Singdata Lakehouse

Plateformes d'entrepôt de données et de lac de données

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A unified, AI-ready cloud data platform that consolidates diverse data sources into a single Lakehouse-style architecture, delivering real-time processing, scalable storage, high-throughput analytics, and end-to-end governance through a single engine. It solves data silos, reduces total cost of operation, accelerates insights, enables seamless AI model integration, and supports dataOps, batch and streaming workloads for data engineers, analysts, IT leaders, and business stakeholders.

Singdata Lakehouse se trouve dans Data Warehouse & Data Lake Platforms catégories.

Les produits les plus similaires à Singdata Lakehouse sont :

Pristan Profil vérifié Promu → Gemineye → Dremio → Stackable → Datameer →

Captures d'écran

Détails

Principales caractéristiques de Singdata Lakehouse

• Single Engine
  Use one SQL engine to handle all your data tasks efficiently.
• DataOps Efficiency
  Create a smooth data pipeline that works with different types of data analysis.
• Incremental Compute
  Only process new data to save resources and reduce waiting time.
• One-click Onboarding
  Easily set up your data management with just one click, making everything simpler.
• Scalable at Low Cost
  Grow your data capabilities without high costs by using a unified data system.
• Unified Architecture
  Combine the best parts of data warehouses and lakes into one powerful system.
• Cost-Effective Scaling
  Save money with a 50% cut in total costs while still getting great performance.
• Data Centric Lakehouse
  This platform brings computing power close to your data, making it easier to use for AI.
• All-In-One Data Management
  Manage all your data needs in one place, making it easier to keep track of everything.
• AI-ready Cloud Data Platform
  This feature helps you manage all your data in one place, making it ready for AI use.
• Lightning-Fast Unified Analytics
  Enjoy faster data analysis, responding to questions up to 3 times quicker than Snowflake.

Insignes

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Pristan

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Technologies utilisées

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