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DBMS > Amazon DocumentDB vs. etcd vs. FoundationDB vs. HugeGraph

System Properties Comparison Amazon DocumentDB vs. etcd vs. FoundationDB vs. HugeGraph

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonetcd  Xexclude from comparisonFoundationDB  Xexclude from comparisonHugeGraph  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Created as commercial project in 2013, FoundationDB has been acquired by Apple in March 2015 and was withdrawn from the market.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.
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceA distributed reliable key-value storeOrdered key-value store. Core features are complimented by layers.A fast-speed and highly-scalable Graph DBMS
Primary database modelDocument storeKey-value storeDocument store infosupported via specific layer
Key-value store
Relational DBMS infosupported via specific SQL-layer
Graph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score1.03
Rank#190  Overall
#31  Document stores
#28  Key-value stores
#89  Relational DBMS
Score0.13
Rank#336  Overall
#32  Graph DBMS
Websiteaws.amazon.com/­documentdbetcd.io
github.com/­etcd-io/­etcd
github.com/­apple/­foundationdbgithub.com/­hugegraph
hugegraph.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
apple.github.io/­foundationdbhugegraph.apache.org/­docs
DeveloperFoundationDBBaidu
Initial release201920132018
Current release3.4, August 20196.2.28, November 20200.9
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2.0Open Source infoApache 2.0Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud serviceyesnonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGoC++Java
Server operating systemshostedFreeBSD
Linux
Windows infoexperimental
Linux
OS X
Windows
Linux
macOS
Unix
Data schemeschema-freeschema-freeschema-free infosome layers support schemasyes
Typing infopredefined data types such as float or dateyesnono infosome layers support typingyes
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 indexesyesnonoyes infoalso supports composite index and range index
SQL infoSupport of SQLnonosupported in specific SQL layer onlyno
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)gRPC
JSON over HTTP
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
.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 jobs
Triggersnoyes, watching key changesnono
Partitioning methods infoMethods for storing different data on different nodesnoneShardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.yesyes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)nonovia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate ConsistencyLinearizable consistencyEventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possiblenoin SQL-layer onlyyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsnoACIDACID
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.noyes
User concepts infoAccess controlAccess rights for users and rolesnonoUsers, roles and permissions

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More resources
Amazon DocumentDBetcdFoundationDBHugeGraph
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