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DBMS > Apache Drill vs. Atos Standard Common Repository vs. SWC-DB vs. VictoriaMetrics

System Properties Comparison Apache Drill vs. Atos Standard Common Repository vs. SWC-DB vs. VictoriaMetrics

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Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparisonVictoriaMetrics  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionSchema-free SQL Query Engine for Hadoop, NoSQL and Cloud StorageHighly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA high performance, scalable Wide Column DBMSA fast, cost-effective and scalable Time Series DBMS and monitoring solution
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Wide column storeTime Series DBMS
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.73
Rank#105  Overall
#19  Document stores
#54  Relational DBMS
Score0.09
Rank#309  Overall
#13  Wide column stores
Score0.56
Rank#233  Overall
#18  Time Series DBMS
Websitedrill.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­kashirin-alex/­swc-db
www.swcdb.org
victoriametrics.com
Technical documentationdrill.apache.org/­docsdocs.victoriametrics.com
github.com/­VictoriaMetrics/­VictoriaMetrics/­wiki
DeveloperApache Software FoundationAtos Convergence CreatorsAlex KashirinVictoriaMetrics
Initial release2012201620202018
Current release1.19.0, June 202117030.5, April 2021v1.63, July 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoGPL V3Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenononono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageJavaC++Go
Server operating systemsLinux
OS X
Windows
LinuxLinuxFreeBSD
Linux
macOS
OpenBSD
Data schemeschema-freeSchema and schema-less with LDAP viewsschema-free
Typing infopredefined data types such as float or dateyesoptional
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.noyesnono
Secondary indexesnoyes
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-like query languageno
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPProprietary protocol
Thrift
Graphite protocol
InfluxDB Line Protocol
OpenTSDB
Prometheus Query API
Prometheus Remote Read/Write
Supported programming languagesC++All languages with LDAP bindingsC++
Server-side scripts infoStored proceduresuser defined functionsnonono
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesSynchronous replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesnono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationImmediate ConsistencyEventual Consistency
Foreign keys infoReferential integritynonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesnono
User concepts infoAccess controlDepending on the underlying data sourceLDAP bind authentication
More information provided by the system vendor
Apache DrillAtos Standard Common RepositorySWC-DB infoSuper Wide Column DatabaseVictoriaMetrics
Specific characteristicsHigh performance, horizontally scalable time series database and monitoring solution...
» more
Competitive advantagesSpecifically designed for highly loaded workloads Addresses most of the scalability...
» more
Typical application scenariosWhen the current monitoring solution can't keep up with increasing workload Kubernetes...
» more
Key customersGrammarly, Wix.com, adidas, Sensedia, Brandwatch, CERN, COLOPL, Razorpay See our...
» more
Market metrics4.9k stars and 70+ contributors on GitHub 20M+ downloads Thousands of active users...
» more
Licensing and pricing modelsVictoriaMetrics comes in two versions: an open source version and an Enterprise version....
» more

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More resources
Apache DrillAtos Standard Common RepositorySWC-DB infoSuper Wide Column DatabaseVictoriaMetrics
Recent citations in the news

Apache Drill improves big data SQL query engine
31 August 2021, TechTarget

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9 September 2021, iProgrammer

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19 May 2015, Datanami

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9 September 2021, IT Business Edge

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