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DBMS > ArangoDB vs. Vertica

System Properties Comparison ArangoDB vs. Vertica

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonVertica infoVertica Analytics Platform  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Columnar relational DBMS designed to handle modern analytic workloads, enabling fast query performance
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Relational DBMS
Secondary database modelsDocument store
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score5.80
Rank#64  Overall
#10  Document stores
#3  Graph DBMS
#10  Key-value stores
#8  Search engines
Score21.77
Rank#31  Overall
#18  Relational DBMS
Websitewww.arangodb.comwww.vertica.com
Technical documentationwww.arangodb.com/­docs/­stablewww.vertica.com/­docs/­10.0.x/­HTML/­Content/­Home.htm
DeveloperArangoDB Inc.Vertica / Micro Focus infoprior to that Hewlett Packard
Initial release20122005
Current release3.7.2.1, September 2020Vertica 10.0 Software, May 2020
Vertica for SQL on Hadoop 10.0 Software, May 2020
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenono infoAvailable on all major clouds - Amazon AWS, Microsoft Azure and Google Cloud Platform
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++
Server operating systemsLinux
OS X
Windows
Linux
Data schemeschema-free infoautomatically recognizes schema within a collectionyes infoUnstructured data can be stored in specific Flex-Tables
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyes
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.yes
Secondary indexesyesno infoThe concept of 'projections' can be used instead of indexes.
SQL infoSupport of SQLnoyes infonearly full SQL99 without support for indexes and triggers
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
ADO.NET
JDBC
Kafka
ODBC
Proprietary protocol
RESTful HTTP API
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C++
Java
Perl
Python
R
Server-side scripts infoStored proceduresJavaScriptyes
Triggersnono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Sharding infoSegmentation, Projection Segmentation, Hash Segmentation
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorMulti-source replication infoCluster level and Object level replication
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptyes infowith Vertica Connector for Hadoop
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
Foreign keys infoReferential integrityyes inforelationships in graphsyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyes
Durability infoSupport for making data persistentyesyes
User concepts infoAccess controlyesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
ArangoDBVertica infoVertica Analytics Platform
Specific characteristicsOne Engine. One Query Language. Multiple Data Models. ArangoDB is an open source...
» more
Columnar storage, MPP, Hybrid storage model, Aggressive data compression, High availability,...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Performance at exabyte scale, Deploy anywhere, Open source innovation, Analysis in...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» more
Market metricsArangoDB is the leading native multi-model database with over 9000 stargazers on...
» more
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» more
Cost-based models and subscription-based models are available
» more
News

ArangoML Part 1: Where Graphs and Machine Learning Meet
25 September 2020

A story of a memory leak in GO: How to properly use time.After()
14 September 2020

ArangoDB 3.7 – A Big Step Forward for Multi-Model
27 August 2020

ArangoDB Assembles 10,000 GitHub Stargazers
20 July 2020

A Deep And Fuzzy Dive Into Search
16 July 2020

Related products and services

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More resources
ArangoDBVertica infoVertica Analytics Platform
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

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27 August 2020, ZDNet

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Alibaba adds leading analytics and banking software to its public cloud
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21 April 2020, SiliconANGLE

Covid-19 Impact on Database Management Software Market Global Trends Analysis, Top Manufacturers, Shares, Growth Opportunities, Statistics & Forecast to 2026
25 September 2020, The Daily Chronicle

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