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DBMS > Apache Pinot vs. ArangoDB vs. MaxDB vs. OrigoDB vs. Vertica

Vergleich der Systemeigenschaften Apache Pinot vs. ArangoDB vs. MaxDB vs. OrigoDB vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameApache Pinot  Xaus Vergleich ausschliessenArangoDB  Xaus Vergleich ausschliessenMaxDB infoformerly named Adabas-D  Xaus Vergleich ausschliessenOrigoDB  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungRealtime distributed OLAP datastore, designed to answer OLAP queries with low latencyNative multi-model DBMS for graph, document, key/value and search. All in one engine and accessible with one query language.A robust and reliable RDBMS optimized to run all major SAP solutionsA fully ACID in-memory object graph databaseCloud 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.
Primäres DatenbankmodellRelational DBMSDocument Store
Graph DBMS
Key-Value Store
Suchmaschine
Relational DBMSDocument Store
Object oriented DBMS
Relational DBMS infoColumn oriented
Sekundäre DatenbankmodelleSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,40
Rang#270  Overall
#125  Relational DBMS
Punkte3,32
Rang#90  Overall
#15  Document Stores
#5  Graph DBMS
#12  Key-Value Stores
#10  Suchmaschinen
Punkte2,32
Rang#112  Overall
#55  Relational DBMS
Punkte0,00
Rang#383  Overall
#53  Document Stores
#20  Object oriented DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitepinot.apache.orgarangodb.commaxdb.sap.comorigodb.comwww.vertica.com
Technische Dokumentationdocs.pinot.apache.orgdocs.arangodb.commaxdb.sap.com/­documentationorigodb.com/­docsvertica.com/­documentation
Social network pagesLinkedInTwitterFacebookYouTubeInstagram
EntwicklerApache Software Foundation and contributorsArangoDB Inc.SAP, acquired from Software AG (Adabas-D) in 1997Robert Friberg et alOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr2015201219842009 infounder the name LiveDB2005
Aktuelle Version1.0.0, September 20233.11.5, November 20237.9.10.12, Februar 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache Version 2.0Open Source infoApache Version 2; Commercial license (Enterprise) availablekommerziell infoLimitierte Community Edition gratisOpen Sourcekommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containers
DBaaS Angebote (gesponserte 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.
ImplementierungsspracheJavaC++C++C#C++
Server BetriebssystemeAll OS with a Java JDK11 or higherLinux
OS X
Windows
AIX
HP-UX
Linux
Solaris
Windows
Linux
Windows
Linux
Datenschemajaschemafrei infoInnerhalb einer Collection wird das Schema automatisch erkanntjajaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejaja infostring, double, boolean, list, hashjaUser defined using .NET types and collectionsyes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinnein infocan be achieved using .NETnein
SekundärindizesjajajaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-like query languageneinjaneinFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteJDBCAQL
Foxx Framework
Graph API (Gremlin)
GraphQL query language
HTTP API
Java & SpringData
JSON style queries
VelocyPack/VelocyStream
ADO.NET
JDBC
ODBC
WebDAV
.NET Client API
HTTP API
LINQ
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenGo
Java
Python
C#
C++
Clojure
Elixir
Go
Java
JavaScript (Node.js)
PHP
Python
R
Rust
.Net
C#
Java
Perl
PHP
Python
.NetC#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresJavaScriptjajayes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinjaja infoDomain Eventsyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontal partitioningSharding infoAb Version 2.0keinehorizontale Partitionierung infoclient side managed; servers are not synchronizedhorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenSource-replica replication with configurable replication factorSource-Replica ReplikationSource-Replica ReplikationMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationennein infoMöglich über stored procedures in JavaScriptneinneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency infoEinstellbar per collection oder per Write
Immediate Consistency
OneShard (highly available, fault-tolerant deployment mode with ACID semantics)
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätja inforelationships in graphsjadepending on modelja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajaja infoWrite ahead logja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinjanein
Berechtigungskonzept infoZugriffskontrollejaBenutzer mit feingranularem Berechtigungskonzept entsprechend SQL-StandardRole based authorizationfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Apache PinotArangoDBMaxDB infoformerly named Adabas-DOrigoDBVertica infoOpenText™ Vertica™
Specific characteristicsGraph and Beyond. With more than 11,000 stargazers on GitHub, ArangoDB is the leading...
» mehr
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesConsolidation: As a native multi-model database, can be used as a full blown document...
» mehr
Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» mehr
Typical application scenariosNative multi-model in ArangoDB is being used for a broad range of projects across...
» mehr
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersCisco, Barclays, Refinitive, Siemens Mentor, Kabbage, Liaison, Douglas, MakeMyTrip,...
» mehr
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Market metricsArangoDB is the leading native multi-model database with over 11,000 stargazers on...
» mehr
Licensing and pricing modelsVery permissive Apache 2 License for Community Edition & commercial licenses are...
» mehr
Cost-based models and subscription-based models are both available. One license is...
» mehr

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Weitere Ressourcen
Apache PinotArangoDBMaxDB infoformerly named Adabas-DOrigoDBVertica 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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