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DBMS > Aerospike vs. Apache Impala vs. ClickHouse vs. InfluxDB vs. Lovefield

Vergleich der Systemeigenschaften Aerospike vs. Apache Impala vs. ClickHouse vs. InfluxDB vs. Lovefield

Redaktionelle Informationen bereitgestellt von DB-Engines
NameAerospike infoFrüher Citrusleaf genannt  Xaus Vergleich ausschliessenApache Impala  Xaus Vergleich ausschliessenClickHouse  Xaus Vergleich ausschliessenInfluxDB  Xaus Vergleich ausschliessenLovefield  Xaus Vergleich ausschliessen
KurzbeschreibungFlash-optimized In-memory NoSQL DatabaseAnalytic DBMS für HadoopA high-performance, column-oriented SQL DBMS for online analytical processing (OLAP) that uses all available system resources to their full potential to process each analytical query as fast as possible. It is available as both an open-source software and a cloud offering.DBMS for storing time series, events and metricsEmbeddable relational database for web apps written in pure JavaScript
Primäres DatenbankmodellDocument Store
Graph DBMS infoleveraging Apache Tinkerpop
Key-Value Store
Spatial DBMS
Relational DBMSRelational DBMSTime Series DBMSRelational DBMS
Sekundäre DatenbankmodelleDocument StoreTime Series DBMSSpatial DBMS infowith GEO package
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
Punkte12,45
Rang#40  Overall
#24  Relational DBMS
Punkte15,55
Rang#38  Overall
#23  Relational DBMS
Punkte24,39
Rang#28  Overall
#1  Time Series DBMS
Punkte0,33
Rang#286  Overall
#131  Relational DBMS
Websiteaerospike.comimpala.apache.orgclickhouse.comwww.influxdata.com/­products/­influxdb-overviewgoogle.github.io/­lovefield
Technische Dokumentationdocs.aerospike.comimpala.apache.org/­impala-docs.htmlclickhouse.com/­docsdocs.influxdata.com/­influxdbgithub.com/­google/­lovefield/­blob/­master/­docs/­spec_index.md
Social network pagesLinkedInTwitterYouTubeFacebook
EntwicklerAerospikeApache Software Foundation infoApache Top-Level Projekt, ursprünglich entwickelt von ClouderaClickhouse Inc.Google
Erscheinungsjahr20122013201620132014
Aktuelle Version7.0, November 20234.1.0, Juni 2022v24.4.1.2088-stable, Mai 20242.7.6, April 20242.1.12, February 2017
Lizenz infoCommercial or Open SourceOpen Source infoApache and AGPL Licenses; open sourced in June 2014; commercial Enterprise Edition availableOpen Source infoApache Version 2Open Source infoApache 2.0Open Source infoMIT-License; commercial enterprise version availableOpen Source infoApache 2.0
Ausschließlich ein Cloud-Service infoNur als Cloud-Service verfügbarneinneinneinneinnein
DBaaS Angebote (gesponserte Links) infoDatabase as a Service

Providers of DBaaS offerings, please contact us to be listed.
  • ClickHouse Cloud: Get the performance you love from open source ClickHouse in a serverless offering that takes care of the details so you can spend more time getting insight out of the fastest database on earth.
  • Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
  • DoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
ImplementierungsspracheCC++C++GoJavaScript
Server BetriebssystemeLinuxLinuxFreeBSD
Linux
macOS
Linux
OS X infothrough Homebrew
server-less, requires a JavaScript environment (browser, Node.js) infotested with Chrome, Firefox, IE, Safari
Datenschemaschemafreijajaschemafreija
Typisierung infovordefinierte Datentypen, z.B. float oder datejajajaNumeric data and Stringsja
XML Unterstützung infoVerarbeitung von Daten in XML Format, beispielsweise Speicherung von XML-Strukturen und/oder Unterstützung von XPath, XQuery, XSLTneinneinneinneinnein
Sekundärindizesjajayesneinja
SQL infoSupport of SQLneinSQL-like DML and DDL statementsClose to ANSI SQL (SQL/JSON + extensions)SQL-like query languageSQL-like query language infovia JavaScript builder pattern
APIs und andere ZugriffskonzepteJDBC
Proprietäres Protokoll
TinkerPop Gremlin
JDBC
ODBC
gRPC
HTTP REST
JDBC
MySQL wire protocol
ODBC
PostgreSQL wire protocol
Proprietäres Protokoll
HTTP API
JSON over UDP
Unterstützte Programmiersprachen.Net
C
C#
C++
Erlang
Go
Java
JavaScript (Node.js)
Lua
Perl
PHP
Python
Ruby
All languages supporting JDBC/ODBCC# info3rd party library
C++
Elixir info3rd party library
Go info3rd party library
Java info3rd party library
JavaScript (Node.js) info3rd party library
Kotlin info3rd party library
Nim info3rd party library
Perl info3rd party library
PHP info3rd party library
Python info3rd party library
R info3rd party library
Ruby info3rd party library
Rust
Scala info3rd party library
.Net
Clojure
Erlang
Go
Haskell
Java
JavaScript
JavaScript (Node.js)
Lisp
Perl
PHP
Python
R
Ruby
Rust
Scala
JavaScript
Server-seitige Scripts infoStored Proceduresbenutzerdefinierte Funktionen infowith Luaja infoBenutzer definierte Funktionen und Integration von Map/Reducejaneinnein
TriggersneinneinneinneinUsing read-only observers
Partitionierungsmechanismen infoMethoden zum Speichern von unterschiedlichen Daten auf unterschiedlichen KnotenShardingShardingkey based and customSharding infoin enterprise version onlykeine
Replikationsmechanismen infoMethoden zum redundanten Speichern von Daten auf mehreren Knotenfrei wählbarer Replikationsfaktorfrei wählbarer ReplikationsfaktorAsynchronous and synchronous physical replication; geographically distributed replicas; support for object storages.frei wählbarer Replikationsfaktor infoin enterprise version onlykeine
MapReduce infoBietet ein API für Map/Reduce Operationenja infoAerospike Aggregation Framework is similar to Map/Reduceja infoAbfragen werden als Map/Reduce Jobs durchgeführtneinneinnein
Konsistenzkonzept infoMethoden zur Sicherstellung der Konsistenz in einem verteilten SystemEventual Consistency in cross-datacenter configuration and Immediate Consistency in local cluster configurationEventual ConsistencyImmediate Consistency
Fremdschlüssel inforeferenzielle Integritätneinneinneinneinja
Transaktionskonzept infoUnterstützung zur Sicherstellung der Datenintegrität bei nicht-atomaren DatenmanipulationenAtomic execution of operationsneinneinneinACID
Concurrency infoUnterstützung von gleichzeitig ausgeführten Datenmanipulationenjajajajaja
Durability infoDauerhafte Speicherung der Datenjajajajayes, by using IndexedDB or the cloud service Firebase Realtime Database
In-Memory Unterstützung infoGibt es Möglichkeiten einige oder alle Strukturen nur im Hauptspeicher zu haltenjaneinjaja infoDepending on used storage engineja infousing MemoryDB
Berechtigungskonzept infoZugriffskontrolleZugriffsrechte für Benutzer und Rollen infonur mit Enterprise EditionZugriffsrechte für Benutzer, Gruppen und Rollen infobasiert auf Apache Sentry und KerberosAccess rights for users and roles. Column and row based policies. Quotas and resource limits. Pluggable authentication with LDAP and Kerberos. Password based, X.509 certificate, and SSH key authentication.Einfache Rechteverwaltung mit Benutzeraccountsnein
Weitere Informationen bereitgestellt vom Systemhersteller
Aerospike infoFrüher Citrusleaf genanntApache ImpalaClickHouseInfluxDBLovefield
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

Wir laden Vertreter der Systemhersteller ein uns zu kontaktieren, um die Systeminformationen zu aktualisieren und zu ergänzen,
sowie um Herstellerinformationen wie Schlüsselkunden, Vorteile gegenüber Konkurrenten und Marktmetriken anzuzeigen.

Zugehörige Produkte und Dienstleistungen
DrittanbieterDoubleCloud: Fully managed ClickHouse alongside best-in-class managed open-source services to build analytics at scale.
» mehr

Aiven for Clickhouse: Managed cloud data warehousing with high-speed analytics.
» mehr

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Weitere Ressourcen
Aerospike infoFrüher Citrusleaf genanntApache ImpalaClickHouseInfluxDBLovefield
DB-Engines Blog Posts

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

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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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bereitgestellt von Google News



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