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DBMS > Amazon DocumentDB vs. EJDB vs. Heroic vs. Hypertable vs. Hyprcubd

System Properties Comparison Amazon DocumentDB vs. EJDB vs. Heroic vs. Hypertable vs. Hyprcubd

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonEJDB  Xexclude from comparisonHeroic  Xexclude from comparisonHypertable  Xexclude from comparisonHyprcubd  Xexclude from comparison
Hypertable has stopped its further development with March 2016 and is removed from the DB-Engines ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceEmbeddable document-store database library with JSON representation of queries (in MongoDB style)Time Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchAn open source BigTable implementation based on distributed file systems such as HadoopServerless Time Series DBMS
Primary database modelDocument storeDocument storeTime Series DBMSWide column storeTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score0.31
Rank#296  Overall
#44  Document stores
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Websiteaws.amazon.com/­documentdbgithub.com/­Softmotions/­ejdbgithub.com/­spotify/­heroichyprcubd.com (offline)
Technical documentationaws.amazon.com/­documentdb/­resourcesgithub.com/­Softmotions/­ejdb/­blob/­master/­README.mdspotify.github.io/­heroic
DeveloperSoftmotionsSpotifyHypertable Inc.Hyprcubd, Inc.
Initial release2019201220142009
Current release0.9.8.11, March 2016
License infoCommercial or Open SourcecommercialOpen Source infoGPLv2Open Source infoApache 2.0Open Source infoGNU version 3. Commercial license availablecommercial
Cloud-based only infoOnly available as a cloud serviceyesnononoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageCJavaC++Go
Server operating systemshostedserver-lessLinux
OS X
Windows infoan inofficial Windows port is available
hosted
Data schemeschema-freeschema-freeschema-freeschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, integer, double, bool, date, object_idyesnoyes infotime, int, uint, float, string
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 indexesyesnoyes infovia Elasticsearchrestricted infoonly exact value or prefix value scansno
SQL infoSupport of SQLnonononoSQL-like query language
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)in-process shared libraryHQL (Heroic Query Language, a JSON-based language)
HTTP API
C++ API
Thrift
gRPC (https)
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
Actionscript
C
C#
C++
Go
Java
JavaScript (Node.js)
Lua
Objective-C
Pike
Python
Ruby
C++
Java
Perl
PHP
Python
Ruby
Server-side scripts infoStored proceduresnonononono
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnonenoneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasnoneyesselectable replication factor on file system level
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonoyesno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate ConsistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infotypically not needed, however similar functionality with collection joins possiblenonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnononono
Concurrency infoSupport for concurrent manipulation of datayesyes infoRead/Write Lockingyesyesno
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.nono
User concepts infoAccess controlAccess rights for users and rolesnonotoken access

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More resources
Amazon DocumentDBEJDBHeroicHypertableHyprcubd
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