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DBMS > Atos Standard Common Repository vs. BoltDB vs. Heroic vs. Microsoft Azure Synapse Analytics

System Properties Comparison Atos Standard Common Repository vs. BoltDB vs. Heroic vs. Microsoft Azure Synapse Analytics

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonBoltDB  Xexclude from comparisonHeroic  Xexclude from comparisonMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse  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 networksAn embedded key-value store for Go.Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchElastic, large scale data warehouse service leveraging the broad eco-system of SQL Server
Primary database modelDocument store
Key-value store
Key-value storeTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.74
Rank#220  Overall
#31  Key-value stores
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score20.56
Rank#31  Overall
#19  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­boltdb/­boltgithub.com/­spotify/­heroicazure.microsoft.com/­services/­synapse-analytics
Technical documentationspotify.github.io/­heroicdocs.microsoft.com/­azure/­synapse-analytics
DeveloperAtos Convergence CreatorsSpotifyMicrosoft
Initial release2016201320142016
Current release1703
License infoCommercial or Open SourcecommercialOpen Source infoMIT LicenseOpen Source infoApache 2.0commercial
Cloud-based only infoOnly available as a cloud servicenononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaGoJavaC++
Server operating systemsLinuxBSD
Linux
OS X
Solaris
Windows
hosted
Data schemeSchema and schema-less with LDAP viewsschema-freeschema-freeyes
Typing infopredefined data types such as float or dateoptionalnoyesyes
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
Secondary indexesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLnononoyes
APIs and other access methodsLDAPHQL (Heroic Query Language, a JSON-based language)
HTTP API
ADO.NET
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsGoC#
Java
PHP
Server-side scripts infoStored proceduresnononoTransact SQL
Triggersyesnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnoneShardingSharding, horizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneyesyes
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 configurationnoneEventual Consistency
Immediate Consistency
Immediate Consistency
Foreign keys infoReferential integritynononono infodocs.microsoft.com/­en-us/­azure/­synapse-analytics/­sql-data-warehouse/­sql-data-warehouse-table-constraints
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsyesnoACID
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.yesnono
User concepts infoAccess controlLDAP bind authenticationnoyes

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More resources
Atos Standard Common RepositoryBoltDBHeroicMicrosoft Azure Synapse Analytics infopreviously named Azure SQL Data Warehouse
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