Azure Data Lake Analytics Features

Based on 17 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Facilitates analysis of high-volume, real-time data.

Based on 16 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Allows user to query data through query languages like SQL.

Based on 18 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Hadoop

Based on 17 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Aligns processing and distribution workflows on top of Apache Spark

Based on 19 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Integrates data from multiple external databases.

Based on 20 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Facilitates the dissemination of collected big data throughout parallel computing clusters.

Based on 19 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Processes data and represents interpretations in a variety of graphic formats.

Based on 17 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Strings together specific functions and datasets to automate analytics iterations.

Based on 18 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Isolates certain datasets and facilitates management of data access.

Based on 16 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Allows big data tool to run and record data within external applications.

Based on 15 Azure Data Lake Analytics reviews and verified by the G2 Product R&D team. Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations