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DBMS > Fauna vs. InfluxDB vs. SpatiaLite vs. Titan vs. Vertica

Vergleich der Systemeigenschaften Fauna vs. InfluxDB vs. SpatiaLite vs. Titan vs. Vertica

Redaktionelle Informationen bereitgestellt von DB-Engines
NameFauna infopreviously named FaunaDB  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenSpatiaLite  Xaus Vergleich ausschliessenTitan  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessen
Titan has been decommisioned after the takeover by Datastax. It will be removed from the DB-Engines ranking. A fork has been open-sourced as JanusGraph.
KurzbeschreibungFauna 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.DBMS for storing time series, events and metricsSpatial extension of SQLiteTitan ist ein Graph DBMS optimiert für verteilte Clusters.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.
Primäres DatenbankmodellDocument Store
Graph DBMS
Relational DBMS
Time Series DBMS
Time Series DBMSSpatial DBMSGraph DBMSRelational DBMS infoColumn oriented
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageRelational DBMSSpatial DBMS
Time Series DBMS
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte1,52
Rang#153  Overall
#26  Document Stores
#14  Graph DBMS
#71  Relational DBMS
#13  Time Series DBMS
Punkte25,83
Rang#28  Overall
#1  Time Series DBMS
Punkte1,60
Rang#149  Overall
#3  Spatial DBMS
Punkte10,68
Rang#43  Overall
#27  Relational DBMS
Websitefauna.comwww.influxdata.com/­products/­influxdb-overviewwww.gaia-gis.it/­fossil/­libspatialite/­indexgithub.com/­thinkaurelius/­titanwww.vertica.com
Technische Dokumentationdocs.fauna.comdocs.influxdata.com/­influxdbwww.gaia-gis.it/­gaia-sins/­spatialite_topics.htmlgithub.com/­thinkaurelius/­titan/­wikivertica.com/­documentation
EntwicklerFauna, Inc.Alessandro FurieriAurelius, owned by DataStaxOpenText infopreviously Micro Focus and Hewlett Packard
Erscheinungsjahr20142013200820122005
Aktuelle Version2.7.6, April 20245.0.0, August 202012.0.3, Jänner 2023
Lizenz infoCommercial or Open SourcekommerziellOpen Source infoMIT-License; commercial enterprise version availableOpen Source infoMPL 1.1, GPL v2.0 or LGPL v2.1Open Source infoApache Lizenz, Version 2.0kommerziell infoLimitierte Community Edition gratis
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarjaneinneinneinnein 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.
ImplementierungsspracheScalaGoC++JavaC++
Server BetriebssystemegehostetLinux
OS X infothrough Homebrew
serverlosLinux
OS X
Unix
Windows
Linux
DatenschemaschemafreischemafreijajaYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.
Typisierung infovordefinierte Datentypen, z.B. float oder dateneinNumeric data and Stringsjajayes
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
SekundärindizesjaneinjajaNo Indexes Required. Different internal optimization strategy, but same functionality included.
SQL infoSupport of SQLneinSQL-like query languagejaneinFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.
APIs und andere ZugriffskonzepteRESTful HTTP APIHTTP API
JSON over UDP
Java API
TinkerPop Blueprints
TinkerPop Frames
TinkerPop Gremlin
TinkerPop Rexster
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
Unterstützte ProgrammiersprachenC#
Go
Java
JavaScript
Python
Ruby
Scala
Swift
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
Clojure
Java
Python
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionenneinneinjayes, PostgreSQL PL/pgSQL, with minor differences
Triggersneinneinjajayes, called Custom Alerts
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen Knotenhorizontale Partitionierung infoconsistent hashingSharding infoin enterprise version onlykeineja infoüber integrierbare Storage Backendshorizontal partitioning, hierarchical partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren KnotenMulti-Source Replikationfrei wählbarer Replikationsfaktor infoin enterprise version onlykeinejaMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.
MapReduce infoBietet ein API für Map/Reduce Operationenneinneinneinja infomittels Faunus, eine Graph Analytics Engineno infoBi-directional Spark integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemImmediate ConsistencyEventual Consistency
Immediate Consistency
Immediate Consistency
Fremdschlüssel inforeferenzielle Integritätjaneinjaja infoBeziehungen in Graphja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenACIDneinACIDACIDACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajaja infoUnterstützt verschiedene Storage Backends: Cassandra, HBase, Berkeley DB, Akiban, Hazelcastja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenneinja infoDepending on used storage enginejanein
Berechtigungskonzept infoZugriffskontrolleIdentity management, authentication, and access controlEinfache Rechteverwaltung mit BenutzeraccountsneinBenutzer Authentification und Sicherheit via Rexster Graph Serverfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hash
Weitere Informationen bereitgestellt vom Systemhersteller
Fauna infopreviously named FaunaDBInfluxDBSpatiaLiteTitanVertica infoOpenText™ Vertica™
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
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Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
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Competitive advantagesTime to Value InfluxDB is available in all the popular languages and frameworks,...
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Fast, scalable, and capable of high concurrency. Separation of compute/storage leverages...
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Typical application scenariosIoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
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Communication and network analytics, Embedded analytics, Fraud monitoring and Risk...
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Key customersInfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
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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
Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
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Cost-based models and subscription-based models are both available. One license is...
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Neuigkeiten

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7. Mai 2024

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2. Mai 2024

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Getting the Current Time in C#: A Guide
26. April 2024

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Weitere Ressourcen
Fauna infopreviously named FaunaDBInfluxDBSpatiaLiteTitanVertica 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
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Time Series DBMS as a new trend?
1. Juni 2015, Paul Andlinger

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Spatial database management systems
6. April 2021, Matthias Gelbmann

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Graph DBMS increased their popularity by 500% within the last 2 years
3. März 2015, Paul Andlinger

Graph DBMSs are gaining in popularity faster than any other database category
21. Januar 2014, Matthias Gelbmann

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