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DBMS > Aerospike vs. Alibaba Cloud TSDB vs. InfluxDB vs. Microsoft Azure Data Explorer vs. Oracle NoSQL

Vergleich der Systemeigenschaften Aerospike vs. Alibaba Cloud TSDB vs. InfluxDB vs. Microsoft Azure Data Explorer vs. Oracle NoSQL

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAerospike infoFrüher Citrusleaf genannt  Xaus Vergleich ausschliessenAlibaba Cloud TSDB  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenMicrosoft Azure Data Explorer  Xaus Vergleich ausschliessenOracle NoSQL  Xaus Vergleich ausschliessen
KurzbeschreibungFlash-optimized In-memory NoSQL DatabaseA stable, reliable, and cost-effective online high-performance time series database serviceDBMS for storing time series, events and metricsFully managed big data interactive analytics platformA multi-model, scalable, distributed NoSQL database, designed to provide highly reliable, flexible, and available data management across a configurable set of storage nodes
Primäres DatenbankmodellDocument Store
Graph DBMS infoleveraging Apache Tinkerpop
Key-Value Store
Spatial DBMS
Time Series DBMSTime Series DBMSRelational DBMS infocolumn orientedDocument Store
Key-Value Store
Relational DBMS
Sekundäre DatenbankmodelleSpatial DBMS infowith GEO packageDocument Store infoIf a column is of type dynamic docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-types/­dynamic then it's possible to add arbitrary JSON documents in this cell
Event Store infothis is the general usage pattern at Microsoft. Billing, Logs, Telemetry events are stored in ADX and the state of an individual entity is defined by the arg_max(timestamps)
Spatial DBMS
Suchmaschine infosupport for complex search expressions docs.microsoft.com/­en-us/­azure/­kusto/­query/­parseoperator FTS, Geospatial docs.microsoft.com/­en-us/­azure/­kusto/­query/­geo-point-to-geohash-function distributed search -> ADX acts as a distributed search engine
Time Series DBMS infosee docs.microsoft.com/­en-us/­azure/­data-explorer/­time-series-analysis
DB-Engines Ranking infomisst die Popularität von Datenbankmanagement- systemenranking trend
Trend Chart
Punkte5,51
Rang#60  Overall
#10  Document Stores
#3  Graph DBMS
#6  Key-Value Stores
#2  Spatial DBMS
Punkte0,29
Rang#301  Overall
#26  Time Series DBMS
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte3,80
Rang#81  Overall
#43  Relational DBMS
Punkte3,05
Rang#97  Overall
#17  Document Stores
#16  Key-Value Stores
#50  Relational DBMS
Websiteaerospike.comwww.alibabacloud.com/­product/­hitsdbwww.influxdata.com/­products/­influxdb-overviewazure.microsoft.com/­services/­data-explorerwww.oracle.com/­database/­nosql/­technologies/­nosql
Technische Dokumentationdocs.aerospike.comwww.alibabacloud.com/­help/­en/­time-series-database/­latest/­what-is-tsdbdocs.influxdata.com/­influxdbdocs.microsoft.com/­en-us/­azure/­data-explorerdocs.oracle.com/­en/­database/­other-databases/­nosql-database/­index.html
Social network pagesLinkedInTwitterYouTubeFacebook
EntwicklerAerospikeAlibabaMicrosoftOracle
Erscheinungsjahr2012201320192011
Aktuelle Version7.0, November 20232.7.6, April 2024cloud service with continuous releases24.1, Mai 2024
Lizenz infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availablekommerziellOpen Source infoMIT-License; commercial enterprise version availablekommerziellOpen Source infoProprietary for Enterprise Edition (Oracle Database EE license has Oracle NoSQL database EE covered: details)
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinjaneinjanein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
ImplementierungsspracheCGoJava
Server BetriebssystemeLinuxgehostetLinux
OS X infothrough Homebrew
gehostetLinux
Solaris SPARC/x86
DatenschemaschemafreischemafreischemafreiFixed schema with schema-less datatypes (dynamic)Support Fixed schema and Schema-less deployment with the ability to interoperate between them.
Typisierung infovordefinierte Datentypen, z.B. float oder datejaNumeric data and StringsNumeric data and Stringsja infobool, datetime, dynamic, guid, int, long, real, string, timespan, double: docs.microsoft.com/­en-us/­azure/­kusto/­query/­scalar-data-typesoptional
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinjanein
Sekundärindizesjaneinneinall fields are automatically indexedja
SQL infoSupport of SQLneinneinSQL-like query languageKusto Query Language (KQL), SQL subsetSQL-like DML and DDL statements
APIs und andere ZugriffskonzepteJDBC
Proprietäres Protokoll
TinkerPop Gremlin
HTTP RESTHTTP API
JSON over UDP
Microsoft SQL Server communication protocol (MS-TDS)
RESTful HTTP API
RESTful HTTP API
Unterstützte Programmiersprachen.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
Java.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
.Net
Go
Java
JavaScript (Node.js)
PowerShell
Python
R
C
C#
Go
Java
JavaScript (Node.js)
Python
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infowith LuaneinneinYes, possible languages: KQL, Python, Rnein
Triggersneinneinneinja infosee docs.microsoft.com/­en-us/­azure/­kusto/­management/­updatepolicynein
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingSharding infoin enterprise version onlySharding infoImplicit feature of the cloud serviceSharding
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktorfrei wählbarer Replikationsfaktor infoin enterprise version onlyja infoImplicit feature of the cloud service. Replication either local, cross-facility or geo-redundant.Electable source-replica replication per shard. Support distributed global deployment with Multi-region table feature
MapReduce infoBietet ein API für Map/Reduce Operationenja infoAerospike Aggregation Framework is similar to Map/ReduceneinneinSpark connector (open source): github.com/­Azure/­azure-kusto-sparkwith Hadoop integration
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationImmediate ConsistencyEventual Consistency
Immediate Consistency
Eventual Consistency
Immediate Consistency infoabhängig von Konfiguration
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinnein
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of operationsneinneinneinkonfigurierbar infoACID innerhalb eines 'storage nodes' (=shard)
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajaja
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinja infoDepending on used storage engineneinja infooff heap cache
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen infonur mit Enterprise EditionAccess managed on TSDB instance levelEinfache Rechteverwaltung mit BenutzeraccountsAzure Active Directory AuthenticationZugriffsrechte für Benutzer und Rollen
Weitere Informationen bereitgestellt vom Systemhersteller
Aerospike infoFrüher Citrusleaf genanntAlibaba Cloud TSDBInfluxDBMicrosoft Azure Data ExplorerOracle NoSQL
Specific characteristicsAerospike is an enterprise-class, NoSQL database solution delivering predictable...
» mehr
InfluxData is the creator of InfluxDB , the open source time series database. It...
» mehr
Competitive advantagesOptimized for use with SSDs (solid-state hard drives) Scales horizontally and vertically...
» mehr
Time to Value InfluxDB is available in all the popular languages and frameworks,...
» mehr
Typical application scenariosAerospike excels in mission-critical applications that have mixed read/write workloads...
» mehr
IoT & Sensor Monitoring Developers are witnessing the instrumentation of every available...
» mehr
Key customersNielsen, Williams-Sonoma, Inmobi, AppNexus, Telco (confidential), Financial Services...
» mehr
InfluxData has more than 1,900 paying customers, including customers include MuleSoft,...
» mehr
Market metricsAerospike's combination of speed, scalability, and reliability delivers 10x performance...
» mehr
Fastest-growing database to drive 27,500 GitHub stars Over 750,000 daily active instances
» mehr
Licensing and pricing modelsSubscription-based Enterprise Edition and free, open-source Community Edition
» mehr
Open source core with closed source clustering available either on-premise or on...
» mehr
Neuigkeiten

Aerospike, AWS, Google, Glean, and other Industry Leaders Speaking at Real-time Data Summit 2024
5. Juni 2024

Aerospike a Winner in 2024 Business Sustainability Awards
22. Mai 2024

New Aerospike Release Lets Enterprises Consolidate Expensive Legacy Cache And Database Platforms
15. Mai 2024

Aerospike Recognized by Independent Research Firm Among Notable Vendors in Vector Databases Report
7. Mai 2024

Aerospike Closes $109M in Growth Capital from Sumeru Equity Partners
4. April 2024

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
Aerospike infoFrüher Citrusleaf genanntAlibaba Cloud TSDBInfluxDBMicrosoft Azure Data ExplorerOracle NoSQL
DB-Engines Blog Posts

Evaluating Hbase and Aerospike Solutions for Real-time System of Record
17. März 2020,  Srini Srinivasan, Aerospike (sponsor) 

alle anzeigen

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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Erwähnungen in aktuellen Nachrichten

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5. Juni 2024, Datanami

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