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4.8 out of 5
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Azure Synapse Analytics
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Azure Synapse Analytics Features
What are the features of Azure Synapse Analytics?
Data Transformation
- Data Querying
Connectivity
- Multi-Source Analysis
Operations
- Data Workflow
- Notebooks
Azure Synapse Analytics Categories on G2
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Database
Real-Time Data Collection | Collects, stores, and organizes massive, unstructured data in real time | Not enough data | |
Data Distribution | Facilitates the disseminating of collected big data throughout parallel computing clusters | Not enough data | |
Data Lake | Creates a repository to collect and store raw data from sensors, devices, machines, files, etc. | Not enough data |
Integrations
Hadoop Integration | Aligns processing and distribution workflows on top of Apache Hadoop | Not enough data | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Hadoop | Not enough data |
Platform
Machine Scaling | Facilitates solution to run on and scale to a large number of machines and systems | Not enough data | |
Data Preparation | Curates collected data for big data analytics solutions to analyze, manipulate, and model | Not enough data | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Hadoop | Not enough data |
Processing
Cloud Processing | Moves big data collection and processing to the cloud | Not enough data | |
Workload Processing | Processes batch, real-time, and streaming data workloads in singular, multi-tenant, or cloud systems | Not enough data |
Data Transformation
Real-Time Analytics | Facilitates analysis of high-volume, real-time data. | Not enough data | |
Data Querying | Allows user to query data through query languages like SQL. 10 reviewers of Azure Synapse Analytics have provided feedback on this feature. | 85% (Based on 10 reviews) |
Connectivity
Hadoop Integration | Aligns processing and distribution workflows on top of Apache Hadoop | Not enough data | |
Spark Integration | Aligns processing and distribution workflows on top of Apache Spark | Not enough data | |
Multi-Source Analysis | Integrates data from multiple external databases. 10 reviewers of Azure Synapse Analytics have provided feedback on this feature. | 88% (Based on 10 reviews) | |
Data Lake | Facilitates the dissemination of collected big data throughout parallel computing clusters. | Not enough data |
Operations
Data Visualization | Processes data and represents interpretations in a variety of graphic formats. | Not enough data | |
Data Workflow | Strings together specific functions and datasets to automate analytics iterations. This feature was mentioned in 10 Azure Synapse Analytics reviews. | 90% (Based on 10 reviews) | |
Governed Discovery | Isolates certain datasets and facilitates management of data access. | Not enough data | |
Embedded Analytics | Allows big data tool to run and record data within external applications. | Not enough data | |
Notebooks | Use notebooks for tasks such as creating dashboards with predefined, scheduled queries and visualizations This feature was mentioned in 10 Azure Synapse Analytics reviews. | 88% (Based on 10 reviews) |
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