
Cocoa
Delphi
Erlang
Go
Haskell
Java
JavaScript
OCaml
Perl
PHP
Python
Ruby
Smalltalk
Server-side scripts infoStored proceduresyes, in Luano
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesAutomatic, metric affinity per nodeSharding infomaking use of Hadoop
Replication methods infoMethods for redundantly storing data on multiple nodesconfigurable replication factor, datacenter awareselectable replication factor infomaking use of Hadoop
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate consistency per node, eventual consistency across nodesImmediate Consistency infoDocument store kept consistent with combination of global timestamping, row-level transactions, and server-side consistency resolution.
Foreign keys infoReferential integritynono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic updates per row, document, or graph entity
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.no
User concepts infoAccess controlnoCell-level Security, Data-Centric Security, Role-Based Access Control (RBAC), Attribute-Based Access Control (ABAC)

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More resources
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