---
description: Apache Kafka : avantages et inconvénients. Lisez les avis clients, consultez les prix et découvrez les fonctionnalités.
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title: Apache Kafka - Avis, notes, prix et abonnements - Capterra Canada 2026
---

Breadcrumb: [Accueil](/) > [Plateformes iPaaS](/directory/32296/ipaas/software) > [Apache Kafka](/software/1011587/apache-kafka)

# Apache Kafka

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> Apache Kafka, une plateforme de streaming d'événements distribuée open source utilisée par des milliers d'entreprises pour des pipelines de données haute performance, l'analyse de streaming, l'intégration de données et des applications critiques.
> 
> Conclusion : 18 utilisateurs lui ont donné la note de **4.5/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**.

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## Présentation

### Qui utilise Apache Kafka?

Entreprises, Banques, Assurances, Télécommunications.

## Statistiques et notes

| Métrique | Notation | En détail |
| **Note globale** | **4.5/5** | 18 Avis |
| Simplicité | 3.5/5 | D'après l'ensemble des avis |
| Support client | 3.8/5 | D'après l'ensemble des avis |
| Rapport qualité-prix | 3.8/5 | D'après l'ensemble des avis |
|  Fonctionnalités | 4.3/5 | D'après l'ensemble des avis |
| Pourcentage de recommandation | 80% | (8/10 Probabilité de recommander le produit) |

## À propos du vendeur

- **Entreprise**: Apache Software Foundation
- **Fondé**: 2011

## Contexte commercial

- **Public cible**: Travailleur autonome, 2–10, 11–50, 51–200, 201–500, 501–1 000, 1 001–5 000, 5 001–10 000, 10 000+
- **Déploiement et plateformes**: Cloud, SaaS, web, Mac (ordinateur), Windows (ordinateur), Linux (ordinateur)
- **Pays disponibles**: Allemagne

##  Fonctionnalités

- API
- Connecteurs préconstruits
- Intégration des données de cloud
- Tableau de bord

## Ressources d'aide

- Service client/courriel
- FAQ/forums
- Base de connaissances
- Support téléphonique

## Category

- [Plateformes iPaaS](https://fr.capterra.ca/directory/32296/ipaas/software)

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## Avis

### "Reliable Data Streaming" — 5.0/5

> **Ava** | *24 septembre 2024* | Logiciels | Taux de recommandation : 9.0/10
> 
> **Avantages**: It is excellent for handling large-scale real-time data streams. It’s highly reliable and perfect for managing event-driven architectures.
> 
> **Inconvénients**: The setup and configuration can be quite complex, especially for beginners, and requires a solid understanding of distributed systems.

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### "Good stream processing platform" — 4.0/5

> **Utilisateur vérifié** | *5 avril 2022* | Logistique et chaîne d'approvisionnement | Taux de recommandation : 7.0/10
> 
> **Avantages**: Apache Kafka's stream processing capabilities allowed us to move from batch jobs to streaming data pipelines which greatly improved the freshness of our data warehouse.
> 
> **Inconvénients**: It's very challenging to set up, manage, and monitor if you're not using a managed SaaS solution.
> 
> We used Apache Kafka to move our data integration pipelines from batch to streaming. This has given us a more efficient and cost-effective solution to keep our data warehouse up-to-date in near real-time.

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### "Kafka, my best not queue system" — 4.0/5

> **Utilisateur vérifié** | *31 janvier 2022* | Sécurité et enquêtes | Taux de recommandation : 6.0/10
> 
> **Avantages**: The functionality of kafka is just so good, everything works fine and nothing breaks any time. also the distribution is really good
> 
> **Inconvénients**: Really hard to deploy it, and maintain it. depends on a lot of things like zoopkeeper.

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### "Best for the Stream line Data Processing" — 5.0/5

> **Riya** | *27 mars 2023* | Informatique et sécurité réseau | Taux de recommandation : 10.0/10
> 
> **Avantages**: It is an open source which can handle real time data, Due to its scalability and fault tolerance it is the best choice for the large amount of real time data processing. No message will be lost even in the case of software or hardware failure
> 
> **Inconvénients**: It is a complex to setup for those who are new for the distributed network. It is dependent on the zoo keeper which is a single point failure.
> 
> It is designed to handle large volume of data with no data loss where real time data processing is allowed.It has high support and community available on the Internet.

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### "Kafka is great if it fits your use case" — 4.0/5

> **Utilisateur vérifié** | *3 mai 2022* | Services et technologies de l'information | Taux de recommandation : 7.0/10
> 
> **Avantages**: I have usually worked in teams where kafka was already set up and managed by a dedicated team. &#10;&#10;It has been pretty easy to integrate new services into the existing topics and start consuming messages, there was no friction to populate the data needed in those new services.&#10;&#10;Another aspect I liked about kafka is that integrating RBAC access to the topics was not hard at all.
> 
> **Inconvénients**: The hardest part of using kafka, for me has been the operational overhead it produces, it is really time consuming and expensive to set up a cluster and start working with it, this makes me usually not choose it as a first option when starting a project because of these reasons and use instead something more lightweight like SNS/SQS or rabbit.&#10;&#10;Using a managed solution like confluent or kinesis has greatly mitigated this issue although still this requires a monthly cost investment before your workload starts generating revenue.

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## Liens

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