---
description: Azure Databricks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: Azure Databricks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](/) > [機械学習ツール](/directory/31103/machine-learning/software) > [Azure Databricks](/software/1025369/azure-databricks)

# Azure Databricks

Canonical: https://www.capterra.jp/software/1025369/azure-databricks

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> ビッグデータの分析ツールで、データ集約型アプリケーションを開発するための3つの環境（Databricks SQL、Databricks Data Science＆Engineering、Databricks Machine Learning）を提供します。
> 
> 評価：10人のユーザーによる評価は**4.7/5**。**おすすめ度**で最高の評価。

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## 概要

### Azure Databricksの対象ユーザー

Azure Databricksは、小売業、サービス業、飲食業、娯楽業、製造業など、様々な企業でご利用いただいています。

## 簡単な統計と評価

| 測定基準 | 評価 | 詳細 |
| **総合評価** | **4.7/5** | 10 レビュー |
| 使いやすさ | 4.7/5 | レビュー全体に基づく |
| カスタマー・サポート | 4.5/5 | 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 | 4.6/5 | レビュー全体に基づく |
| おすすめ率 | 90% | (9/10 おすすめ度) |

## 企業情報

- **キャプテラについて**: Microsoft
- **ロケーション**: Redmond, アメリカ
- **設立**: 1975

## ビジネスコンテキスト

- **価格モデル**:  (無料版が利用可能)
- **価格プランの詳細**: ご利用料金は、プランに応じて変動します。
- **対象となる企業**: 自営業, 2～10, 11～50, 51～200, 201～500, 501～1,000, 1,001～5,000, 5,001～10,000, 10,000+
- **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**: イタリア語, オランダ語, スウェーデン語, スペイン語, ドイツ語, フランス語, ポルトガル語, ロシア語, 中国語, 日本語, 英語, 韓国語
- **利用可能な国**: アイスランド, アイルランド, アゼルバイジャン, アフガニスタン, アメリカ合衆国, アラブ首長国連邦, アルジェリア, アルゼンチン, アルバ, アルバニア, アルメニア, アンギラ, アンゴラ, アンティグア・バーブーダ, アンドラ, イエメン, イギリス, イスラエル, イタリア, イラク さらに229件

## 機能

- データの可視化

## サポートのオプション

- メール/ヘルプデスク
- チャット対応有

## Category

- [機械学習ツール](https://www.capterra.jp/directory/31103/machine-learning/software)

## 代替製品

1. [Create ML](https://www.capterra.jp/software/1025424/create-ml) — 4.0/5 (1 reviews)
2. [Splunk Machine Learning Toolkit](https://www.capterra.jp/software/1035230/machine-learning-toolkit) (0 reviews)
3. [Plink](https://www.capterra.jp/software/187023/fanbank) — 5.0/5 (3 reviews)

## レビュー

### "High-Performance Analytics for Modern Data Teams" — 5.0/5

> **Wealth** | *2026年3月31日* | 金融サービス | おすすめ評価：9.0/10
> 
> **良いポイント**: Seamless integration with Azure ecosystem and other cloud services.
Excellent performance and speed for large-scale data processing.
Flexible environment for both data engineering and data science workloads.
Strong support for Spark-based analytics and collaborative workflows.
> 
> **改善点**: Steeper learning curve for beginners without Spark experience.
Pricing can be high for smaller teams or experimental projects.
Some advanced features require additional configuration or expertise.
> 
> Azure Databricks provides a robust platform for big data analytics and machine learning. Its performance and scalability make it ideal for enterprise-level data processing, and the integration with Azure services streamlines workflows. While it may feel complex initially, the productivity gains and flexibility it offers make it worth adopting.

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### "Harnessing Data Powerhouse with Azure Databricks" — 5.0/5

> **Samuel** | *2023年5月18日* | 通信 | おすすめ評価：8.0/10
> 
> **良いポイント**: Masterclass in Machine Learning Capabilities, Big Data Analytics, and Seamless Azure Integration with Admirable Speed and Efficiency.
> 
> **改善点**: Falls short in language versatility and default storage capacity; requires a learning curve and strategic planning for potential data overload.
> 
> A powerful data processing and analytics solution offering comprehensive machine learning capabilities.

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### "Azure databricks : Not just a Paas tool" — 4.0/5

> **Pranshu** | *2024年1月19日* | 情報技術、情報サービス | おすすめ評価：7.0/10
> 
> **良いポイント**: What I have come to love most about this tool is runs on most popular and best in class spark environment. The most sincere availability of cloud infrastructure is undoubtedly a big concern when you are dealing with multi node/cluster distributed programming. It also supports multi language supporting scala, pyspark, spark sql. Super useful.
> 
> **改善点**: All things said, there are still few areas where azure databricks can improve upon. For instance, the pipeline orchestration is still pretty primitive as compared to its competitors. They are lacking most of most common features.

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### "Prons & Cons of Azure Databricks" — 5.0/5

> **認証済みレビュアー** | *2026年1月9日* | 情報技術、情報サービス | おすすめ評価：10.0/10
> 
> **良いポイント**: Azure Databricks supporrs for different language like SQl, Python, and, Java etc. Its easy to use for new beginners and supports for git and devops integration make it more flexible to work in big projects. 


Azure Databricks supports for reporting and machine learning make it compatible amd unified platform where all developers, analyst, and data scientists can work at same platform therefore reducing cost.
> 
> **改善点**: Azure Databricks processing engine habe some bugs like null value if timestamp column provided as other data type column. So its need to be fixed. 

Azure Databricks high cost for dashboarding and ingesting data from cloud and on premises data.
> 
> Overall, Azure Databricks is great platform for data ingesting, processing and dashboarding with  highly optmized engines and supports for various inbuild features.

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### "Single workspace for all your analytics, code editing and transformation needs\!" — 5.0/5

> **Shaunak** | *2023年1月20日* | 情報技術、情報サービス | おすすめ評価：10.0/10
> 
> **良いポイント**: There are a lot of pros, as Azure Databricks is huge SaaS product offering.Instead of mentioning about what Azure Databricks does, I will just focus this section on pros (which you may not get anywhere else)1) Delta Lake, Apache Spark, Redash,  etc. are open-source projects that are maintained and founded by Databricks team of engineers.2) Top notch and highly available services like Workflows and Photon.3) They will not force you to migrate application data to their proprietary storage systems, you can configure it on cloud for you.5) They provide a flagship service called Unity Catalogue, it helps you to manage the permission within databricks on azure.6) You can use Azure Databricks not only via UI but also Rest API, CLI \& Terraform.
> 
> **改善点**: There are a lot of features and guides but when it comes to deployment of new features or version upgrade, Azure Databricks team does not provide any intimation. These creates reverse dependency issues for stable pipelines in PROD. However, we cannot obstruct the new changes coming in, but can at least try to comply with the critical changes. Also, there are a lot of outages in certain regions.
> 
> Azure Databrick is very easy to learn, and they provide a lot of certifications. Their community is huge. It does its work well. We majorly leverage our work on Interactive Notebooks on Databricks.

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## リンク

- [Capterraで表示する](https://www.capterra.jp/software/1025369/azure-databricks)

## このページは以下の言語で利用できます

| ロケール | URL |
| en | <https://www.capterra.com/p/246719/Azure-Databricks/> |
| en-AE | <https://www.capterra.ae/software/1025369/azure-databricks> |
| en-AU | <https://www.capterra.com.au/software/1025369/azure-databricks> |
| en-CA | <https://www.capterra.ca/software/1025369/azure-databricks> |
| en-GB | <https://www.capterra.co.uk/software/1025369/azure-databricks> |
| en-IE | <https://www.capterra.ie/software/1025369/azure-databricks> |
| en-IL | <https://www.capterra.co.il/software/1025369/azure-databricks> |
| en-IN | <https://www.capterra.in/software/1025369/azure-databricks> |
| en-NZ | <https://www.capterra.co.nz/software/1025369/azure-databricks> |
| en-SG | <https://www.capterra.com.sg/software/1025369/azure-databricks> |
| en-ZA | <https://www.capterra.co.za/software/1025369/azure-databricks> |
| ja | <https://www.capterra.jp/software/1025369/azure-databricks> |

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