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DBMS > Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database vs. ScyllaDB vs. SWC-DB

System Properties Comparison Atos Standard Common Repository vs. Microsoft Azure Data Explorer vs. Microsoft Azure SQL Database vs. ScyllaDB vs. SWC-DB

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure Data Explorer  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonScyllaDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  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 networksFully managed big data interactive analytics platformDatabase as a Service offering with high compatibility to Microsoft SQL ServerCassandra and DynamoDB compatible wide column storeA high performance, scalable Wide Column DBMS
Primary database modelDocument store
Key-value store
Relational DBMS infocolumn orientedRelational DBMSWide column storeWide column store
Secondary database modelsDocument store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Search engine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
Document store
Graph DBMS
Spatial DBMS
Key-value storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.16
Rank#69  Overall
#37  Relational DBMS
Score78.40
Rank#15  Overall
#10  Relational DBMS
Score5.27
Rank#67  Overall
#5  Wide column stores
Score0.01
Rank#387  Overall
#13  Wide column stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­services/­data-explorerazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.scylladb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.scylladb.com
DeveloperAtos Convergence CreatorsMicrosoftMicrosoftScyllaDBAlex Kashirin
Initial release20162019201020152020
Current release1703cloud service with continuous releasesV12ScyllaDB Open Source 5.4.1, January 20240.5, April 2021
License infoCommercial or Open SourcecommercialcommercialcommercialOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenoyesyesnono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Scylla Cloud: Create real-time applications that run at global scale with Scylla Cloud, the industry’s most powerful NoSQL DBaaS
Implementation languageJavaC++C++C++
Server operating systemsLinuxhostedhostedLinuxLinux
Data schemeSchema and schema-less with LDAP viewsFixed schema with schema-less datatypes (dynamic)yesschema-freeschema-free
Typing infopredefined data types such as float or dateoptionalyes infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesyesyes
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.yesyesyesnono
Secondary indexesyesall fields are automatically indexedyesyes infocluster global secondary indices
SQL infoSupport of SQLnoKusto Query Language (KQL), SQL subsetyesSQL-like DML and DDL statements (CQL)SQL-like query language
APIs and other access methodsLDAPMicrosoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
ADO.NET
JDBC
ODBC
Proprietary protocol (CQL) infocompatible with CQL (Cassandra Query Language, an SQL-like language)
RESTful HTTP API (DynamoDB compatible)
Thrift
Proprietary protocol
Thrift
Supported programming languagesAll languages with LDAP bindings.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
.Net
C#
Java
JavaScript (Node.js)
PHP
Python
Ruby
For CQL interface: C#, C++, Clojure, Erlang, Go, Haskell, Java, JavaScript, Node.js, Perl, PHP, Python, Ruby, Rust, Scala
For DynamoDB interface: .Net, ColdFusion, Erlang, Groovy, Java, JavaScript, Perl, PHP, Python, Ruby
C++
Server-side scripts infoStored proceduresnoYes, possible languages: KQL, Python, RTransact SQLyes, Luano
Triggersyesyes infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicyyesnono
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionSharding infoImplicit feature of the cloud serviceShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.yes, with always 3 replicas availableselectable replication factor infoRepresentation of geographical distribution of servers is possible
MapReduce infoOffers an API for user-defined Map/Reduce methodsSpark connector (open source): github.com/­Azure/­azure-kusto-sparknonono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate Consistency
Foreign keys infoReferential integritynonoyesno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDno infoAtomicity and isolation are supported for single operations
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.yesnoyes infoin-memory tablesno
User concepts infoAccess controlLDAP bind authenticationAzure Active Directory Authenticationfine grained access rights according to SQL-standardAccess rights for users can be defined per object
More information provided by the system vendor
Atos Standard Common RepositoryMicrosoft Azure Data ExplorerMicrosoft Azure SQL Database infoformerly SQL AzureScyllaDBSWC-DB infoSuper Wide Column Database
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Market metricsScyllaDB typically offers ~75% total cost of ownership savings, with ~5X higher throughput...
» more
Licensing and pricing modelsScyllaDB Open Source - free open source software (AGPL) ScyllaDB Enterprise - subscription-based...
» more

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More resources
Atos Standard Common RepositoryMicrosoft Azure Data ExplorerMicrosoft Azure SQL Database infoformerly SQL AzureScyllaDBSWC-DB infoSuper Wide Column Database
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