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DBMS > Amazon DocumentDB vs. GBase vs. Heroic vs. Hive vs. YottaDB

System Properties Comparison Amazon DocumentDB vs. GBase vs. Heroic vs. Hive vs. YottaDB

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonGBase  Xexclude from comparisonHeroic  Xexclude from comparisonHive  Xexclude from comparisonYottaDB  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceWidely used RDBMS in China, including analytical, transactional, distributed transactional, and cloud-native data warehousing.Time 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 fast and solid embedded Key-value store
Primary database modelDocument storeRelational DBMSTime Series DBMSRelational DBMSKey-value store
Secondary database modelsRelational DBMS infousing the Octo plugin
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score1.07
Rank#185  Overall
#86  Relational DBMS
Score0.51
Rank#255  Overall
#21  Time Series DBMS
Score61.17
Rank#18  Overall
#12  Relational DBMS
Score0.20
Rank#317  Overall
#47  Key-value stores
Websiteaws.amazon.com/­documentdbwww.gbase.cngithub.com/­spotify/­heroichive.apache.orgyottadb.com
Technical documentationaws.amazon.com/­documentdb/­resourcesspotify.github.io/­heroiccwiki.apache.org/­confluence/­display/­Hive/­Homeyottadb.com/­resources/­documentation
DeveloperGeneral Data Technology Co., Ltd.SpotifyApache Software Foundation infoinitially developed by FacebookYottaDB, LLC
Initial release20192004201420122001
Current releaseGBase 8a, GBase 8s, GBase 8c3.1.3, April 2022
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2Open Source infoAGPL 3.0
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC, Java, PythonJavaJavaC
Server operating systemshostedLinuxAll OS with a Java VMDocker
Linux
Data schemeschema-freeyesschema-freeyesschema-free
Typing infopredefined data types such as float or dateyesyesyesyesno
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 indexesyesyesyes infovia Elasticsearchyesno
SQL infoSupport of SQLnoStandard with numerous extensionsnoSQL-like DML and DDL statementsby using the Octo plugin
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)ADO.NET
C API
JDBC
ODBC
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Thrift
PostgreSQL wire protocol infousing the Octo plugin
Proprietary protocol
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#C++
Java
PHP
Python
C
Go
JavaScript (Node.js)
Lua
M
Perl
Python
Rust
Server-side scripts infoStored proceduresnouser defined functionsnoyes infouser defined functions and integration of map-reduce
Triggersnoyesnono
Partitioning methods infoMethods for storing different data on different nodesnonehorizontal partitioning (by range, list and hash) and vertical partitioningShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyesselectable replication factoryes
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 ConsistencyImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyesnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonooptimistic locking
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.noyes
User concepts infoAccess controlAccess rights for users and rolesyesAccess rights for users, groups and rolesUsers and groups based on OS-security mechanisms

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More resources
Amazon DocumentDBGBaseHeroicHiveYottaDB
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