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DBMS > ArangoDB vs. Hive vs. Realm

System Properties Comparison ArangoDB vs. Hive vs. Realm

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonHive  Xexclude from comparisonRealm  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 DBMS built for use on mobile devices that’s a fast, easy to use alternative to SQLite and Core Data
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMSDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.21
Rank#61  Overall
#10  Document stores
#3  Graph DBMS
#10  Key-value stores
#7  Search engines
Score84.24
Rank#14  Overall
#9  Relational DBMS
Score8.23
Rank#46  Overall
#8  Document stores
Websitewww.arangodb.comhive.apache.orgrealm.io
Technical documentationwww.arangodb.com/­docs/­stablecwiki.apache.org/­confluence/­display/­Hive/­Homerealm.io/­docs
DeveloperArangoDB Inc.Apache Software Foundation infoinitially developed by FacebookRealm, acquired by MongoDB in May 2019
Initial release201220122014
Current release3.6, January 20203.1.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache Version 2Open Source
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++Java
Server operating systemsLinux
OS X
Windows
All OS with a Java VMAndroid
Backend: server-less
iOS
Windows
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
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
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C++
Java
PHP
Python
.Net
Java infowith Android only
Objective-C
React Native
Swift
Server-side scripts infoStored proceduresJavaScriptyes infouser defined functions and integration of map-reduceno inforuns within the applications so server-side scripts are unnecessary
Triggersnonoyes infoChange Listeners
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Shardingnone
Replication methods infoMethods for redundantly storing data on multiple nodesMaster-slave replication with configurable replication factorselectable replication factornone
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyes infoquery execution via MapReduceno
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 ConsistencyImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACID
Concurrency infoSupport for concurrent manipulation of datayesyes
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 infoIn-Memory realm
User concepts infoAccess controlyesAccess rights for users, groups and rolesyes
More information provided by the system vendor
ArangoDBHiveRealm
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Now a part of MongoDB Data Platform , Realm Database is the fast, easy to use, and...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Realm ensures offline-first functionality, meaning apps run smoothly and deliver...
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Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Mobile Consumer Apps First-Line Worker Apps
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Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Cathay Pacific Royal Carribbean Cruise Lines Open Source Database powers apps built...
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
Used by 100,000+ developers 2 bn installs Currently used in 40k+ applications in...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
Realm database is licensed under the Apache License v2.0.
» more
News

Massive Inserts into ArangoDB With NodeJS
9 January 2020

What’s new in ArangoDB 3.6: OneShard Deployments and Performance Improvements
8 January 2020

Release Candidate 2 of the ArangoDB 3.6 available for testing
23 December 2019

ArangoDB and the Cloud Native Ecosystem
20 November 2019

Say Hi To ArangoDB Oasis: A Fully-Managed Multi-Model Database Service
14 November 2019

We invite representatives of system vendors to contact us for updating and extending the system information,
and for displaying vendor-provided information such as key customers, competitive advantages and market metrics.

Related products and services
3rd partiesDremio is like magic for Hive accelerating your analytical queries up to 1,000x.
» more

We invite representatives of vendors of related products to contact us for presenting information about their offerings here.

More resources
ArangoDBHiveRealm
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Recent citations in the news

ArangoDB boosts multi-model database performance with release of ArangoDB 3.6
9 January 2020, SDTimes.com

ArangoDB 3.6 accelerates performance of multi-model database
10 January 2020, TechTarget

Looking to Improve Database Performance – Check Out ArangoDB 3.6 Update That Delivers Major Performance Improvements
8 January 2020, Toolbox

insideBIGDATA Latest News – 1/20/2020
20 January 2020, insideBIGDATA

Graph Databases Software Market (2020 To 2027) Global Industry Analysis with Top Players Neo4j, ArangoDB, Amazon Neptune, OrientDB – Dagoretti News
21 January 2020, Dagoretti News

provided by Google News

Real-Time Analytics from Your Data Lake Teaching the Elephant to Dance
21 January 2020, insideBIGDATA

What is Amazon EMR?
23 December 2019, TechRadar

Top 11 Machine Learning Jobs You Can Apply For Right Away
20 January 2020, Analytics India Magazine

Apache Hive creator's Quoble goes serverless with Quantum engine
12 June 2019, DevClass

Hive v/s Pig: Comparing The Two Principal Components Of Hadoop Ecosystem
7 May 2019, Analytics India Magazine

provided by Google News

Realm Makes PostgreSQL Real-Time with New Connector
21 March 2017, Database Trends and Applications

Realm Receives Investment from Ericsson Ventures to Advance Development of Edge Computing Solutions
21 September 2017, Business Wire

Realm Empowers Mobile Developers to Tap Into Serverless Development to Build Collaborative and Realtime Experiences
23 May 2017, Business Wire

Kotlin Programming Language Will Surpass Java On Android Next Year
15 October 2017, Fossbytes

Box Introduces the Box File Collaboration API
24 December 2016, ProgrammableWeb

provided by Google News

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