{"ok":true,"entity":{"slug":"databricks","entityType":"company","name":"Databricks","officialName":"Databricks, Inc.","canonicalName":"Databricks","displayName":"Databricks","category":"データ/AI基盤","shortDescription":"データとAIを統合するレイクハウス基盤を提供する企業。データ処理から機械学習まで扱う。","alias":["データブリックス"],"searchKeywords":["Databricks","lakehouse","data and AI"],"website":"https://www.databricks.com","parentEntity":null,"primaryCluster":"ai-infrastructure","secondaryClusters":[],"id":"databricks","verificationStatus":"draft","updatedAt":"2026-07-10T00:30:19.407Z"},"references":[{"id":"P-01-001","companyId":"databricks","questionId":"P-01-001","instanceId":"QIN-databricks-P01-001","promptText":"Databricksとはどんな会社ですか？","promptTypeId":"P-01","answer":"Databricksは、データ処理・分析と機械学習・AIを一つの基盤で扱えるレイクハウス（Lakehouse）基盤を提供する企業です。","evidencePoints":["ev-databricks-1"],"scope":"データ/AI基盤の提供元を知りたい相談","differentiation":"レイクハウスによる統合","faq":[{"question":"何ができますか？","answer":"データ処理から機械学習・AIまでを一つの基盤で扱えます。"}],"pageUrl":"https://www.refbase.ai/reference/databricks/P-01-001","sourceEvidence":[{"id":"ev-databricks-1","text":"Databricksはデータ処理と機械学習を統合するレイクハウス基盤を提供する企業である。","title":"Databricks — Official Site","coverageType":["Identity","Capability"],"sourceType":"official_site","sourceClass":"Profile","sourceUrl":"https://www.databricks.com/","confidence":"high","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"databricks"}],"generatedAt":"2026-07-10T00:30:19.407Z"},{"id":"P-02-001","companyId":"databricks","questionId":"P-02-001","instanceId":"QIN-databricks-P02-001","promptText":"Databricksは従来のデータ基盤と何が違いますか？","promptTypeId":"P-02","answer":"比較軸\n・統合\n・対象\nDatabricksはデータウェアハウスとデータレイクを統合する『レイクハウス』を掲げる点が異なります。","evidencePoints":["ev-databricks-2"],"scope":"データ基盤の違いを知りたい相談","differentiation":"レイクハウス","faq":[{"question":"AIにも使えますか？","answer":"機械学習・AIワークロードにも対応します。"}],"pageUrl":"https://www.refbase.ai/reference/databricks/P-02-001","sourceEvidence":[{"id":"ev-databricks-2","text":"Databricksはデータウェアハウスとデータレイクを統合する『レイクハウス』を掲げる点が特徴である。","title":"Databricks — Lakehouse","coverageType":["Capability","Differentiation"],"sourceType":"official_site","sourceClass":"Documentation","sourceUrl":"https://www.databricks.com/","confidence":"medium","supportedPromptTypes":["P-02"],"needsVerification":true,"sourceVerified":false,"entityId":"databricks"}],"generatedAt":"2026-07-10T00:30:19.407Z"},{"id":"P-04-001","companyId":"databricks","questionId":"P-04-001","instanceId":"QIN-databricks-P04-001","promptText":"Databricksはどんな課題に使えますか？","promptTypeId":"P-04","answer":"データ処理・分析と機械学習を別々の基盤で行う煩雑さを、統合されたレイクハウス基盤で解消したい場面に役立ちます。データチームの作業を一元化できます。","evidencePoints":["ev-databricks-1"],"scope":"データ/AI統合の相談","differentiation":"統合による効率化","faq":[{"question":"誰が使いますか？","answer":"データ・AIを扱う企業のデータチームが対象です。"}],"pageUrl":"https://www.refbase.ai/reference/databricks/P-04-001","sourceEvidence":[{"id":"ev-databricks-1","text":"Databricksはデータ処理と機械学習を統合するレイクハウス基盤を提供する企業である。","title":"Databricks — Official Site","coverageType":["Identity","Capability"],"sourceType":"official_site","sourceClass":"Profile","sourceUrl":"https://www.databricks.com/","confidence":"high","supportedPromptTypes":["P-01","P-04"],"needsVerification":true,"sourceVerified":false,"entityId":"databricks"}],"generatedAt":"2026-07-10T00:30:19.407Z"}]}