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DBMS > ArangoDB vs. Hive vs. HugeGraph

System Properties Comparison ArangoDB vs. Hive vs. HugeGraph

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonHive  Xexclude from comparisonHugeGraph  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.data warehouse software for querying and managing large distributed datasets, built on HadoopA fast-speed and highly-scalable Graph DBMS
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSGraph DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.55
Rank#73  Overall
#12  Document stores
#4  Graph DBMS
#11  Key-value stores
#10  Search engines
Score81.61
Rank#17  Overall
#11  Relational DBMS
Score0.22
Rank#286  Overall
#22  Graph DBMS
Websitewww.arangodb.comhive.apache.orggithub.com/­hugegraph
Technical documentationwww.arangodb.com/­docs/­stablecwiki.apache.org/­confluence/­display/­Hive/­Homehugegraph.github.io/­hugegraph-doc
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.Apache Software Foundation infoinitially developed by FacebookBaidu
Initial release201220122018
Current release3.9.1, April 20223.1.2, August 20190.9
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache Version 2Open Source infoApache Version 2.0
Cloud-based only infoOnly available as a cloud servicenonono
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ArangoDB Oasis –The Managed Cloud Service of ArangoDB. Oasis provides fully managed, and monitored cluster deployments of any size, with enterprise-grade security. Get started for free and continue for as little as $0,21/hour.
Implementation languageC++JavaJava
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
macOS
Unix
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyes
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.no
Secondary indexesyesyesyes infoalso supports composite index and range index
SQL infoSupport of SQLnoSQL-like DML and DDL statementsno
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
JDBC
ODBC
Thrift
Java API
RESTful HTTP API
TinkerPop Gremlin
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C++
Java
PHP
Python
Groovy
Java
Python
Server-side scripts infoStored proceduresJavaScriptyes infouser defined functions and integration of map-reduceasynchronous Gremlin script jobs
Triggersnonono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Shardingyes infodepending on used storage backend, e.g. Cassandra and HBase
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorselectable replication factoryes infodepending on used storage backend, e.g. Cassandra and HBase
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyes infoquery execution via MapReducevia hugegraph-spark
Consistency concepts infoMethods to ensure consistency in a distributed systemEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Eventual ConsistencyEventual Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnoyes infoedges in graph
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyesyes
Durability infoSupport for making data persistentyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes
User concepts infoAccess controlyesAccess rights for users, groups and rolesUsers, roles and permissions
More information provided by the system vendor
ArangoDBHiveHugeGraph
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
News

April 2022: What’s the Latest with ArangoDB?
29 April 2022

Who’s Who in Data Science
14 April 2022

Integrate ArangoDB with PyTorch Geometric to Build Recommendation Systems
6 April 2022

March 2022: What’s the Latest with ArangoDB?
25 March 2022

Introducing the new ArangoDB Datasource for Apache Spark
8 March 2022

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and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

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More resources
ArangoDBHiveHugeGraph
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