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DBMS > Amazon DocumentDB vs. AnzoGraph DB vs. etcd vs. Google Cloud Firestore

System Properties Comparison Amazon DocumentDB vs. AnzoGraph DB vs. etcd vs. Google Cloud Firestore

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Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonAnzoGraph DB  Xexclude from comparisonetcd  Xexclude from comparisonGoogle Cloud Firestore  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationA distributed reliable key-value storeCloud Firestore is an auto-scaling document database for storing, syncing, and querying data for mobile and web apps. It offers seamless integration with other Firebase and Google Cloud Platform products.
Primary database modelDocument storeGraph DBMS
RDF store
Key-value storeDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#132  Overall
#24  Document stores
Score0.23
Rank#307  Overall
#24  Graph DBMS
#13  RDF stores
Score7.25
Rank#54  Overall
#5  Key-value stores
Score7.85
Rank#51  Overall
#8  Document stores
Websiteaws.amazon.com/­documentdbcambridgesemantics.com/­anzographetcd.io
github.com/­etcd-io/­etcd
firebase.google.com/­products/­firestore
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmetcd.io/­docs
github.com/­etcd-io/­etcd/­tree/­master/­Documentation
firebase.google.com/­docs/­firestore
DeveloperCambridge SemanticsGoogle
Initial release201920182017
Current release2.3, January 20213.4, August 2019
License infoCommercial or Open Sourcecommercialcommercial infofree trial version availableOpen Source infoApache Version 2.0commercial
Cloud-based only infoOnly available as a cloud serviceyesnonoyes
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
Implementation languageGo
Server operating systemshostedLinuxFreeBSD
Linux
Windows infoexperimental
hosted
Data schemeschema-freeSchema-free and OWL/RDFS-schema supportschema-freeschema-free
Typing infopredefined data types such as float or dateyesnoyes
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 indexesyesnonoyes
SQL infoSupport of SQLnoSPARQL and SPARQL* as primary query language. Cypher preview.nono
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)Apache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
gRPC
JSON over HTTP
Android
gRPC (using protocol buffers) API
iOS
JavaScript API
RESTful HTTP API
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C++
Java
Python
.Net
C
C++
Clojure
Erlang
Go
Haskell
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Ruby
Rust
Scala
Tcl
Go
Java
JavaScript
JavaScript (Node.js)
Objective-C
Python
Server-side scripts infoStored proceduresnouser defined functions and aggregatesnoyes, Firebase Rules & Cloud Functions
Triggersnonoyes, watching key changesyes, with Cloud Functions
Partitioning methods infoMethods for storing different data on different nodesnoneAutomatic shardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasMulti-source replication in MPP-ClusterUsing Raft consensus algorithm to ensure data replication with strong consistency among multiple replicas.Multi-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)Kerberos/HDFS data loadingnoUsing Cloud Dataflow
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyImmediate Consistency in MPP-ClusterImmediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleno infonot needed in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnoyes
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.yesno
User concepts infoAccess controlAccess rights for users and rolesAccess rights for users and rolesnoAccess rights for users, groups and roles based on Google Cloud Identity and Access Management. Security Rules for 3rd party authentication using Firebase Auth.

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More resources
Amazon DocumentDBAnzoGraph DBetcdGoogle Cloud Firestore
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