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DBMS > InfluxDB vs. Percona Server for MongoDB vs. TypeDB vs. Vertica

Vergleich der Systemeigenschaften InfluxDB vs. Percona Server for MongoDB vs. TypeDB vs. Vertica

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Redaktionelle Informationen bereitgestellt von DB-Engines
NameInfluxDB  Xaus Vergleich ausschliessenPercona Server for MongoDB  Xaus Vergleich ausschliessenTypeDB infoformerly named Grakn  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
KurzbeschreibungDBMS for storing time series, events and metricsA drop-in replacement for MongoDB Community Edition with enterprise-grade features.TypeDB is a strongly-typed database with a rich and logical type system and TypeQL as its query languageCloud 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 DatenbankmodellTime Series DBMSDocument StoreGraph DBMS
Relational DBMS infoOften described as a 'hyper-relational' database, since it implements the 'Entity-Relationship Paradigm' to manage complex data structures and ontologies.
Relational DBMS infoColumn oriented
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte26,56
Rang#28  Overall
#1  Time Series DBMS
Punkte0,55
Rang#253  Overall
#39  Document Stores
Punkte0,81
Rang#217  Overall
#19  Graph DBMS
#99  Relational DBMS
Punkte11,40
Rang#43  Overall
#27  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewwww.percona.com/­mongodb/­software/­percona-server-for-mongodbtypedb.comwww.vertica.com
Technische Dokumentationdocs.influxdata.com/­influxdbdocs.percona.com/­percona-distribution-for-mongodbtypedb.com/­docsvertica.com/­documentation
EntwicklerPerconaVaticleOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr2013201520162005
Aktuelle Version2.7.5, Jaenner 20243.4.10-2.10, November 20172.26.3, Jaenner 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoGPL Version 2Open Source infoGPL Version 3, commercial licenses availablekommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinnein 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.
ImplementierungsspracheGoC++JavaC++
Server BetriebssystemeLinux
OS X infothrough Homebrew
LinuxLinux
OS X
Windows
Linux
DatenschemaschemafreischemafreijaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder dateNumeric data and Stringsjajayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
SekundärindizesneinjajaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLSQL-like query languageneinneinFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteHTTP API
JSON over UDP
Proprietäres Protokoll basierend auf JSONgRPC protocol
TypeDB Console (shell)
TypeDB Studio (Visualisation software- previously TypeDB Workbase)
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte Programmiersprachen.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Actionscript
C
C#
C++
Clojure
ColdFusion
D
Dart
Delphi
Erlang
Go
Groovy
Haskell
Java
JavaScript
Lisp
Lua
MatLab
Perl
PHP
PowerShell
Prolog
Python
R
Ruby
Scala
Smalltalk
All JVM based languages
Groovy
Java
JavaScript (Node.js)
Python
Scala
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored ProceduresneinJavaScriptneinyes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinneinneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoin enterprise version onlyShardingSharding infoby using Cassandrahorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infoin enterprise version onlySource-Replica ReplikationMulti-Source Replikation infoby using CassandraMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenneinjaja infoby using Apache Kafka and Apache Zookeeperno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
Immediate ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinnein infosubstituted by the relationship featureja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinneinACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja infoDepending on used storage engineja infovia In-Memory Engineneinnein
Berechtigungskonzept infoZugriffskontrolleEinfache Rechteverwaltung mit BenutzeraccountsAccess rights for users and rolesyes infoat REST API level; other APIs in progressfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
InfluxDBPercona Server for MongoDBTypeDB infoformerly named GraknVertica infoOpenText™ Vertica™
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
TypeDB is a polymorphic database with a conceptual data model, a strong subtyping...
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Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
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TypeDB provides a new level of expressivity, extensibility, interoperability, and...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
» mehr
Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Life sciences : TypeDB makes working with biological data much easier and accelerates...
» mehr
Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
» mehr
Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
» mehr
Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
Apache f or language drivers, and AGPL and Commercial for the database server. The...
» mehr
Cost-based models and subscription-based models are both available. One license is...
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Neuigkeiten

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8. April 2024

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29. März 2024

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26. März 2024

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Weitere Ressourcen
InfluxDBPercona Server for MongoDBTypeDB infoformerly named GraknVertica infoOpenText™ Vertica™
DB-Engines Blog Posts

Why Build a Time Series Data Platform?
20. Juli 2017, Paul Dix (guest author)

Time Series DBMS are the database category with the fastest increase in popularity
4. Juli 2016, Matthias Gelbmann

Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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