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DBMS > ArangoDB vs. Atos Standard Common Repository vs. HEAVY.AI

System Properties Comparison ArangoDB vs. Atos Standard Common Repository vs. HEAVY.AI

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonAtos Standard Common Repository  Xexclude from comparisonHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022  Xexclude from comparison
This system has been discontinued and will be removed from the DB-Engines ranking.
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Highly scalable database system, designed for managing session and subscriber data in modern mobile communication networksA high performance, column-oriented RDBMS, specifically developed to harness the massive parallelism of modern CPU and GPU hardware
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Document store
Key-value store
Relational DBMS
Secondary database modelsSpatial DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.42
Rank#85  Overall
#14  Document stores
#5  Graph DBMS
#10  Key-value stores
#10  Search engines
Score1.52
Rank#147  Overall
#67  Relational DBMS
Websitearangodb.comatos.net/en/convergence-creators/portfolio/standard-common-repositorygithub.com/­heavyai/­heavydb
www.heavy.ai
Technical documentationdocs.arangodb.comdocs.heavy.ai
Social network pagesLinkedInTwitterYouTubeFacebookInstagram
DeveloperArangoDB Inc.Atos Convergence CreatorsHEAVY.AI, Inc.
Initial release201220162016
Current release3.11.5, November 202317035.10, January 2022
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialOpen Source infoApache Version 2; enterprise edition available
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 Cloud –The Managed Cloud Service of ArangoDB. 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++JavaC++ and CUDA
Server operating systemsLinux
OS X
Windows
LinuxLinux
Data schemeschema-free infoautomatically recognizes schema within a collectionSchema and schema-less with LDAP viewsyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashoptionalyes
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.yesno
Secondary indexesyesyesno
SQL infoSupport of SQLnonoyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
LDAPJDBC
ODBC
Thrift
Vega
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
All languages with LDAP bindingsAll languages supporting JDBC/ODBC/Thrift
Python
Server-side scripts infoStored proceduresJavaScriptnono
Triggersnoyesno
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Sharding infocell divisionSharding infoRound robin
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factoryesMulti-source replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptno
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)
Immediate Consistency or Eventual Consistency depending on configurationImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDAtomic execution of specific operationsno
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.yesyes
User concepts infoAccess controlyesLDAP bind authenticationfine grained access rights according to SQL-standard
More information provided by the system vendor
ArangoDBAtos Standard Common RepositoryHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
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
ArangoDBAtos Standard Common RepositoryHEAVY.AI infoFormerly named 'OmniSci', rebranded to 'HEAVY.AI' in March 2022
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
29 August 2017, Luca Olivari (guest author)

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Recent citations in the news

ArangoDB Announces Release of ArangoDB 3.11 for Search, Graph and Analytics
30 May 2023, insideHPC

ArangoDB brings yet more money into graph database market with $27.8M round
6 October 2021, SiliconANGLE News

Here's the pitch deck a German software startup used to raise $10 million to move to San Francisco and take on Oracle
23 June 2019, Business Insider

Graph, machine learning, hype, and beyond: ArangoDB open source multi-model database releases version 3.7
27 August 2020, ZDNet

Graph Database Market to grow at a CAGR of 19.9% from 2022 to 2027|Increased demand for low-latency queries is a major trend _ Technavio
7 August 2023, PR Newswire

provided by Google News

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10 February 2024, Atos

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HEAVY.AI Launches HEAVY 7.0, Introducing Real-Time Machine Learning Capabilities
19 April 2023, Business Wire

OmniSci Gets HEAVY New Name and New CEO
1 March 2022, Datanami

Making the most of geospatial intelligence
14 April 2023, InfoWorld

Big Data Analytics: A Game Changer for Infrastructure
13 July 2023, Spiceworks News and Insights

ChatGPT Confirms Data Breach, Raising Security Concerns
2 May 2023, Security Intelligence

provided by Google News



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