---
description: Panoply : qu'en pensent les utilisateurs ? Lisez les avis clients sur Panoply, consultez les prix, tarifs, abonnements et découvrez ses fonctionnalités grâce à Capterra Luxembourg.
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title: Panoply - Avis, notes, prix et abonnements - Capterra Luxembourg 2026
---

Breadcrumb: [Accueil](/) > [Logiciels de qualité des données](/directory/31126/data-quality/software) > [Panoply](/software/168034/panoply)

# Panoply

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> Panoply : un data warehouse cloud autonome et optimisé par IA. Associez vos sources de données à votre outil de BI en quelques minutes.
> 
> Conclusion : 21 utilisateurs lui ont donné la note de **4.0/5**. Figure au meilleur classement pour **Probabilité de recommander le produit**.

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## Présentation

### Qui utilise Panoply ?

Analystes de données, ingénieurs, architectes et scientifiques responsables de la disponibilité/de la convivialité de données hétérogènes. Panoply est idéal pour les spécialistes des opérations commerciales, les analystes et les stratégistes qui génèrent et exploitent des informations.

## Statistiques et notes

| Métrique | Notation | En détail |
| **Note globale** | **4.0/5** | 21 Avis |
| Simplicité | 4.2/5 | D'après l'ensemble des avis |
| Support client | 4.3/5 | D'après l'ensemble des avis |
| Rapport qualité-prix | 4.1/5 | D'après l'ensemble des avis |
|  Fonctionnalités | 3.8/5 | D'après l'ensemble des avis |
| Pourcentage de recommandation | 70% | (7/10 Probabilité de recommander le produit) |

## À propos de l'éditeur

- **Société**: Panoply
- **Pays**: San Francisco, É.-U.
- **Fondé**: 2015

## Contexte commercial

- **À partir de**: 199,00 $US
- **Type de licence**:  (Essai gratuit)
- **Public cible**: Auto-entrepreneur, 2–10, 11–50, 51–200, 201–500, 501–1.000
- **Déploiement et plateformes**: Cloud, SaaS, web
- **Langues**: anglais
- **Pays disponibles**: Allemagne, Australie, Brésil, Canada, Chine, Inde, Japon, Mexique, Royaume-Uni, États-Unis

##  Fonctionnalités

- API
- Base de données de clients
- Connecteurs de données
- Contrôle de qualité des données
- Correspondance et fusion
- Data discovery
- ETL (Extract Transform Load)
- ETL - Extract Transfer Load
- Gestion des métadonnées
- Intégration de données
- MDM (master data management)
- Migration de données
- Nettoyage de données
- Outils d'analyse de données
- Rapports et analyses
- Recherche/Filtre
- Saisie et transfert de données
- Sécurité des données
- Tableau de bord
- Third-Party Integrations

## Intégrations (39 au total)

- AdRoll
- Airbrake
- Amazon Cloud Search
- Brightpearl
- Buffer
- Crashlytics
- Criteo
- Dropbox Business
- Epicor Advanced MES
- Flurry
- Google Ads
- Google Analytics 360
- Google Drive
- HubSpot Marketing Hub
- Intercom

... et 24 intégrations supplémentaires

## Ressources d'aide

- Service client/e-mail
- FAQ/forums
- Support téléphonique
- Chat

## Category

- [Logiciels de qualité des données](https://www.capterra.lu/directory/31126/data-quality/software)

## Catégories connexes

- [Logiciels de qualité des données](https://www.capterra.lu/directory/31126/data-quality/software)
- [Tableau de bord](https://www.capterra.lu/directory/30839/dashboard/software)
- [Analyse statistique](https://www.capterra.lu/directory/30752/statistical-analysis/software)
- [Gestion des données](https://www.capterra.lu/directory/31003/data-management/software)
- [Data warehouse](https://www.capterra.lu/directory/31116/data-warehouse/software)

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2. [Tableau](https://www.capterra.lu/software/77260/tableau) — 4.6/5 (2348 reviews)
3. [Domo](https://www.capterra.lu/software/119119/domo) — 4.3/5 (329 reviews)
4. [Zoho Analytics](https://www.capterra.lu/software/129749/zoho-analytics) — 4.4/5 (360 reviews)
5. [Hevo](https://www.capterra.lu/software/176435/hevo) — 4.7/5 (110 reviews)

## Avis

### "Panoply gets the job done\!" — 5.0/5

> **Nathan Patrick** | *30 avril 2020* | Santé, bien-être et fitness | Taux de recommandation : 10.0/10
> 
> **Avantages**: The speed to solution is a big win for us.  We were able to get a full data pipeline up in running in less than half a day.  That's with various data sources and incremental refresh.  The UI is easy to use.
> 
> **Inconvénients**: There aren't really any cons.  The platform is in its infancy and I can tell that the team is listening to user feedback and already making updates.
> 
> The support team behind Panoply is very helpful.  We've used the on-site chat function to get immediate help.  We've also submitted questions through traditional routes like email.  All of which were answered quickly.

-----

### "Excellent starting option for data warehousing" — 4.0/5

> **Julian** | *12 juillet 2022* | Hôpitaux et soins de santé | Taux de recommandation : 8.0/10
> 
> **Avantages**: Very simple to set up and manage. Still all the core functionality you need in a warehouse
> 
> **Inconvénients**: The built in data connectors could be buggy. Particularly Google Analytics with multiple accounts. Integrating with Google Data Studio was also frustrating  as we couldn't find a way to share dashboards within our workspace.
> 
> Was the foundation of my last company's BI pipeline and served us very well. Now they are going through a painful migration from the old Redshift servers to BigQuery and the cost has tripled. Before I left I was undergoing a migration to BigQuery natively and skipping Panoply as it began to add complexity for us rather than take it away.

-----

### "Customer service is great until you cancel" — 3.0/5

> **matt** | *10 août 2021* | Logiciels | Taux de recommandation : 2.0/10
> 
> **Avantages**: We used Panoply to ingest DynamoDB data and send it to the analytics platform for intellegence.  The software worked and functioned fine, our we had a simple use case, but it never failed us.
> 
> **Inconvénients**: The pricing was really steep for our simple use case and didn't bring the value that the price tag suggests.  Ultimately we found a service that is 40% the cost that suites our needs.  When I went to cancel there is no unsubscribe button, I had to hunt for a cancellation email address.  After going back and forth with the director of customer service, I finally got it cancelled.  However, they threw a 30-day notice clause at us causing us to pay an extra 50 days for a product we are not using.  Really bad form in my opinion.
> 
> Decent product, overpriced for it's function, the support team and customer service team need to get their act together.

-----

### "Helped me immensely with analyzing netcdf data files" — 5.0/5

> **Saurav** | *3 avril 2020* | Services environnementaux | Taux de recommandation : 10.0/10
> 
> **Avantages**: I was introduced to Panoply by a colleague. I was trying to analyze a bunch of climate variables that were in netcdf format. Before I could write a code in Matlab to analyze the data, I needed to know the data structure. For this I have used a combination of F77 and Matlab in the past. However, I wanted to exclude Fortran and have a more convenient way of knowing the basic data structure. Matlab was more powerful with the actual analysis but not with the pre processing. This is where Panoply came in handy. All I had to do was upload the netcdf data file directly into panoply and boom. It gave me the basic structure that includes the number of data points, latitudes and longitudes of the data points and other essential details I needed.
> 
> **Inconvénients**: I did not come across any problem in particular for the 2+ years I have used Panoply. Sometimes, It did take a little long to load it if the netcdf file I was working with was a large file but it was not a big deal.  Panoply actually was immensely helpful in knowing the data structure of the variable type for which I followed a much more complex procedure in the past before I used Panoply.
> 
> I am working with Geographical data that has latitudes, longitudes and a variable I am trying to analyze. This is a great tool to have for such data structure.

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### "A great service to connect all your data sources to and analyze them together" — 5.0/5

> **Adir** | *23 mai 2018* | Taux de recommandation : 10.0/10
> 
> **Avantages**: It's really easy to start and add various data sources. You can then create connections between data sources and start building custom reports that show you insights and valuable data.
> 
> **Inconvénients**: The biggest con I can think about is the lack of built-in visualization tools. At the moment if you want to see your data visually you must use an external software. Hoping they would get around to adding it soon\!

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## Liens

- [Afficher sur Capterra](https://www.capterra.lu/software/168034/panoply)

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