Amazon Quicksight vs Azure Synapse

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Amazon Quicksight

200
389
+ 1
5
Azure Synapse

93
223
+ 1
10
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Amazon Quicksight vs Azure Synapse: What are the differences?

Key Differences between Amazon Quicksight and Azure Synapse

1. Cost Structure: Amazon Quicksight offers a subscription-based pricing model, charging users based on a monthly fee plus additional charges for additional features and data sources. In contrast, Azure Synapse follows a usage-based pricing model, where users pay for the computing power and storage resources they consume.

2. Data Integration and Transformation Capabilities: Amazon Quicksight focuses primarily on visualizing data and lacks advanced data integration and transformation capabilities. On the other hand, Azure Synapse provides robust data integration and transformation capabilities through its built-in ETL (Extract, Transform, Load) tools, which allows users to easily process and transform data before visualization.

3. Scalability and Performance: Both Amazon Quicksight and Azure Synapse offer high scalability. However, Azure Synapse provides better performance for handling large-scale data workloads due to its distributed processing capabilities and parallel execution of queries.

4. Data Sources and Connectivity: Amazon Quicksight supports a wide range of data sources, including Amazon S3, RDS, Redshift, and more. In contrast, Azure Synapse offers seamless integration with various Azure data services, such as Azure Data Lake Storage, Azure SQL Data Warehouse, and more, making it an ideal choice for organizations already using the Azure ecosystem.

5. Advanced Analytics and Machine Learning Capabilities: Azure Synapse provides advanced analytics and machine learning capabilities through integration with Azure Machine Learning, enabling users to build and deploy powerful data analytics models. While Amazon Quicksight allows integration with AWS services, it currently lacks direct integration with machine learning tools.

6. Security and Compliance: Both Amazon Quicksight and Azure Synapse prioritize security and compliance. However, Azure Synapse offers more robust security features, including advanced threat detection, data encryption at rest and in transit, and built-in compliance certifications such as HIPAA, GDPR, and ISO 27001.

In summary, Amazon Quicksight and Azure Synapse differ in terms of their cost structure, data integration and transformation capabilities, scalability and performance, supported data sources and connectivity, advanced analytics and machine learning capabilities, and security and compliance features.

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Pros of Amazon Quicksight
Pros of Azure Synapse
  • 1
    Dataset versionning
  • 1
    Good integration with aws Glue ETL services
  • 1
    More features (table calculations, functions, insights)
  • 1
    Better integration with aws
  • 1
    Super cheap
  • 4
    ETL
  • 3
    Security
  • 2
    Serverless
  • 1
    Doesn't support cross database query

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Cons of Amazon Quicksight
Cons of Azure Synapse
  • 1
    Very basic BI tool
  • 1
    Only works in AWS environments (not GCP, Azure)
  • 1
    Dictionary Size Limitation - CCI
  • 1
    Concurrency

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What is Amazon Quicksight?

Amazon QuickSight is a fast, cloud-powered business analytics service that makes it easy to build visualizations, perform ad-hoc analysis, and quickly get business insights from your data.

What is Azure Synapse?

It is an analytics service that brings together enterprise data warehousing and Big Data analytics. It gives you the freedom to query data on your terms, using either serverless on-demand or provisioned resources—at scale. It brings these two worlds together with a unified experience to ingest, prepare, manage, and serve data for immediate BI and machine learning needs.

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Jobs that mention Amazon Quicksight and Azure Synapse as a desired skillset
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What tools integrate with Amazon Quicksight?
What tools integrate with Azure Synapse?

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What are some alternatives to Amazon Quicksight and Azure Synapse?
Tableau
Tableau can help anyone see and understand their data. Connect to almost any database, drag and drop to create visualizations, and share with a click.
DOMO
Domo: business intelligence, data visualization, dashboards and reporting all together. Simplify your big data and improve your business with Domo's agile and mobile-ready platform.
Looker
We've built a unique data modeling language, connections to today's fastest analytical databases, and a service that you can deploy on any infrastructure, and explore on any device. Plus, we'll help you every step of the way.
Power BI
It aims to provide interactive visualizations and business intelligence capabilities with an interface simple enough for end users to create their own reports and dashboards.
Amazon Athena
Amazon Athena is an interactive query service that makes it easy to analyze data in Amazon S3 using standard SQL. Athena is serverless, so there is no infrastructure to manage, and you pay only for the queries that you run.
See all alternatives