コンポーネント / Devart / RemObjects Software
Cross-platform, multi-tier framework.
- Provides a clear separation between data-access and business-logic
- Supports many database back-ends, including Microsoft SQL Server, Oracle, DB2, Sybase, PostgreSQL, MySQL, SQLite, and more
クロスプラットフォーム、多層フレームワーク
- データアクセスとビジネスロジックを明確に分離
- Microsoft SQL Server、Oracle、DB2、Sybase、PostgreSQL、MySQL、SQLiteなど、多くのデータベースバックエンドをサポート
Full-featured ADO.NET provider for direct access to PostgreSQL servers.
- Can be used in the same way as the SQL Server .NET data provider
- Fast performance thanks to a native message-based protocol
- 100% managed code with no client software requirement.
クロスプラットフォーム、多層フレームワーク
- データアクセスとビジネスロジックを明確に分離
- Microsoft SQL Server、Oracle、DB2、Sybase、PostgreSQL、MySQL、SQLiteなど、多くのデータベースバックエンドをサポート
Enhanced data provider for SQL Server.
- Direct access to SQL Server within 100% managed code
- Operates in both connected and disconnected models
- Auxiliary components for SQL scripts and bulk data transfer
ODBCデータソース向けの信頼性が高く使いやすいデータコネクター
- 標準API関数とデータ型をサポートする70以上の強力なドライバー
- データベースやクラウドアプリケーションのデータを、100を超えるODBC準拠のレポート作成、分析、BI、ETLツールと統合
分散アプリケーションを簡単に構築
- 強力なフレームワークにより、サービスを使用して機能を公開するサーバーを構築可能
- ネットワークAPIの学習不要 コードを数行書くだけででサーバーを実行
- .NET、Delphi、Xcode、Elements、Java、JavaScriptのネイティブクライアントサポート
Provide high performance direct access to Oracle databases.
- Simplifies developing of client/server applications
- Supports managed environments and provides extended Oracle data types support including XML types, LOBs, objects, and nested tables
Provides direct high performance access to MySQL.
- Can work using MySQL client or native MySQL network protocol
- Requires only TCP/IP protocol when using MySQL protocol directly
- Supports new MySQL server versions and all available data types
クロスプラットフォーム、多層フレームワーク
- データアクセスとビジネス・ロジックを明確に分離
- Microsoft SQL Server、Oracle、DB2、Sybase、PostgreSQL、MySQL、SQLiteなど、多くのデータベースバックエンドをサポート
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説明:
Reliable and easy to use data connector for Freshservice. Devart ODBC Driver for Freshservice is a high-performance connectivity tool with enterprise-level features for accessing Freshservice from ODBC-compliant reporting, analytics, BI, and ETL tools on ...
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説明:
Reliable and easy to use data connector for QuickBooks Desktop. Devart ODBC Driver for QuickBooks Desktop is a high-performance connectivity tool with enterprise-level features for accessing QuickBooks Desktop from ODBC-compliant reporting, analytics, BI, ...
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説明:
Reliable and easy to use data connector for SendGrid. Devart ODBC Driver for SendGrid is a high-performance connectivity tool with enterprise-level features for accessing SendGrid from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32-bit ...
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説明:
Reliable and easy to use data connector for Shippo. Devart ODBC Driver for Shippo is a high-performance connectivity tool with enterprise-level features for accessing Shippo from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32-bit and 64 ...
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説明:
Reliable and easy to use data connector for SurveyMonkey. Devart ODBC Driver for SurveyMonkey is a high-performance connectivity tool with enterprise-level features for accessing SurveyMonkey from ODBC-compliant reporting, analytics, BI, and ETL tools on ...
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説明:
Reliable and easy to use data connector for Twilio. Devart ODBC Driver for Twilio is a high-performance connectivity tool with enterprise-level features for accessing Twilio from ODBC-compliant reporting, analytics, BI, and ETL tools on both 32-bit and 64 ...
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説明:
Access SAP ASE from Python applications to perform create, read, update, and delete operations on stored data. Python Connector for ASE is a reliable connectivity solution for accessing SAP Adaptive Server Enterprise (formerly Sybase Adaptive Server ...
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説明:
Access BigCommerce from Python applications to perform create, read, update, and delete operations on stored data. Python Connector for BigCommerce is a reliable connectivity solution for accessing BigCommerce from Python applications to perform create, ...
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説明:
Access the Google BigQuery data warehouse from Python applications to perform create, read, update, and delete operations on stored data. Python Connector for Google BigQuery is a reliable connectivity solution for accessing the Google BigQuery data ...
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説明:
Access Dynamics 365 Customer Engagement from Python applications to perform create, read, update, and delete operations on stored data. Python Connector for Dynamics 365 is a reliable connectivity solution for accessing Dynamics 365 Customer Engagement ...
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