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DBMS > Atos Standard Common Repository vs. Heroic vs. InfinityDB vs. Microsoft SQL Server

System Properties Comparison Atos Standard Common Repository vs. Heroic vs. InfinityDB vs. Microsoft SQL Server

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonHeroic  Xexclude from comparisonInfinityDB  Xexclude from comparisonMicrosoft SQL Server  Xexclude from comparison
This system has been discontinued and will be removed 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 Java embedded Key-Value Store which extends the Java Map interfaceMicrosofts flagship relational DBMS
Primary database modelDocument store
Key-value store
Time Series DBMSKey-value storeRelational 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
Score0.00
Rank#378  Overall
#57  Key-value stores
Score824.29
Rank#3  Overall
#3  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­spotify/­heroicboilerbay.comwww.microsoft.com/­en-us/­sql-server
Technical documentationspotify.github.io/­heroicboilerbay.com/­infinitydb/­manuallearn.microsoft.com/­en-US/­sql/­sql-server
DeveloperAtos Convergence CreatorsSpotifyBoiler Bay Inc.Microsoft
Initial release2016201420021989
Current release17034.0SQL Server 2022, November 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0commercialcommercial inforestricted free version is available
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaJavaC++
Server operating systemsLinuxAll OS with a Java VMLinux
Windows
Data schemeSchema and schema-less with LDAP viewsschema-freeyes infonested virtual Java Maps, multi-value, logical ‘tuple space’ runtime Schema upgradeyes
Typing infopredefined data types such as float or dateoptionalyesyes infoall Java primitives, Date, CLOB, BLOB, huge sparse arraysyes
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.yesnonoyes
Secondary indexesyesyes infovia Elasticsearchno infomanual creation possible, using inversions based on multi-value capabilityyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsLDAPHQL (Heroic Query Language, a JSON-based language)
HTTP API
Access via java.util.concurrent.ConcurrentNavigableMap Interface
Proprietary API to InfinityDB ItemSpace (boilerbay.com/­docs/­ItemSpaceDataStructures.htm)
ADO.NET
JDBC
ODBC
OLE DB
Tabular Data Stream (TDS)
Supported programming languagesAll languages with LDAP bindingsJavaC#
C++
Delphi
Go
Java
JavaScript (Node.js)
PHP
Python
R
Ruby
Visual Basic
Server-side scripts infoStored proceduresnononoTransact SQL, .NET languages, R, Python and (with SQL Server 2019) Java
Triggersyesnonoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingnonetables can be distributed across several files (horizontal partitioning); sharding through federation
Replication methods infoMethods for redundantly storing data on multiple nodesyesyesnoneyes, but depending on the SQL-Server Edition
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
Immediate Consistency
Immediate Consistency infoREAD-COMMITTED or SERIALIZEDImmediate Consistency
Foreign keys infoReferential integritynonono infomanual creation possible, using inversions based on multi-value capabilityyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACID infoOptimistic locking for transactions; no isolation for bulk loadsACID
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.yesnonoyes
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standard

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More resources
Atos Standard Common RepositoryHeroicInfinityDBMicrosoft SQL Server
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