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DBMS > Atos Standard Common Repository vs. Vertica vs. Warp 10 vs. Yaacomo

System Properties Comparison Atos Standard Common Repository vs. Vertica vs. Warp 10 vs. Yaacomo

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonWarp 10  Xexclude from comparisonYaacomo  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.Yaacomo seems to be discontinued and is removed from the DB-Engines ranking
DescriptionHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksCloud 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.TimeSeries DBMS specialized on timestamped geo data based on LevelDB or HBaseOpenCL based in-memory RDBMS, designed for efficiently utilizing the hardware via parallel computing
Primary database modelDocument store
Key-value store
Relational DBMS infoColumn orientedTime Series DBMSRelational DBMS
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score10.68
Rank#43  Overall
#27  Relational DBMS
Score0.07
Rank#349  Overall
#32  Time Series DBMS
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorywww.vertica.comwww.warp10.ioyaacomo.com
Technical documentationvertica.com/­documentationwww.warp10.io/­content/­02_Getting_started
DeveloperAtos Convergence CreatorsOpenText infopreviously Micro Focus and Hewlett PackardSenXQ2WEB GmbH
Initial release2016200520152009
Current release170312.0.3, January 2023
License infoCommercial or Open Sourcecommercialcommercial infoLimited community edition freeOpen Source infoApache License 2.0commercial
Cloud-based only infoOnly available as a cloud servicenono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersnono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaC++Java
Server operating systemsLinuxLinuxLinux
OS X
Windows
Android
Linux
Windows
Data schemeSchema and schema-less with LDAP viewsYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.schema-freeyes
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.yesnonono
Secondary indexesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.noyes
SQL infoSupport of SQLnoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.noyes
APIs and other access methodsLDAPADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
HTTP API
Jupyter
WebSocket
JDBC
ODBC
Supported programming languagesAll languages with LDAP bindingsC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresnoyes, PostgreSQL PL/pgSQL, with minor differencesyes infoWarpScript
Triggersyesyes, called Custom Alertsnoyes
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionhorizontal partitioning, hierarchical partitioningSharding infobased on HBasehorizontal partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesyesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.selectable replication factor infobased on HBaseSource-replica replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infoBi-directional Spark integrationnono
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency infobased on HBaseImmediate Consistency
Foreign keys infoReferential integritynoyesnoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsACIDnoACID
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.yesnoyesyes
User concepts infoAccess controlLDAP bind authenticationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashMandatory use of cryptographic tokens, containing fine-grained authorizationsfine grained access rights according to SQL-standard
More information provided by the system vendor
Atos Standard Common RepositoryVertica infoOpenText™ Vertica™Warp 10Yaacomo
Specific characteristicsDeploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesFast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosCommunication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersAbiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
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Atos Standard Common RepositoryVertica infoOpenText™ Vertica™Warp 10Yaacomo
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