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DBMS > Amazon DocumentDB vs. Heroic vs. Hive vs. SWC-DB

System Properties Comparison Amazon DocumentDB vs. Heroic vs. Hive vs. SWC-DB

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonHeroic  Xexclude from comparisonHive  Xexclude from comparisonSWC-DB infoSuper Wide Column Database  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchdata warehouse software for querying and managing large distributed datasets, built on HadoopA high performance, scalable Wide Column DBMS
Primary database modelDocument storeTime Series DBMSRelational DBMSWide column store
Secondary database modelsTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.89
Rank#137  Overall
#24  Document stores
Score0.57
Rank#250  Overall
#21  Time Series DBMS
Score62.59
Rank#18  Overall
#12  Relational DBMS
Score0.01
Rank#387  Overall
#13  Wide column stores
Websiteaws.amazon.com/­documentdbgithub.com/­spotify/­heroichive.apache.orggithub.com/­kashirin-alex/­swc-db
www.swcdb.org
Technical documentationaws.amazon.com/­documentdb/­resourcesspotify.github.io/­heroiccwiki.apache.org/­confluence/­display/­Hive/­Home
DeveloperSpotifyApache Software Foundation infoinitially developed by FacebookAlex Kashirin
Initial release2019201420122020
Current release3.1.3, April 20220.5, April 2021
License infoCommercial or Open SourcecommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoGPL V3
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageJavaJavaC++
Server operating systemshostedAll OS with a Java VMLinux
Data schemeschema-freeschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyes
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.nonono
Secondary indexesyesyes infovia Elasticsearchyes
SQL infoSupport of SQLnonoSQL-like DML and DDL statementsSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Thrift
Proprietary protocol
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
PHP
Python
C++
Server-side scripts infoStored proceduresnonoyes infouser defined functions and integration of map-reduceno
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)noyes infoquery execution via MapReduceno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnono
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.nono
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users, groups and roles

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More resources
Amazon DocumentDBHeroicHiveSWC-DB infoSuper Wide Column Database
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