---
description: Información actualizada sobre Panoply. Lee opiniones verificadas y descubre funciones, características, precios y usabilidad. Obtén rápidamente una visión general de ventajas y desventajas. Compara Panoply con productos similares.
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title: Panoply: precios, funciones y opiniones | GetApp México 2026
---

Breadcrumb: [Inicio](/) > [Herramientas de calidad de los datos](/directory/1337/data-quality/software) > [Panoply](/software/110347/panoply)

# Panoply

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> Panoply es un importante almacén de datos inteligente en la nube, que agiliza la trayectoria de los datos desde la fuente hasta el análisis mediante tecnología de IA.
> 
> Veredicto: 21 usuarios lo han valorado con **4.0/5**. De los mejores valorados en **Probabilidad de recomendación**.

-----

## Estadísticas y valoraciones rápidas

| Métrica | Calificación | Detalles |
| **En general** | **4.0/5** | 21 Opiniones |
| Facilidad de uso | 4.2/5 | Basado en las opiniones generales |
| Asistencia al cliente | 4.3/5 | Basado en las opiniones generales |
| Relación calidad-precio | 4.1/5 | Basado en las opiniones generales |
| Funciones | 3.8/5 | Basado en las opiniones generales |
| Porcentaje de recomendaciones | 70% | (7/10 Probabilidad de recomendación) |

## Sobre el proveedor

- **Empresa**: Panoply
- **Ubicación**: San Francisco, EE. UU.
- **Constitución**: 2015

## Contexto comercial

- **Precio inicial**: USD 199.00
- **Modelo de precios**:  (Prueba gratis)
- **Público objetivo**: Trabajador autónomo, 2-10, 11-50, 51-200, 201-500, 501-1,000
- **Despliegue y plataformas**: Cloud, SaaS, Web
- **Idiomas admitidos**: inglés
- **Países disponibles**: Alemania, Australia, Brasil, Canadá, China, Estados Unidos, India, Japón, México, Reino Unido

## Funciones

- API
- Almacenamiento seguro de datos
- Base de datos de clientes
- Búsqueda de lenguaje natural
- Búsqueda/filtro
- Captura y transferencia de datos
- Conectores de datos
- Consulta ad hoc
- Control de calidad de datos
- Correspondencia y fusión
- Creación de informes/análisis
- Descubrimiento de datos
- ETL - Extract Transfer Load
- Fusión de datos
- Gestión de almacenamiento de datos
- Gestión de datos maestros
- Gestión de metadatos
- Herramientas ETL
- Herramientas de análisis de datos
- Integración de datos

## Integraciones (en total: 39)

- 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

… y 24 integraciones más

## Opciones de asistencia

- E-mail/Help Desk
- Preguntas frecuentes/foro
- Asistencia telefónica
- Chat

## Categoría

- [Herramientas de calidad de los datos](https://www.getapp.com.mx/directory/1337/data-quality/software)

## Categorías relacionadas

- [Herramientas de calidad de los datos](https://www.getapp.com.mx/directory/1337/data-quality/software)
- [Software para Dashboards](https://www.getapp.com.mx/directory/586/reporting-dashboard/software)
- [Software para análisis de datos estadísticos](https://www.getapp.com.mx/directory/361/data-analytics/software)
- [Programas de gestión de datos](https://www.getapp.com.mx/directory/633/data-management/software)
- [Herramientas ETL](https://www.getapp.com.mx/directory/1303/etl/software)

## Alternativas

1. [Zoho Analytics](https://www.getapp.com.mx/software/10049/zoho-analytics) — 4.4/5 (360 reviews)
2. [Adverity](https://www.getapp.com.mx/software/109373/datatap) — 4.5/5 (26 reviews)
3. [Tableau](https://www.getapp.com.mx/software/90797/tableau-software) — 4.6/5 (2348 reviews)
4. [Domo](https://www.getapp.com.mx/software/91408/domo) — 4.3/5 (329 reviews)
5. [Alteryx Designer](https://www.getapp.com.mx/software/102873/alteryx-designer) — 4.8/5 (101 reviews)

## Opiniones

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

> **Nathan Patrick** | *30 de abril de 2020* | Salud, bienestar y deporte | Valoración de la recomendación: 10.0/10
> 
> **Puntos a favor**: 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.
> 
> **Puntos en contra**: 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.

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

> **Julian** | *12 de julio de 2022* | Hospital y atención sanitaria | Valoración de la recomendación: 8.0/10
> 
> **Puntos a favor**: Very simple to set up and manage. Still all the core functionality you need in a warehouse
> 
> **Puntos en contra**: 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.

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

> **matt** | *10 de agosto de 2021* | Software informático | Valoración de la recomendación: 2.0/10
> 
> **Puntos a favor**: 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.
> 
> **Puntos en contra**: 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.

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

> **Saurav** | *3 de abril de 2020* | Servicios medioambientales | Valoración de la recomendación: 10.0/10
> 
> **Puntos a favor**: 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.
> 
> **Puntos en contra**: 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 de mayo de 2018* | Valoración de la recomendación: 10.0/10
> 
> **Puntos a favor**: 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.
> 
> **Puntos en contra**: 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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