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DBMS > Heroic vs. InfluxDB vs. TempoIQ vs. Trino vs. Vertica

Vergleich der Systemeigenschaften Heroic vs. InfluxDB vs. TempoIQ vs. Trino vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameHeroic  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenTempoIQ infofrüher TempoDB  Xaus Vergleich ausschliessenTrino  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
TempoIQ seems to be decommissioned. It will be removed from the DB-Engines ranking.
KurzbeschreibungTime Series DBMS built at Spotify based on Cassandra or Google Cloud Bigtable, and ElasticSearchDBMS for storing time series, events and metricsScalable analytics DBMS for sensor data, provided as a service (SaaS)Fast distributed SQL query engine for big data analytics. Forked from Presto and originally named PrestoSQLCloud 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 DBMSTime Series DBMSTime Series DBMSRelational DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageDocument Store
Key-Value Store
Spatial DBMS
Suchmaschine
Time Series DBMS
Wide Column Store
Spatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte0,46
Rang#265  Overall
#22  Time Series DBMS
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte4,99
Rang#65  Overall
#36  Relational DBMS
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Websitegithub.com/­spotify/­heroicwww.influxdata.com/­products/­influxdb-overviewtempoiq.com (offline)trino.iowww.vertica.com
Technische Dokumentationspotify.github.io/­heroicdocs.influxdata.com/­influxdbtrino.io/­broadcast
trino.io/­docs/­current
vertica.com/­documentation
Social network pagesLinkedInTwitterYouTubeGitHub
EntwicklerSpotifyTempoIQTrino Software FoundationOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr2014201320122012 info2020 rebranded from PrestoSQL2005
Aktuelle Version2.7.6, April 202412.0.3, Jänner 2023
Lizenz infoCommercial or Open SourceOpen Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availablekommerziellOpen Source infoApache Version 2.0kommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinjaneinnein 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.
Starburst Galaxy offers a feature-rich user interface to connect all your data sources, manage your Trino clusters, and query your data.
ImplementierungsspracheJavaGoJavaC++
Server BetriebssystemeLinux
OS X infothrough Homebrew
Linux
macOS infofor devlopment
Linux
DatenschemaschemafreischemafreischemafreijaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder datejaNumeric data and Stringsjajayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinnein
Sekundärindizesja infovia Elasticsearchneindepending on connected data-sourceNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinSQL-like query languageneinjaFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteHQL (Heroic Query Language, a JSON-based language)
HTTP API
HTTP API
JSON over UDP
HTTP APIJDBC
RESTful HTTP API
Trino CLI
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
C#
Java
JavaScript infoNode.js
Python
Ruby
Go
Java
JavaScript (Node.js)
Python
R
Ruby
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresneinneinneinyes, depending on connected data-sourceyes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinneinja infoRealtime Alertsneinyes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoin enterprise version onlydepending on connected data-sourcehorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenjafrei wählbarer Replikationsfaktor infoin enterprise version onlydepending on connected data-sourceMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinneinno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency
Immediate Consistency
depending on connected data-sourceImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren Datenmanipulationenneinneinneindepending on connected data-sourceACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajadepending on connected data-sourceja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja infoDepending on used storage engineneinnein
Berechtigungskonzept infoZugriffskontrolleEinfache Rechteverwaltung mit Benutzeraccountseinfacher Authentication-basierter ZugriffsschutzSQL standard access controlfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
HeroicInfluxDBTempoIQ infofrüher TempoDBTrinoVertica infoOpenText™ Vertica™
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Trino is the fastest open source, massively parallel processing SQL query engine...
» mehr
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,...
» mehr
High performance analtyics and data processing of very large data sets Powerful ANSI...
» mehr
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...
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Performant analytics query engine for data warehouses, data lakes, and data lakehouses...
» 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
Trino is widely adopted across the globe as freely-available open source software....
» mehr
Abiba Systems, Adform, adMarketplace, AmeriPride, Anritsu, AOL, Avito, Auckland Transport,...
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Market metricsFastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
33000+ commits in GitHub 8200+ stargazers in GitHub 1200+ pull requests merged in...
» mehr
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
Trino is an open source project and usage is therefore free. Commercial offerings...
» mehr
Cost-based models and subscription-based models are both available. One license is...
» mehr
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Weitere Ressourcen
HeroicInfluxDBTempoIQ infofrüher TempoDBTrinoVertica 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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