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DBMS > ArangoDB vs. OpenSearch vs. Vertica

System Properties Comparison ArangoDB vs. OpenSearch vs. Vertica

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonOpenSearch  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A distributed, RESTful search and analytics engine forked from Elasticsearch and based on Apache LuceneCloud or off-cloud analytical database and query engine for structured and semi-structured streaming and batch data. Machine learning platform with built-in algorithms, data preparation capabilities, and model evaluation and management via SQL or Python.
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Search engineRelational DBMS infoColumn oriented
Secondary database modelsVector DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.09
Rank#83  Overall
#15  Document stores
#5  Graph DBMS
#11  Key-value stores
#10  Search engines
Score17.60
Rank#31  Overall
#4  Search engines
Score9.38
Rank#42  Overall
#26  Relational DBMS
Websitearangodb.comgithub.com/­opensearch-project
opensearch.org
www.vertica.com
Technical documentationdocs.arangodb.comopensearch.org/­docs/­latestvertica.com/­documentation
DeveloperArangoDB Inc.Amazon Web ServicesOpenText infopreviously Micro Focus and Hewlett Packard
Initial release201220212005
Current release3.11.5, November 20232.5.0, January 202312.0.3, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availableOpen Source infoApache Version 2.0commercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonono infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
STACKIT OpenSearch offers OpenSearch in a managed version in enterprise grade, 100% GDPR-compliant, for a wide range of applications like analytics, website search, offering scalability and fast data access.
Implementation languageC++JavaC++
Server operating systemsLinux
OS X
Windows
All OS with a Java VMLinux
Data schemeschema-free infoautomatically recognizes schema within a collectionschema-free infoFlexible type definitions. Once a type is defined, it is persistentYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
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 indexesyesyes infoAll search fields are automatically indexedNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLnoSQL-like query languageFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
Java API
RESTful HTTP/JSON API
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby infoElasticsearch client
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresJavaScriptyesyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnoyes infoby using the 'percolation' featureyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0Shardinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factoryesMulti-source replication infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptno infoBi-directional Spark integration
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 Consistency infoSynchronous doc based replication. Get by ID may show delays up to 1 sec. Configurable write consistency: one, quorum, allImmediate Consistency
Foreign keys infoReferential integrityyes inforelationships in graphsnoyes
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.no
User concepts infoAccess controlyesfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
ArangoDBOpenSearchVertica infoOpenText™ Vertica™
Specific characteristicsOpenSearch is a highly scalable and extensible open-source software suite for search,...
» more
Competitive advantagesDistributed as fully open source under Apache License, Version 2.0 (ALv2), OpenSearch...
» more
Typical application scenariosThe OpenSearch platform is used across a broad range of search , analytics, and observability...
» more
Licensing and pricing modelsThe OpenSearch Project offers open source software licensed under Apache License...
» more

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More resources
ArangoDBOpenSearchVertica infoOpenText™ Vertica™
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 advances graph database fortunes with new funding
6 October 2021, TechTarget

Multimodel database company ArangoDB lands $10M in funding
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7 August 2023, PR Newswire

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25 October 2024, blogs.opentext.com

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20 June 2024, blogs.opentext.com

Querying a Vertica data source in Amazon Athena using the Athena Federated Query SDK
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26 December 2023, The Register

VAST links arms with Vertica for fast analytics
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