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DBMS > Atos Standard Common Repository vs. Heroic vs. IRONdb vs. Lovefield vs. Microsoft Azure SQL Database

System Properties Comparison Atos Standard Common Repository vs. Heroic vs. IRONdb vs. Lovefield vs. Microsoft Azure SQL Database

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHeroic  Xexclude from comparisonIRONdb  Xexclude from comparisonLovefield  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  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 networksTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchA distributed Time Series DBMS with a focus on scalability, fault tolerance and operational simplicityEmbeddable relational database for web apps written in pure JavaScriptDatabase as a Service offering with high compatibility to Microsoft SQL Server
Primary database modelDocument store
Key-value store
Time Series DBMSTime Series DBMSRelational DBMSRelational DBMS
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score0.29
Rank#293  Overall
#133  Relational DBMS
Score77.99
Rank#16  Overall
#11  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­spotify/­heroicwww.circonus.com/solutions/time-series-database/google.github.io/­lovefieldazure.microsoft.com/­en-us/­products/­azure-sql/­database
Technical documentationspotify.github.io/­heroicdocs.circonus.com/irondb/category/getting-startedgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.mddocs.microsoft.com/­en-us/­azure/­azure-sql
DeveloperAtos Convergence CreatorsSpotifyCirconus LLC.GoogleMicrosoft
Initial release20162014201720142010
Current release1703V0.10.20, January 20182.1.12, February 2017V12
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenonononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaJavaC and C++JavaScriptC++
Server operating systemsLinuxLinuxserver-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safarihosted
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyesyes
Typing infopredefined data types such as float or dateoptionalyesyes infotext, numeric, histogramsyesyes
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.yesnononoyes
Secondary indexesyesyes infovia Elasticsearchnoyesyes
SQL infoSupport of SQLnonoSQL-like query language (Circonus Analytics Query Language: CAQL)SQL-like query language infovia JavaScript builder patternyes
APIs and other access methodsLDAPHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP APIADO.NET
JDBC
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
JavaScript.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonoyes, in LuanoTransact SQL
TriggersyesnonoUsing read-only observersyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingAutomatic, metric affinity per nodenone
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesconfigurable replication factor, datacenter awarenoneyes, with always 3 replicas available
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate consistency per node, eventual consistency across nodesImmediate Consistency
Foreign keys infoReferential integritynononoyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnonoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes, by using IndexedDB or the cloud service Firebase Realtime Databaseyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnonoyes infousing MemoryDB
User concepts infoAccess controlLDAP bind authenticationnonofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryHeroicIRONdbLovefieldMicrosoft Azure SQL Database infoformerly SQL Azure
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