- How much data volume can AWS QuickSight handle ? can it handle terabytes of data ?
- Can QuickSight perform near real time reporting , example reports should display updated data within 5-10 minutes? how to achieve this in QuickSight
- How many users are supported by free edition of Apache QuickSight? how many maximum number of users can view report at same time?
- Can QuickSight be installed on AWS Cloud network as PaaS solution?
- Does QuickSight provides capability to create Paginated Reports which is easy to Print with multiple pages like Bank statements or contracts etc
- what are the AI features available in QuickSight?
- Can I create multilingual reports or reports which chart or title labels in other languages apart from English in QuickSight, how to achieve this?
- Can it be possible to convert Looker reports onto QuickSight?
Hi @vibhu22oct
-
QuickSight is designed to handle terabyte scale data workloads.
- SPICE (Super-fast, Parallel, In-memory Calculation Engine): Supports up to 2 TB per dataset and 2 billion rows in the
Enterprise Edition. - Standard Edition: Supports up to 25 GB / 25 million rows per dataset.
- Direct Query Mode: When using Direct Query, there is no SPICE storage limitation queries run directly against your underlying data source (Amazon Redshift, Athena, S3, etc.), supporting virtually unlimited data volumes.
- Official Documentation:
- SPICE (Super-fast, Parallel, In-memory Calculation Engine): Supports up to 2 TB per dataset and 2 billion rows in the
-
QuickSight can support near real-time reporting with data freshness of 5-10 minutes.
- Direct Query Mode: Real-time (queries the source on each load/refresh).
- SPICE Scheduled Refresh: As frequent as every 15 minutes
(Enterprise Edition). - SPICE On-Demand Refresh: Up to 32 refreshes per 24-hour period per dataset.
- Incremental Refresh: Efficient for large datasets, loads only new/changed data.
- Official Documentation:
-
QuickSight does not offer a perpetual free edition. However, a 30-day free trial is available with up to 4 Author users, allowing you to evaluate the platform’s capabilities.
- QuickSight is a fully serverless service that auto-scales automatically. There is no hard cap on concurrent viewers. AWS has supported deployments serving hundreds of thousands of concurrent readers. For large-scale deployments, capacity pricing is recommended.
- Official Documentation:
- Amazon Quick Sight Pricing - Business Intelligence Service - AWS
- Amazon Q in QuickSight brings new user roles and pricing to Amazon QuickSight Enterprise Edition | AWS Business Intelligence Blog
- New in Amazon QuickSight – session capacity pricing for large scale deployments, embedding in public websites, and developer portal for embedded analytics | AWS Big Data Blog
-
QuickSight is a fully managed, serverless SaaS service. It does not require installation and cannot be deployed as a PaaS solution within your own infrastructure. However, QuickSight provides robust VPC connectivity options to ensure secure access to your private data sources.
- VPC Connection (Enterprise Edition): Connects to your VPC via an Elastic Network Interface (ENI), enabling private access to databases such as Amazon RDS, Redshift, and other VPC-hosted resources.
- AWS PrivateLink: Ensures all traffic between your VPC and QuickSight remains within the AWS network.
- Official Documentation:
-
QuickSight fully supports Paginated Reports (also known as
Pixel-Perfect Reports), which are ideal for generating print-ready, multi-page documents such as bank statements, invoices, contracts, and regulatory filings. -
QuickSight includes a comprehensive suite of AI and machine learning capabilities through Amazon Q in QuickSight, powered by large language models from Amazon Bedrock.
- Natural Language Q&A: Ask business questions in plain language and receive auto-generated visualizations.
- Generative BI Authoring: Describe the dashboard you need. AI builds it for you.
- Executive Summaries: AI-generated narrative summaries highlighting key insights.
- Data Stories: Generate sharable, narrative-driven reports from your data.
- ML-Powered Forecasting: Built-in time-series forecasting within visuals.
- Anomaly Detection: Automatic identification of outliers and unusual patterns.
- Official Documentation:
- Generative BI with Quick Sight - Amazon Quick
- Amazon Q is now generally available in Amazon QuickSight, bringing Generative BI capabilities to the entire organization | AWS Business Intelligence Blog
- Revolutionizing business intelligence: Amazon Q in QuickSight introduces powerful new capabilities | AWS Business Intelligence Blog
- Announcing Generative BI capabilities in Amazon QuickSight | AWS Business Intelligence Blog
-
QuickSight offers partial built-in multilingual support. Build a multilingual dashboard with Amazon Athena and Amazon QuickSight | AWS Big Data Blog
-
Currently, there is no native one-click migration tool from Looker to QuickSight. However, AWS partners offer proven migration accelerators and approaches to facilitate this transition.
- Please find the relevant official migration resources below for your reference
- How Wavicle’s QuickSight Migration Solution Accelerates Adoption of Amazon QuickSight | AWS Partner Network (APN) Blog
- Accelerate migration from traditional BI tools to Amazon QuickSight with generative AI and Storm Reply | AWS Business Intelligence Blog
- Automate and accelerate your Amazon QuickSight asset deployments using the new APIs | AWS Business Intelligence Blog
- Please find the relevant official migration resources below for your reference
Hi @vibhu22oct,
Just checking back in since this thread hasn’t received a response in a while. Was Xclipse’s reply helpful to you and/or were you able to find a solution yourself in the meantime? Please help the community by marking this answer as “Solution” or following up in general within the next 3 business days!
Thank you!