DeltaForge Sahibi bu sayfada görüntülenen profil bilgilerini doğruladı.

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Profili Düzenle Ziyaret etmek Rapor

This native data processing engine enables high-performance reading and writing of Delta Lake and Apache Iceberg tables directly on existing hardware without requiring clusters or additional data warehouses. It offers features such as in-place data modifications, seamless table versioning with time travel, schema enforcement, change data feed, and interoperability between different data formats, solving challenges related to data consistency, validation, and operational complexity in lakehouse architectures. Designed for data engineers, scientists, and analytics teams, it provides a cost-effective, reliable, and verifiable platform for managing large-scale analytics workloads, data lake management, and real-time data access without the need for complex cluster management or data duplication.

DeltaForge şurada bulunabilir: Data Warehouse & Data Lake Platforms kategoriler.

DeltaForge ürününe en çok benzeyen ürünler şunlardır:

RogueDB Doğrulanmış profil Terfi Edildi → Stackable → WarpStream → Dremio → Singdata Lakehouse →

Ekran görüntüleri

YouTube Videoları

Detaylar

DeltaForge Ana Özellikler

• Native Engine
  DeltaForge is a built-in engine that can read and write Delta and Iceberg data directly on your hardware.
• Cost Efficiency
  You only pay for the actual work done, with no extra charges for idle time.
• Advanced Features
  Includes features like MERGE, time travel, deletion vectors, interop, and change data feed.
• Serve BI Directly
  You can run business intelligence tools directly from the lakehouse data.
• No Clusters Needed
  Most jobs do not need a cluster; they can run on your hardware without extra setup.
• Pay for Actual Work
  Billing is based on compute seconds during query execution, not for waiting or standing by.
• Run Graph Workloads
  You can run graph workloads on the same data in your lakehouse.
• In-Place Data Access
  You can read and write data without copying or moving it, saving time and resources.
• Typed Catalog Access
  Agents can access catalogs with typed data for better management.
• Cross-Platform Support
  Available for Windows, macOS, and Linux operating systems.
• Independent Verification
  Uses two engines to produce the same answers for trust and reliability.
• Bidirectional Conformance
  Works well with Apache Spark, showing consistent results in both systems.
• Delta and Iceberg Support
  Supports both Delta Lake and Apache Iceberg formats simultaneously.
• Use Cases and Self-Diagnosis
  Provides downloadable use cases and automatic self-diagnosis for failures.
• Verification and Correctness
  Every operation is verified with two checks to ensure accuracy, with results that can be inspected.

Rozetler

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Rozeti Kopyala

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Rozeti Kopyala

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RogueDB

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