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DBMS > ArangoDB vs. Machbase Neo vs. Netezza vs. PieCloudDB

System Properties Comparison ArangoDB vs. Machbase Neo vs. Netezza vs. PieCloudDB

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Editorial information provided by DB-Engines
NameArangoDB  Xexclude from comparisonMachbase Neo infoFormer name was Infiniflux  Xexclude from comparisonNetezza infoAlso called PureData System for Analytics by IBM  Xexclude from comparisonPieCloudDB  Xexclude from comparison
DescriptionNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.TimeSeries DBMS for AIoT and BigDataData warehouse and analytics appliance part of IBM PureSystemsA cloud-native analytic database platform with new technologoy for elastic MPP
Primary database modelDocument store
Graph DBMS
Key-value store
Search engine
Time Series DBMSRelational DBMSRelational DBMS
DB-Engines Ranking infomeasures the popularity of database management systemsranking trend
Trend Chart
Score3.30
Rank#82  Overall
#14  Document stores
#5  Graph DBMS
#10  Key-value stores
#10  Search engines
Score0.07
Rank#348  Overall
#34  Time Series DBMS
Score7.56
Rank#48  Overall
#31  Relational DBMS
Score0.37
Rank#271  Overall
#127  Relational DBMS
Websitearangodb.commachbase.comwww.ibm.com/­products/­netezzawww.openpie.com
Technical documentationdocs.arangodb.commachbase.com/­dbms
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
DeveloperArangoDB Inc.MachbaseIBMOpenPie
Initial release201220132000
Current release3.11.5, November 2023V8.0, August 20232.1, January 2023
License infoCommercial or Open SourceOpen Source infoApache Version 2; Commercial license (Enterprise) availablecommercial infofree test version availablecommercialcommercial
Cloud-based only infoOnly available as a cloud servicenononoyes
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++C
Server operating systemsLinux
OS X
Windows
Linux
macOS
Windows
Linux infoincluded in appliancehosted
Data schemeschema-free infoautomatically recognizes schema within a collectionyesyesyes
Typing infopredefined data types such as float or dateyes infostring, double, boolean, list, hashyesyesyes
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 indexesyesyesyesyes
SQL infoSupport of SQLnoSQL-like query languageyesyes
APIs and other access methodsAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
gRPC
HTTP REST
JDBC
MQTT (Message Queue Telemetry Transport)
ODBC
JDBC
ODBC
OLE DB
CLI Client
JDBC
ODBC
Supported programming languagesC#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
C
C#
C++
Go
Java
JavaScript
PHP infovia ODBC
Python
R infovia ODBC
Scala
C
C++
Fortran
Java
Lua
Perl
Python
R
Java
PL/SQL
Python
R
Server-side scripts infoStored proceduresJavaScriptnoyesuser defined functions
Triggersnononono
Partitioning methods infoMethods for storing different data on different nodesSharding infosince version 2.0ShardingShardingyes
Replication methods infoMethods for redundantly storing data on multiple nodesSource-replica replication with configurable replication factorselectable replication factorSource-replica replicationyes
MapReduce infoOffers an API for user-defined Map/Reduce methodsno infocan be done with stored procedures in JavaScriptnoyes
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 graphsnonono
Transaction concepts infoSupport to ensure data integrity after non-atomic manipulations of dataACIDnoACIDACID
Concurrency infoSupport for concurrent manipulation of datayesyesyesyes
Durability infoSupport for making data persistentyesnoyesyes
In-memory capabilities infoIs there an option to define some or all structures to be held in-memory only.yes infovolatile and lookup table
User concepts infoAccess controlyessimple password-based access controlUsers with fine-grained authorization conceptUser Roles and pluggable authentication with full SQL Standard
More information provided by the system vendor
ArangoDBMachbase Neo infoFormer name was InfinifluxNetezza infoAlso called PureData System for Analytics by IBMPieCloudDB
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» more
PieCloudDB, OpenPie's flagship product, is a cutting-edge cloud-native data warehouse....
» more
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» more
Extreme Elastic: PieCloudDB utilizes a cutting-edge eMPP cloud-native architecture...
» more
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» more
PieCloudDB is ideal for Data mining applications that require extreme scalability...
» more
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» more
Sail-Cloud China Shipbuilding Group Haizhou System Soochow Securities ​etc.,
» 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
PieCloudDB Community Edition: Community License, Free Download, Self-Hosted Deployment;...
» more

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More resources
ArangoDBMachbase Neo infoFormer name was InfinifluxNetezza infoAlso called PureData System for Analytics by IBMPieCloudDB
DB-Engines blog posts

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

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