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Databricks Lakehouse

Sold by : Databricks Inc

What is Databricks Lakehouse?

Databricks Lakehouse - a data management solution that seamlessly combines the functionalities of data lakes and data warehouses. This integrated platform offers businesses tool to process large amounts of data and implement machine learning at scale. With Databricks Lakehouse, companies can effortlessly store, organize, and analyze both structured and unstructured data while keeping costs to a minimum.

Databricks Lakehouse Resources

Databricks Lakehouse Pricing

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Key Features of Databricks Lakehouse

  • Unified Data Management
  • Delta Lake
  • Apache Spark Integration
  • Mlflow Integration
  • Collaborative Notebooks
  • Sql Analytics
  • Data Lineage
  • Data Governance
  • Real Time Data Processing
  • Auto Scaling Clusters
  • Data Visualization
  • Job Scheduling
  • Data Versioning
  • Data Catalog
  • Security And Compliance
  • Data Sharing
  • Etl Pipelines
  • Interactive Workspaces
  • Data Lake Integration
  • Rest Api
  • Show More

Specifications

Databricks Lakehouse FAQ's

The top 5 features of Databricks Lakehouse include:

  • Unified Data Management
  • Delta Lake
  • Apache Spark Integration
  • Mlflow Integration
  • Collaborative Notebooks

Databricks Lakehouse supports a variety of platforms including: Email, Phone, Training, Tickets.

Databricks Lakehouse serves a wide range of businesses including StartUps, SMBs, Mid-Market, Enterprises.

The top three competitors of Databricks Lakehouse are Pure Chat, Ideal Analytics and SAS Analytics Pro. To find the best fit for your business, compare and evaluate each platform's features, advantages, disadvantages, and other key aspects.

Databricks Lakehouse is available exclusively in English, providing a streamlined experience for English-speaking users.

Alternatives of Databricks Lakehouse

Pure Chat
Ideal Analytics
SAS Analytics Pro
Nanobi
KAEM Technologies
Kaem Project Management (BI)
Microsoft Power BI
Octoparse
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