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DBMS > ArangoDB vs. Bangdb vs. Hive

System Properties Comparison ArangoDB vs. Bangdb vs. Hive

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonBangdb  Xexclude from comparisonHive  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Converged and high performance database for device data, events, time series, document and graphdata warehouse software for querying and managing large distributed datasets, built on Hadoop
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Document store
Graph DBMS
Time Series DBMS
Relational DBMS
Secondary database modelsSpatial 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
Score0.04
Rank#332  Overall
#45  Document stores
#34  Graph DBMS
#29  Time Series DBMS
Score81.61
Rank#17  Overall
#11  Relational DBMS
Websitewww.arangodb.combangdb.comhive.apache.org
Technical documentationwww.arangodb.com/­docs/­stablebangdb.com/­developercwiki.apache.org/­confluence/­display/­Hive/­Home
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.Sachin Sinha, BangDBApache Software Foundation infoinitially developed by Facebook
Initial release201220122012
Current release3.9.1, April 2022BangDB 2.0, October 20213.1.2, August 2019
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoBSD 3Open Source infoApache Version 2
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++C, C++Java
Server operating systemsLinux
OS X
Windows
LinuxAll OS with a Java VM
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-freeyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyes: string, long, double, int, geospatial, stream, eventsyes
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 indexesyesyes infosecondary, composite, nested, reverse, geospatialyes
SQL infoSupport of SQLnoSQL like support with command line toolSQL-like DML and DDL statements
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Proprietary protocol
RESTful HTTP API
JDBC
ODBC
Thrift
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C
C#
C++
Java
Python
C++
Java
PHP
Python
Server-side scripts infoStored proceduresJavaScriptnoyes infouser defined functions and integration of map-reduce
Triggersnoyes, Notifications (with Streaming only)no
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Sharding (enterprise version only). P2P based virtual network overlay with consistent hashing and chord algorithmSharding
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorselectable replication factor, Knob for CAP (enterprise version only)selectable replication factor
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnoyes infoquery execution via MapReduce
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)
Tunable consistency, set CAP knob accordinglyEventual Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDno
Concurrency infoSupport for concurrent manipulation of datayesyes, optimistic concurrency controlyes
Durability infoSupport for making data persistentyesyes, implements WAL (Write ahead log) as wellyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes, run db with in-memory only mode
User concepts infoAccess controlyesyes (enterprise version only)Access rights for users, groups and roles
More information provided by the system vendor
ArangoDBBangdbHive
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
BangDB is a converged NoSql database platform which natively integrated streaming,...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Converged Platform to break silos for higher scale and performance BangDB is a novel...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
IOT and time series data monitoring Devops, servers, network monitoring Real-Time...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Cisco, Accenture, Opera, Airpay, CtrlS, makemytrip, wine central, over 150 SaaS customers
» more
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» more
BangDB is one of the fastest databases in the marke with over 2X performance over...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
BangDB community and enterprise model. Details at https://bangdb.com/pricing/
» 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
ArangoDBBangdbHive
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