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Azure Databricks
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Azure Databricks Features

What are the features of Azure Databricks?

Data Transformation

  • Real-Time Analytics
  • Data Querying

Connectivity

  • Hadoop Integration
  • Spark Integration
  • Multi-Source Analysis
  • Data Lake

Operations

  • Data Visualization
  • Data Workflow
  • Governed Discovery
  • Embedded Analytics
  • Notebooks

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Azure Databricks Categories on G2

Filter for Features

Data Transformation

Real-Time Analytics

Based on 123 Azure Databricks reviews and verified by the G2 Product R&D team. Facilitates analysis of high-volume, real-time data.
88%
(Based on 123 reviews)

Data Querying

Based on 76 Azure Databricks reviews and verified by the G2 Product R&D team. Allows user to query data through query languages like SQL.
93%
(Based on 76 reviews)

Connectivity

Hadoop Integration

Based on 113 Azure Databricks reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Hadoop
84%
(Based on 113 reviews)

Spark Integration

Based on 126 Azure Databricks reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Spark
90%
(Based on 126 reviews)

Multi-Source Analysis

Based on 122 Azure Databricks reviews and verified by the G2 Product R&D team. Integrates data from multiple external databases.
90%
(Based on 122 reviews)

Data Lake

Based on 125 Azure Databricks reviews and verified by the G2 Product R&D team. Facilitates the dissemination of collected big data throughout parallel computing clusters.
91%
(Based on 125 reviews)

Operations

Data Visualization

Based on 120 Azure Databricks reviews and verified by the G2 Product R&D team. Processes data and represents interpretations in a variety of graphic formats.
83%
(Based on 120 reviews)

Data Workflow

Based on 120 Azure Databricks reviews and verified by the G2 Product R&D team. Strings together specific functions and datasets to automate analytics iterations.
86%
(Based on 120 reviews)

Governed Discovery

Based on 111 Azure Databricks reviews and verified by the G2 Product R&D team. Isolates certain datasets and facilitates management of data access.
84%
(Based on 111 reviews)

Embedded Analytics

Based on 105 Azure Databricks reviews and verified by the G2 Product R&D team. Allows big data tool to run and record data within external applications.
85%
(Based on 105 reviews)

Notebooks

Based on 70 Azure Databricks reviews and verified by the G2 Product R&D team. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations
93%
(Based on 70 reviews)
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Azure Databricks