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DBMS > Alibaba Cloud Table Store vs. Amazon DocumentDB vs. FoundationDB vs. HugeGraph vs. Hyprcubd

System Properties Comparison Alibaba Cloud Table Store vs. Amazon DocumentDB vs. FoundationDB vs. HugeGraph vs. Hyprcubd

Editorial information provided by DB-Engines
NameAlibaba Cloud Table Store  Xexclude from comparisonAmazon DocumentDB  Xexclude from comparisonFoundationDB  Xexclude from comparisonHugeGraph  Xexclude from comparisonHyprcubd  Xexclude from comparison
Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market. As a consequence, the product was removed from the DB-Engines ranking. In April 2018, Apple open-sourced FoundationDB and it therefore reappears in the ranking.Hyprcubd seems to be discontinued. Therefore it is excluded from the DB-Engines ranking.
DescriptionA fully managed Wide Column Store for large quantities of semi-structured data with real-time accessFast, scalable, highly available, and fully managed MongoDB-compatible database serviceOrdered key-value store. Core features are complimented by layers.A fast-speed and highly-scalable Graph DBMSServerless Time Series DBMS
Primary database modelWide column storeDocument storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMSTime Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.26
Rank#301  Overall
#12  Wide column stores
Score1.91
Rank#132  Overall
#24  Document stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websitewww.alibabacloud.com/­product/­table-storeaws.amazon.com/­documentdbgithub.com/­apple/­foundationdbgithub.com/­hugegraph
hugegraph.apache.org
hyprcubd.com (offline)
Technical documentationwww.alibabacloud.com/­help/­en/­tablestoreaws.amazon.com/­documentdb/­resourcesapple.github.io/­foundationdbhugegraph.apache.org/­docs
DeveloperAlibabaFoundationDBBaiduHyprcubd, Inc.
Initial release2016201920132018
Current release6.2.28, November 20200.9
License infoCommercial or Open SourcecommercialcommercialOpen Source infoApache 2.0Open Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageC++JavaGo
Server operating systemshostedhostedLinux
OS X
Windows
Linux
macOS
Unix
hosted
Data schemeschema-freeschema-freeschema-free infosome layers support schemasyesyes
Typing infopredefined data types such as float or dateyesyesno infosome layers support typingyesyes 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.nononono
Secondary indexesnoyesnoyes infoalso supports composite index and range indexno
SQL infoSupport of SQLnonosupported in specific SQL layer onlynoSQL-like query language
APIs and other access methodsHTTP APIproprietary protocol using JSON (MongoDB compatible)Java API
RESTful HTTP API
TinkerPop Gremlin
gRPC (https)
Supported programming languagesJava
Python
Go
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Go
Java
JavaScript infoNode.js
PHP
Python
Ruby
Swift
Groovy
Java
Python
Server-side scripts infoStored proceduresnonoin SQL-layer onlyasynchronous Gremlin script jobsno
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesSharding infoImplicit feature of the cloud servicenoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesyes infoImplicit feature of the cloud serviceMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasyesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsnono infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)novia hugegraph-sparkno
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyLinearizable consistencyEventual ConsistencyEventual Consistency
Foreign keys infoReferential integritynono infotypically not used, however similar functionality with DBRef possiblein SQL-layer onlyyes infoedges in graphno
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-row operationsAtomic single-document operationsACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyesyesyesno
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.noyesno
User concepts infoAccess controlAccess rights based on subaccounts and tokensAccess rights for users and rolesnoUsers, roles and permissionstoken access

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More resources
Alibaba Cloud Table StoreAmazon DocumentDBFoundationDBHugeGraphHyprcubd
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