--- description: Panoplyを実際に使用したユーザーのレビューから、製品の機能や価格、メリットデメリットをご覧いただけます。類似製品との比較も簡単、ぴったりのSaaSが見つかるはず！ image: https://gdm-localsites-assets-gfprod.imgix.net/images/capterra/og_logo-e5a8c001ed0bd1bb922639230fcea71a.png?auto=format%2Cenhance%2Ccompress title: Panoplyとは？ | 機能や料金、導入事例をご紹介【キャプテラ】 --- 現在地表示: [ホーム](/) > [データ品質ソフト](/directory/31126/data-quality/software) > [Panoply](/software/168034/panoply) # Panoply Canonical: https://www.capterra.jp/software/168034/panoply ページ：1 / 2\ 次へ: [次ページ](https://www.capterra.jp/software/168034/panoply?page=2) > AI駆動型で自律型のクラウド・データ・ウェアハウスであるPanoply。データソースをBIツールに数分で接続することができます。 > > 評価：21人のユーザーによる評価は**4.0/5**。**おすすめ度**で最高の評価。 ----- ## 概要 ### Panoplyの対象ユーザー 異種データの可用性やユーザビリティを担当するデータ・アナリスト、エンジニア、アーキテクト、科学者。Panoplyはインサイトを生み出す業務運営者、アナリスト、ストラテジストに役立ちます。 ## 簡単な統計と評価 | 測定基準 | 評価 | 詳細 | | **総合評価** | **4.0/5** | 21 レビュー | | 使いやすさ | 4.2/5 | レビュー全体に基づく | | カスタマー・サポート | 4.3/5 | レビュー全体に基づく | | 価格の妥当性 | 4.1/5 | レビュー全体に基づく | | 機能 | 3.8/5 | レビュー全体に基づく | | おすすめ率 | 70% | (7/10 おすすめ度) | ## 企業情報 - **キャプテラについて**: Panoply - **ロケーション**: San Francisco, アメリカ - **設立**: 2015 ## ビジネスコンテキスト - **価格プラン**: $199.00 - **価格モデル**: (無料のトライアル) - **対象となる企業**: 自営業, 2～10, 11～50, 51～200, 201～500, 501～1,000 - **デプロイとプラットフォーム**: クラウド、SaaS、ウェブベース - **サポートされる言語**: 英語 - **利用可能な国**: アメリカ合衆国, イギリス, インド, オーストラリア, カナダ, ドイツ, ブラジル, メキシコ, 中国, 日本 ## 機能 - API - ETL - ETL - Extract Transfer Load - Third-Party Integrations - ダッシュボード - データの取得と転送 - データセキュリティ - データ・クレンジング - データ・コネクタ - データ分析ツール - データ品質管理 - データ検出 - データ移行 - データ統合 - マスターデータ管理 - マッチと結合 - メタデータ管理 - レポート／分析 - 検索／フィルター - 顧客データベース ## 統合 (合計39件) - 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 ... さらに24件の統合 ## サポートのオプション - メール/ヘルプデスク - FAQ/フォーラム - 電話サポート - チャット対応有 ## Category - [データ品質ソフト](https://www.capterra.jp/directory/31126/data-quality/software) ## 関連カテゴリー - [データ品質ソフト](https://www.capterra.jp/directory/31126/data-quality/software) - [ダッシュボードツール](https://www.capterra.jp/directory/30839/dashboard/software) - [統計分析ツール](https://www.capterra.jp/directory/30752/statistical-analysis/software) - [データ管理ソフト](https://www.capterra.jp/directory/31003/data-management/software) - [データウェアハウスソフト](https://www.capterra.jp/directory/31116/data-warehouse/software) ## 代替製品 1. [Adverity](https://www.capterra.jp/software/162524/datatap) — 4.5/5 (26 reviews) 2. [Tableau](https://www.capterra.jp/software/77260/tableau) — 4.6/5 (2351 reviews) 3. [Domo](https://www.capterra.jp/software/119119/domo) — 4.3/5 (330 reviews) 4. [Zoho Analytics](https://www.capterra.jp/software/129749/zoho-analytics) — 4.4/5 (360 reviews) 5. [JMP](https://www.capterra.jp/software/151815/jmp-statistical-software) — 4.5/5 (53 reviews) ## レビュー ### "Panoply gets the job done\!" — 5.0/5 > **Nathan Patrick** | *2020年4月30日* | 健康、ウェルネス、フィットネス | おすすめ評価：10.0/10 > > **良いポイント**: 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. > > **改善点**: 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** | *2022年7月12日* | 病院、ヘルスケア | おすすめ評価：8.0/10 > > **良いポイント**: Very simple to set up and manage. Still all the core functionality you need in a warehouse > > **改善点**: 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** | *2021年8月10日* | コンピュータ・ソフトウェア | おすすめ評価：2.0/10 > > **良いポイント**: 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. > > **改善点**: 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** | *2020年4月3日* | 環境サービス | おすすめ評価：10.0/10 > > **良いポイント**: 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. > > **改善点**: 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** | *2018年5月23日* | おすすめ評価：10.0/10 > > **良いポイント**: 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. > > **改善点**: 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\! ----- ページ：1 / 2\ 次へ: [次ページ](https://www.capterra.jp/software/168034/panoply?page=2) ## リンク - [Capterraで表示する](https://www.capterra.jp/software/168034/panoply) ## このページは以下の言語で利用できます | ロケール | URL | | de | | | de-AT | | | de-CH | | | en | | | en-AE | | | en-AU | | | en-CA | | | en-GB | | | en-IE | | | en-IL | | | en-IN | | | en-NZ | | | en-SG | | | en-ZA | | | es | | | es-AR | | | es-CL | | | es-CO | | | es-CR | | | es-DO | | | es-EC | | | es-MX | | | es-PA | | | es-PE | | | fr | | | fr-BE | | | fr-CA | | | fr-LU | | | it | | | ja | | | nl | | | nl-BE | | | pt | | | pt-PT | | ----- ## 構造化データ