--- description: Review of Panoply Software: system overview, features, price and cost information. Get free demos and compare to similar programs on Software Advice Ireland. image: https://gdm-localsites-assets-gfprod.imgix.net/images/software_advice/og_logo-55146305bbe7b450bea05c18e9be9c9a.png title: Panoply | Reviews, Pricing & Demos - SoftwareAdvice IE --- Breadcrumb: [Home](/) > [Data Quality Software](/directory/4582/data-quality/software) > [Panoply](/software/75246/panoply) # Panoply Canonical: https://www.softwareadvice.ie/software/75246/panoply Page: 1 / 2\ Next: [Next page](https://www.softwareadvice.ie/software/75246/panoply?page=2) > Panoply is a cloud data platform that helps businesses source, store and manage data from various applications to streamline data analysis processes. Professionals can track the status of data sync as ‘running’, ‘pending’ or ‘scheduled’ and automatically detect data types. Panoply helps business users sync, store, and leverage all of their data, without complicated code. Drive insights fast by building a single source of truth for all your reporting needs. Panoply enables businesses to integrate the platform with various third-party applications, such as HubSpot, Google Analytics, Shopify, BigQuery and more. > > Verdict: Rated **4.0/5** by 21 users. Top-rated for **Likelihood to recommend**. ----- ## Quick Stats & Ratings | Metric | Rating | Detail | | **Overall** | **4.0/5** | 21 Reviews | | Ease of Use | 4.2/5 | Based on overall reviews | | Customer Support | 4.3/5 | Based on overall reviews | | Value for Money | 4.1/5 | Based on overall reviews | | Features | 3.8/5 | Based on overall reviews | | Recommendation percentage | 70% | (7/10 Likelihood to recommend) | ## About the vendor - **Company**: Panoply - **Location**: San Francisco, US - **Founded**: 2015 ## Commercial Context - **Starting Price**: US$199.00 - **Pricing model**: Flat Rate (Free Trial) - **Pricing Details**: See the latest pricing at https://panoply.io/pricing/ - **Target Audience**: Self Employed, 2–10, 11–50, 51–200, 201–500, 501–1,000 - **Deployment & Platforms**: Cloud, SaaS, Web-based - **Supported Languages**: English - **Available Countries**: Australia, Brazil, Canada, China, Germany, India, Japan, Mexico, United Kingdom, United States ## Features - API - Ad hoc Query - Customer Database - Dashboard - Data Analysis Tools - Data Blending - Data Capture and Transfer - Data Cleansing - Data Connectors - Data Discovery - Data Integration - Data Migration - Data Quality Control - Data Security - Data Storage Management - ETL - Extract Transfer Load - ETL Tools - Job Scheduling - Master Data Management - Match & Merge ## Integrations (39 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 ... and 24 more integrations ## Support Options - Email/Help Desk - FAQs/Forum - Phone Support - Chat ## Category - [Data Quality Software](https://www.softwareadvice.ie/directory/4582/data-quality/software) ## Related Categories - [Data Quality Software](https://www.softwareadvice.ie/directory/4582/data-quality/software) - [Dashboard Software](https://www.softwareadvice.ie/directory/440/dashboard/software) - [Statistical Analysis Software](https://www.softwareadvice.ie/directory/4338/statistical-analysis/software) - [Data Management Software](https://www.softwareadvice.ie/directory/4230/data-management/software) - [Big Data Software](https://www.softwareadvice.ie/directory/3299/big-data/software) ## Alternatives 1. 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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 July 2022* | Hospital & Health Care | Recommendation rating: 8.0/10 > > **Pros**: Very simple to set up and manage. Still all the core functionality you need in a warehouse > > **Cons**: 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 August 2021* | Computer Software | Recommendation rating: 2.0/10 > > **Pros**: 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. > > **Cons**: 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 April 2020* | Environmental Services | Recommendation rating: 10.0/10 > > **Pros**: 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. > > **Cons**: 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. ----- ### "A great service to connect all your data sources to and analyze them together" — 5.0/5 > **Adir** | *23 May 2018* | Recommendation rating: 10.0/10 > > **Pros**: 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. > > **Cons**: 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\! ----- Page: 1 / 2\ Next: [Next page](https://www.softwareadvice.ie/software/75246/panoply?page=2) ## Links - [View on SoftwareAdvice](https://www.softwareadvice.ie/software/75246/panoply) ## This page is available in the following languages | Locale | URL | | en | | | en-AU | | | en-GB | | | en-IE | | | en-NZ | | ----- ## Structured Data