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DBMS > Amazon DocumentDB vs. ArangoDB vs. Graphite vs. Heroic vs. Hive

System Properties Comparison Amazon DocumentDB vs. ArangoDB vs. Graphite vs. Heroic vs. Hive

Editorial information provided by DB-Engines
NameAmazon DocumentDB  Xexclude from comparisonArangoDB  Xexclude from comparisonGraphite  Xexclude from comparisonHeroic  Xexclude from comparisonHive  Xexclude from comparison
DescriptionFast, scalable, highly available, and fully managed MongoDB-compatible database serviceNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Data logging and graphing tool for time series data infoThe storage layer (fixed size database) is called WhisperTime 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 Hadoop
Primary database modelDocument storeDocument store
Graph DBMS
Key-value store
Search engine
Time Series DBMSTime Series DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score1.91
Rank#131  Overall
#24  Document stores
Score3.26
Rank#88  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score4.83
Rank#67  Overall
#4  Time Series DBMS
Score0.46
Rank#265  Overall
#22  Time Series DBMS
Score59.76
Rank#18  Overall
#12  Relational DBMS
Websiteaws.amazon.com/­documentdbarangodb.comgithub.com/­graphite-project/­graphite-webgithub.com/­spotify/­heroichive.apache.org
Technical documentationaws.amazon.com/­documentdb/­resourcesdocs.arangodb.comgraphite.readthedocs.iospotify.github.io/­heroiccwiki.apache.org/­confluence/­display/­Hive/­Home
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperArangoDB Inc.Chris DavisSpotifyApache Software Foundation infoinitially developed by Facebook
Initial release20192012200620142012
Current release3.11.5, November 20233.1.3, April 2022
License infoCommercial or Open SourcecommercialOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache 2.0Open Source infoApache 2.0Open Source infoApache Version 2
Cloud-based only infoOnly available as a cloud serviceyesnononono
DBaaS offerings (sponsored links) infoDatabase as a Service

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Implementation languageC++PythonJavaJava
Server operating systemshostedLinux
OS X
Windows
Linux
Unix
All OS with a Java VM
Data schemeschema-freeschema-free infoautomatically recognizes schema within a collectionyesschema-freeyes
Typing infopredefined data types such as float or dateyesyes infostring, double, boolean, list, hashNumeric data onlyyesyes
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 indexesyesyesnoyes infovia Elasticsearchyes
SQL infoSupport of SQLnonononoSQL-like DML and DDL statements
APIs and other access methodsproprietary protocol using JSON (MongoDB compatible)AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
HTTP API
Sockets
HQL (Heroic Query Language, a JSON-based language)
HTTP API
JDBC
ODBC
Thrift
Supported programming languagesGo
Java
JavaScript (Node.js)
PHP
Python
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
JavaScript (Node.js)
Python
C++
Java
PHP
Python
Server-side scripts infoStored proceduresnoJavaScriptnonoyes infouser defined functions and integration of map-reduce
Triggersnonononono
Partitioning methods infoMethods for storing different data on different nodesnoneSharding infosince version 2.0noneShardingSharding
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-availability zones for high availability, asynchronous replication for up to 15 read replicasSource-replica replication with configurable replication factornoneyesselectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infomay be implemented via Amazon Elastic MapReduce (Amazon EMR)no infocan be done with stored procedures in JavaScriptnonoyes infoquery execution via MapReduce
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate ConsistencyEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
noneEventual Consistency
Immediate Consistency
Eventual Consistency
Foreign keys infoReferential integrityno infotypically not used, however similar functionality with DBRef possibleyes inforelationships in graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataAtomic single-document operationsACIDnonono
Concurrency infoSupport for concurrent manipulation of datayesyesyes infolockingyesyes
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.no
User concepts infoAccess controlAccess rights for users and rolesyesnoAccess rights for users, groups and roles
More information provided by the system vendor
Amazon DocumentDBArangoDBGraphiteHeroicHive
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more

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More resources
Amazon DocumentDBArangoDBGraphiteHeroicHive
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