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DBMS > Atos Standard Common Repository vs. Blueflood vs. IRONdb vs. Rockset vs. Spark SQL

System Properties Comparison Atos Standard Common Repository vs. Blueflood vs. IRONdb vs. Rockset vs. Spark SQL

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBlueflood  Xexclude from comparisonIRONdb  Xexclude from comparisonRockset  Xexclude from comparisonSpark SQL  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.IRONdb seems to be discontinued. Therefore it is excluded from the DB-Engines Ranking.
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksScalable TimeSeries DBMS based on CassandraA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityA scalable, reliable search and analytics service in the cloud, built on RocksDBSpark SQL is a component on top of 'Spark Core' for structured data processing
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMSDocument storeRelational DBMS
Secondary database modelsRelational DBMS
Search engine
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.06
Rank#353  Overall
#34  Time Series DBMS
Score0.79
Rank#211  Overall
#35  Document stores
Score18.96
Rank#33  Overall
#20  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryblueflood.iowww.circonus.com/solutions/time-series-database/rockset.comspark.apache.org/­sql
Technical documentationgithub.com/­rax-maas/­blueflood/­wikidocs.circonus.com/irondb/category/getting-starteddocs.rockset.comspark.apache.org/­docs/­latest/­sql-programming-guide.html
DeveloperAtos Convergence CreatorsRackspaceCirconus LLC.RocksetApache Software Foundation
Initial release20162013201720192014
Current release1703V0.10.20, January 20183.5.0 ( 2.13), September 2023
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercialOpen Source infoApache 2.0
Cloud-based only infoOnly available as a cloud servicenononoyesno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++C++Scala
Server operating systemsLinuxLinux
OS X
LinuxhostedLinux
OS X
Windows
Data schemeSchema and schema-less with LDAP viewspredefined schemeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalyesyes infotext, numeric, histogramsdynamic typingyes
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.yesnonono infoingestion from XML files supportedno
Secondary indexesyesnonoall fields are automatically indexedno
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)Read-only SQL queries, including JOINsSQL-like DML and DDL statements
APIs and other access methodsLDAPHTTP RESTHTTP APIHTTP RESTJDBC
ODBC
Supported programming languagesAll languages with LDAP bindings.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Lua
Perl
PHP
Python
R
Ruby
Rust
Scala
Go
Java
JavaScript (Node.js)
Python
Java
Python
R
Scala
Server-side scripts infoStored proceduresnonoyes, in Luanono
Triggersyesnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infobased on CassandraAutomatic, metric affinity per nodeAutomatic shardingyes, utilizing Spark Core
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factor infobased on Cassandraconfigurable replication factor, datacenter awareyesnone
MapReduce infoOffers an API for user-defined Map/Reduce methodsnonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency infobased on Cassandra
Immediate Consistency infobased on Cassandra
Immediate consistency per node, eventual consistency across nodesEventual Consistency
Foreign keys infoReferential integritynonononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnononono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonono
User concepts infoAccess controlLDAP bind authenticationnonoAccess rights for users and organizations can be defined via Rockset consoleno

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More resources
Atos Standard Common RepositoryBluefloodIRONdbRocksetSpark SQL
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