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DBMS > InfluxDB vs. Microsoft Azure Cosmos DB vs. Riak TS vs. Vertica vs. YugabyteDB

Vergleich der Systemeigenschaften InfluxDB vs. Microsoft Azure Cosmos DB vs. Riak TS vs. Vertica vs. YugabyteDB

Redaktionelle Informationen bereitgestellt von DB-Engines
NameInfluxDB  Xaus Vergleich ausschliessenMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDB  Xaus Vergleich ausschliessenRiak TS  Xaus Vergleich ausschliessenVertica infoOpenText™ Vertica™  Xaus Vergleich ausschliessenYugabyteDB  Xaus Vergleich ausschliessen
KurzbeschreibungDBMS for storing time series, events and metricsGlobally distributed, horizontally scalable, multi-model database serviceRiak TS is a distributed NoSQL database optimized for time series data and based on Riak KVCloud 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.High-performance distributed SQL database for global, internet-scale applications. Wire and feature compatible with PostgreSQL.
Primäres DatenbankmodellTime Series DBMSDocument Store
Graph DBMS
Key-Value Store
Wide Column Store
Time Series DBMSRelational DBMS infoColumn orientedRelational DBMS
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageSpatial DBMSSpatial DBMS
Time Series DBMS
Document Store
Wide Column Store
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte27,71
Rang#27  Overall
#4  Document Stores
#2  Graph DBMS
#3  Key-Value Stores
#3  Wide Column Stores
Punkte0,28
Rang#307  Overall
#27  Time Series DBMS
Punkte10,06
Rang#42  Overall
#26  Relational DBMS
Punkte2,63
Rang#109  Overall
#53  Relational DBMS
Websitewww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­cosmos-dbwww.vertica.comwww.yugabyte.com
Technische Dokumentationdocs.influxdata.com/­influxdblearn.microsoft.com/­azure/­cosmos-dbwww.tiot.jp/­riak-docs/­riak/­ts/­latestvertica.com/­documentationdocs.yugabyte.com
github.com/­yugabyte/­yugabyte-db
EntwicklerMicrosoftOpen Source, formerly Basho TechnologiesOpenText infopreviously Micro Focus and Hewlett PackardYugabyte Inc.
Erscheinungsjahr20132014201520052017
Aktuelle Version2.7.6, April 20243.0.0, September 202212.0.3, Jänner 20232.1, September 2023
Lizenz infoCommercial or Open SourceOpen Source infoMIT-License; commercial enterprise version availablekommerziellOpen Sourcekommerziell infoLimitierte Community Edition gratisOpen Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinnein infoon-premises, all major clouds - Amazon AWS, Microsoft Azure, Google Cloud Platform and containersnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
YugabyteDB Managed is the fully managed database-as-a-service offering of YugabyteDB. Get started quickly, and effortlessly ensure continuous availability and limitless scale of your cloud native applications.
ImplementierungsspracheGoErlangC++C und C++
Server BetriebssystemeLinux
OS X infothrough Homebrew
gehostetLinux
OS X
LinuxLinux
OS X
DatenschemaschemafreischemafreischemafreiYes, but also semi-structure/unstructured data storage, and complex hierarchical data (like Parquet) stored and/or queried.depending on used data model
Typisierung infovordefinierte Datentypen, z.B. float oder dateNumeric data and Stringsja infoJSON typesneinyesja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinnein
Sekundärindizesneinja infoAll properties auto-indexed by defaulteingeschränktNo Indexes Required. Different internal optimization strategy, but same functionality included.ja
SQL infoSupport of SQLSQL-like query languageSQL-like query languageyes, limitedFull 1999 standard plus machine learning, time series and geospatial. Over 650 functions.yes, PostgreSQL compatible
APIs und andere ZugriffskonzepteHTTP API
JSON over UDP
DocumentDB API
Graph API (Gremlin)
MongoDB API
RESTful HTTP API
Table API
HTTP API
Native Erlang Interface
ADO.NET
JDBC
Kafka Connector
ODBC
RESTful HTTP API
Spark Connector
vSQL infocharacter-based, interactive, front-end utility
JDBC
YCQL, an SQL-based flexible-schema API with its roots in Cassandra Query Language
YSQL - a fully relational SQL API that is wire compatible with the SQL language in PostgreSQL
Unterstützte Programmiersprachen.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
C#
Java
JavaScript
JavaScript (Node.js)
MongoDB client drivers written for various programming languages
Python
C infounofficial client library
C#
C++ infounofficial client library
Clojure infounofficial client library
Dart infounofficial client library
Erlang
Go infounofficial client library
Groovy infounofficial client library
Haskell infounofficial client library
Java
JavaScript infounofficial client library
Lisp infounofficial client library
Perl infounofficial client library
PHP
Python
Ruby
Scala infounofficial client library
Smalltalk infounofficial client library
C#
C++
Go
Java
JavaScript (Node.js)
Perl
PHP
Python
R
C
C#
C++
Go
Java
JavaScript (Node.js)
PHP
Python
Ruby
Rust
Scala
Server-seitige Scripts infoStored ProceduresneinJavaScriptErlangyes, PostgreSQL PL/pgSQL, with minor differencesja infosql, plpgsql, C
TriggersneinJavaScriptja infopre-commit hooks and post-commit hooksyes, called Custom Alertsja
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenSharding infoin enterprise version onlySharding infoImplizit im Cloud ServiceShardinghorizontal partitioning, hierarchical partitioningHash and Range Sharding, row-level geo-partitioning
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktor infoin enterprise version onlyja infoImplizit im Cloud Servicefrei wählbarer ReplikationsfaktorMulti-Source Replikation infoOne, or more copies of data replicated across nodes, or object-store used for repository.Based on Raft distributed consensus protocol, minimum 3 replicas for continuous availability
MapReduce infoBietet ein API für Map/Reduce Operationenneinwith Hadoop integration infoIntegration with Hadoop/HDInsight on Azure*jano infoBi-directional Spark integrationnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemBounded Staleness
Consistent Prefix
Eventual Consistency
Immediate Consistency infoConsistency level configurable on request level
Session Consistency
Eventual ConsistencyImmediate ConsistencyStrong consistency on writes and tunable consistency on reads
Fremdschlüssel inforeferenzielle Integritätneinneinnein infolinks between datasets can be storedjaja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenneinMulti-item ACID transactions with snapshot isolation within a partitionneinACIDDistributed ACID with Serializable & Snapshot Isolation. Inspired by Google Spanner architecture.
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja infobased on RocksDB
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenja infoDepending on used storage engineneinnein
Berechtigungskonzept infoZugriffskontrolleEinfache Rechteverwaltung mit BenutzeraccountsZugriffsrechte bis auf item level einstellbarneinfine grained access rights according to SQL-standard; supports Kerberos, LDAP, Ident and hashja
Weitere Informationen bereitgestellt vom Systemhersteller
InfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRiak TSVertica infoOpenText™ Vertica™YugabyteDB
Specific characteristicsInfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Deploy-anywhere database for large-scale analytical deployments. Deploy off-cloud,...
» mehr
YugabyteDB is an open source distributed SQL database for cloud native transactional...
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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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PostgreSQL compatible: Get instantly productive with a PostgreSQL compatible RDBMS....
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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...
» mehr
Systems of record and engagement for cloud native applications that require resilience,...
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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
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2 Million+ lifetime clusters deployed, 6.5K+ GitHub stars, 7K YugabyteDB Community...
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Licensing and pricing modelsOpen source core with closed source clustering available either on-premise or on...
» mehr
Cost-based models and subscription-based models are both available. One license is...
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Apache 2.0 license for the database
» mehr
Neuigkeiten

Scaling Data Collection: Solving Renewable Energy Challenges with InfluxDB
6. Juni 2024

Deadman Alerts with Grafana and InfluxDB Cloud 3.0
5. Juni 2024

Chasing the Skies: Monitoring Flights with InfluxDB
4. Juni 2024

Monitoring Your Cloud Environments and Applications with InfluxDB
30. Mai 2024

Webinar Recap: Unleash the Full Potential of Your Time Series Data with InfluxDB and AWS
29. Mai 2024

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Weitere Ressourcen
InfluxDBMicrosoft Azure Cosmos DB infoformer name was Azure DocumentDBRiak TSVertica infoOpenText™ Vertica™YugabyteDB
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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