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DBMS > AnzoGraph DB vs. ArangoDB vs. Fauna vs. Vertica

System Properties Comparison AnzoGraph DB vs. ArangoDB vs. Fauna vs. Vertica

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Editorial information provided by DB-Engines
NameAnzoGraph DB  Xexclude from comparisonArangoDB  Xexclude from comparisonFauna infopreviously named FaunaDB  Xexclude from comparisonVertica infoOpenText™ Vertica™  Xexclude from comparison
DescriptionScalable graph database built for online analytics and data harmonization with MPP scaling, high-performance analytical algorithms and reasoning, and virtualizationNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.Fauna provides a web-native interface, with support for GraphQL and custom business logic that integrates seamlessly with the rest of the serverless ecosystem. The underlying globally distributed storage and compute platform is fast, consistent, and reliable, with a modern security infrastructure.Cloud 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 modelGraph DBMS
RDF store
Document store
Graph DBMS
Key-value store
Search engine
Document store
Graph DBMS
Relational DBMS
Time Series DBMS
Relational DBMS infoColumn oriented
Secondary database modelsSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score0.27
Rank#302  Overall
#24  Graph DBMS
#13  RDF stores
Score3.77
Rank#87  Overall
#15  Document stores
#5  Graph DBMS
#12  Key-value stores
#10  Search engines
Score1.55
Rank#154  Overall
#26  Document stores
#14  Graph DBMS
#72  Relational DBMS
#13  Time Series DBMS
Score11.40
Rank#43  Overall
#27  Relational DBMS
Websitecambridgesemantics.com/­anzographarangodb.comfauna.comwww.vertica.com
Technical documentationdocs.cambridgesemantics.com/­anzograph/­userdoc/­home.htmdocs.arangodb.comdocs.fauna.comvertica.com/­documentation
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperCambridge SemanticsArangoDB Inc.Fauna, Inc.OpenText infopreviously Micro Focus and Hewlett Packard
Initial release2018201220142005
Current release2.3, January 20213.11.5, November 202312.0.3, January 2023
License infoCommercial or Open Sourcecommercial infofree trial version availableOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercialcommercial infoLimited community edition free
Cloud-based only infoOnly available as a cloud servicenonoyesno infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS offerings (sponsored links) infoDatabase as a Service

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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++ScalaC++
Server operating systemsLinuxLinux
OS X
Windows
hostedLinux
Data schemeSchema-free and OWL/RDFS-schema supportschema-free infoautomatically recognizes schema within a collectionschema-freeYes, 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, hashnoyes
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.nonono
Secondary indexesnoyesyesNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSPARQL and SPARQL* as primary query language. Cypher preview.nonoFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs and other access methodsApache Mule
gRPC
JDBC
Kafka
OData access for BI tools
OpenCypher
RESTful HTTP API
SPARQL
AQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
RESTful HTTP APIADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Supported programming languagesC++
Java
Python
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-side scripts infoStored proceduresuser defined functions and aggregatesJavaScriptuser defined functionsyes, PostgreSQL PL/pgSQL, with minor differences
Triggersnononoyes, called Custom Alerts
Partitioning methods infoMethods for storing different data on different nodesAutomatic shardingSharding infosince version 2.0horizontal partitioning infoconsistent hashinghorizontal partitioning, hierarchical partitioning
Replication methods infoMethods for redundantly storing data on multiple nodesMulti-source replication in MPP-ClusterSource-replica replication with configurable replication factorMulti-source replicationMulti-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 methodsKerberos/HDFS data loadingno infocan be done with stored procedures in JavaScriptnono infoBi-directional Spark integration
Consistency concepts infoMethods to ensure consistency in a distributed systemImmediate Consistency in MPP-ClusterEventual Consistency infoconfigurable per collection or per write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate Consistency
Foreign keys infoReferential integrityno infonot needed in graphsyes inforelationships in graphsyesyes
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDACIDACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesyesyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yesnono
User concepts infoAccess controlAccess rights for users and rolesyesIdentity management, authentication, and access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
More information provided by the system vendor
AnzoGraph DBArangoDBFauna infopreviously named FaunaDBVertica infoOpenText™ Vertica™
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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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 11,000 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 both available. One license is...
» more

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More resources
AnzoGraph DBArangoDBFauna infopreviously named FaunaDBVertica infoOpenText™ Vertica™
DB-Engines blog posts

The Weight of Relational Databases: Time for Multi-Model?
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