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

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

Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonMicrosoft Azure SQL Database infoformerly SQL Azure  Xexclude from comparisonScyllaDB  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonVertica infoOpenText™ Vertica™  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 networksDatabase as a Service offering with high compatibility to Microsoft SQL ServerCassandra and DynamoDB compatible wide column storeA high performance, scalable Wide Column DBMSCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument store
Key-value store
Relational DBMSWide column storeWide column storeRelational DBMS infoColumn oriented
Secondary database modelsDocument store
Graph DBMS
Spatial DBMS
Key-value storeTime Series DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
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
Score11.40
Rank#43  Overall
#27  Relational DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositoryazure.microsoft.com/­en-us/­products/­azure-sql/­databasewww.scylladb.comgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
www.vertica.com
Technical documentationdocs.microsoft.com/­en-us/­azure/­azure-sqldocs.scylladb.comvertica.com/­documentation
DeveloperAtos Convergence CreatorsMicrosoftScyllaDBAlex KashirinOpenText infopreviously Micro Focus and Hewlett Packard
Initial release20162010201520202005
Current release1703V12ScyllaDB Open Source 5.4.1, January 20240.5, April 202112.0.3, January 2023
License infoCommercial or Open SourcecommercialcommercialOpen Source infoOpen Source (AGPL), commercial license availableOpen Source infoGPL V3commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenoyesnonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
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++C++
Server operating systemsLinuxhostedLinuxLinuxLinux
Data schemeSchema and schema-less with LDAP viewsyesschema-freeschema-freeYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typing infopredefined data types such as float or dateoptionalyesyesyes
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.yesyesnonono
Secondary indexesyesyesyes infocluster global secondary indicesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoyesSQL-like DML and DDL statements (CQL)SQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsLDAPADO.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
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesAll languages with LDAP bindings.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++C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoTransact SQLyes, Luanoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesyesnonoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionShardingShardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesyes, with always 3 replicas availableselectable replication factor infoRepresentation of geographical distribution of servers is possibleMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsnononono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Tunable Consistency infocan be individually decided for each write operation
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDno infoAtomicity and isolation are supported for single operationsACID
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.yesyes infoin-memory tablesnono
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standardAccess rights for users can be defined per objectfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
Atos Standard Common RepositoryMicrosoft Azure SQL Database infoformerly SQL AzureScyllaDBSWC-DB infoSuper Wide Column DatabaseVertica infoOpenText™ Vertica™
Specific characteristicsScyllaDB is engineered to deliver predictable performance at scale. It’s adopted...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesHighly-performant (efficiently utilizes full resources of a node and network; millions...
» more
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» more
Typical application scenariosScyllaDB is ideal for applications that require high throughput and low latency at...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersDiscord, Epic Games, Expedia, Zillow, Comcast, Disney+ Hotstar, Samsung, ShareChat,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» 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
Cost-based models and subscription-based models are both available. One license is...
» more

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More resources
Atos Standard Common RepositoryMicrosoft Azure SQL Database infoformerly SQL AzureScyllaDBSWC-DB infoSuper Wide Column DatabaseVertica infoOpenText™ Vertica™
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