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

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

Editorial information provided by DB-Engines
NameApache Drill  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHive  Xexclude from comparisonRRDtool  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.
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 networksdata warehouse software for querying and managing large distributed datasets, built on HadoopIndustry standard data logging and graphing tool for time series data. RRD is an acronym for round-robin database. infoThe data is stored in a circular buffer, thus the system storage footprint remains constant over time.A high performance, scalable Wide Column DBMS
Primary database modelDocument store
Relational DBMS
Document store
Key-value store
Relational DBMSTime Series DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score2.14
Rank#124  Overall
#10  Time Series DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Websitedrill.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orgoss.oetiker.ch/­rrdtoolgithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationdrill.apache.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Homeoss.oetiker.ch/­rrdtool/­doc
DeveloperApache Software FoundationAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookTobias OetikerAlex Kashirin
Initial release20122016201219992020
Current release1.20.3, January 202317033.1.3, April 20221.8.0, 20220.5, April 2021
License infoCommercial or Open SourceOpen Source infoApache Version 2commercialOpen Source infoApache Version 2Open Source infoGPL V2 and FLOSSOpen Source infoGPL V3
Cloud-based only infoOnly available as a cloud servicenonononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC infoImplementations in Java (e.g. RRD4J) and C# availableC++
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VMHP-UX
Linux
Linux
Data schemeschema-freeSchema and schema-less with LDAP viewsyesyesschema-free
Typing infopredefined data types such as float or dateyesoptionalyesNumeric data only
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.noyesno infoExporting into and restoring from XML files possibleno
Secondary indexesnoyesyesno
SQL infoSupport of SQLSQL SELECT statement is SQL:2003 compliantnoSQL-like DML and DDL statementsnoSQL-like query language
APIs and other access methodsJDBC
ODBC
RESTful HTTP API
LDAPJDBC
ODBC
Thrift
in-process shared library
Pipes
Proprietary protocol
Thrift
Supported programming languagesC++All languages with LDAP bindingsC++
Java
PHP
Python
C infowith librrd library
C# infowith a different implementation of RRDTool
Java infowith a different implementation of RRDTool
JavaScript (Node.js) infowith a different implementation of RRDTool
Lua
Perl
PHP infowith a wrapper library
Python
Ruby
C++
Server-side scripts infoStored proceduresuser defined functionsnoyes infouser defined functions and integration of map-reducenono
Triggersnoyesnonono
Partitioning methods infoMethods for storing different data on different nodesShardingSharding infocell divisionShardingnoneSharding
Replication methods infoMethods for redundantly storing data on multiple nodesyesselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsyesyes infoquery execution via MapReducenono
Consistency concepts infoMethods to ensure consistency in a distributed systemnoneImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencynoneImmediate Consistency
Foreign keys infoReferential integritynononono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of datanoAtomic execution of specific operationsnono
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes infoby using the rrdcached daemonyes
Durability infoSupport for making data persistentDepending on the underlying data sourceyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.Depending on the underlying data sourceyesyesno
User concepts infoAccess controlDepending on the underlying data sourceLDAP bind authenticationAccess rights for users, groups and rolesno

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More resources
Apache DrillAtos Standard Common RepositoryHiveRRDtoolSWC-DB infoSuper Wide Column Database
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