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

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

Editorial information provided by DB-Engines
NameAmazon Neptune  Xexclude from comparisonApache Drill  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHive  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.
DescriptionFast, reliable graph database built for the cloudSchema-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 HadoopA high performance, scalable Wide Column DBMS
Primary database modelGraph DBMS
RDF store
Document store
Relational DBMS
Document store
Key-value store
Relational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score2.58
Rank#112  Overall
#9  Graph DBMS
#5  RDF stores
Score2.28
Rank#119  Overall
#23  Document stores
#56  Relational DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Websiteaws.amazon.com/­neptunedrill.apache.orgatos.net/en/convergence-creators/portfolio/standard-common-repositoryhive.apache.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationaws.amazon.com/­neptune/­developer-resourcesdrill.apache.org/­docscwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperAmazonApache Software FoundationAtos Convergence CreatorsApache Software Foundation infoinitially developed by FacebookAlex Kashirin
Initial release20172012201620122020
Current release1.20.3, January 202317033.1.3, April 20220.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2commercialOpen Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedLinux
OS X
Windows
LinuxAll OS with a Java VMLinux
Data schemeschema-freeschema-freeSchema and schema-less with LDAP viewsyesschema-free
Typing infopredefined data types such as float or dateyesyesoptionalyes
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.nonoyesno
Secondary indexesnonoyesyes
SQL infoSupport of SQLnoSQL SELECT statement is SQL:2003 compliantnoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsOpenCypher
RDF 1.1 / SPARQL 1.1
TinkerPop Gremlin
JDBC
ODBC
RESTful HTTP API
LDAPJDBC
ODBC
Thrift
Proprietary protocol
Thrift
Supported programming languagesC#
Go
Java
JavaScript
PHP
Python
Ruby
Scala
C++All languages with LDAP bindingsC++
Java
PHP
Python
C++
Server-side scripts infoStored proceduresnouser defined functionsnoyes infouser defined functions and integration of map-reduceno
Triggersnonoyesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingSharding infocell divisionShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones high availability, asynchronous replication for up to 15 read replicas within a single region. Global database clusters consists of a primary write DB cluster in one region, and up to five secondary read DB clusters in different regions. Each secondary region can have up to 16 reader instances.yesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsnoyesyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencynoneImmediate Consistency or Eventual Consistency depending on configurationEventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes infoRelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoAtomic execution of specific operationsno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesyes
Durability infoSupport for making data persistentyes infowith encyption-at-restDepending 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 sourceyesno
User concepts infoAccess controlAccess rights for users and roles can be defined via the AWS Identity and Access Management (IAM)Depending on the underlying data sourceLDAP bind authenticationAccess rights for users, groups and roles

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More resources
Amazon NeptuneApache DrillAtos Standard Common RepositoryHiveSWC-DB infoSuper Wide Column Database
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