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DBMS > Atos Standard Common Repository vs. LevelDB vs. Vertica vs. YTsaurus

System Properties Comparison Atos Standard Common Repository vs. LevelDB vs. Vertica vs. YTsaurus

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Editorial information provided by DB-Engines
NameAtos Standard Common Repository  Xexclude from comparisonLevelDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparisonYTsaurus  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 networksEmbeddable fast key-value storage library that provides an ordered mapping from string keys to string valuesCloud 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.YTsaurus is an open source platform for distributed storage and processing.
Primary database modelDocument store
Key-value store
Key-value storeRelational DBMS infoColumn orientedDocument store
Key-value store
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.35
Rank#111  Overall
#19  Key-value stores
Score10.68
Rank#43  Overall
#27  Relational DBMS
Score0.11
Rank#340  Overall
#45  Document stores
#50  Key-value stores
Websiteatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­google/­leveldbwww.vertica.comytsaurus.tech
Technical documentationgithub.com/­google/­leveldb/­blob/­main/­doc/­index.mdvertica.com/­documentationytsaurus.tech/­docs/­en
DeveloperAtos Convergence CreatorsGoogleOpenText infopreviously Micro Focus and Hewlett PackardYandex
Initial release2016201120052023
Current release17031.23, February 202112.0.3, January 2023
License infoCommercial or Open SourcecommercialOpen Source infoBSDcommercial infoLimited community edition freeOpen Source infoApache License, Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersno
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++C++C++
Server operating systemsLinuxIllumos
Linux
OS X
Windows
LinuxUbuntu
Data schemeSchema and schema-less with LDAP viewsschema-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 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 indexesyesnoNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.YQL, an SQL-based language, is supported
APIs and other access methodsLDAPADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesAll languages with LDAP bindingsC++
Go
Java info3rd party binding
JavaScript (Node.js) info3rd party binding
Python info3rd party binding
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
C++
Go
Java
JavaScript
Python
Server-side scripts infoStored proceduresnonoyes, PostgreSQL PL/pgSQL, with minor differences
Triggersyesnoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infocell divisionnonehorizontal partitioning, hierarchical partitioningSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesnoneMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.yes
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infoBi-directional Spark integrationyes
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integritynonoyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic execution of specific operationsnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyes infowith automatic compression on writesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesno
User concepts infoAccess controlLDAP bind authenticationnofine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashAccess Control Lists
More information provided by the system vendor
Atos Standard Common RepositoryLevelDBVertica infoOpenText™ Vertica™YTsaurus
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,...
» more
Licensing and pricing modelsCost-based models and subscription-based models are both available. One license is...
» more

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More resources
Atos Standard Common RepositoryLevelDBVertica infoOpenText™ Vertica™YTsaurus
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