Sold by: Nademark
Deployed on AWS
AWS Free Tier
Parqify Viewer lets you instantly preview Parquet files (including schema) and CSV files directly from Amazon S3 via a web UI without building pipelines or downloading data.
Overview
Parqify Viewer lets you instantly preview Parquet files (including schema) and CSV files directly from Amazon S3 via a web UI without building pipelines or downloading data. Simply enter an S3 path to explore your datasets. Parqify Viewer connects to your S3 buckets and provides an intuitive interface to inspect schemas, browse rows, and validate data structure in seconds. It's built for fast data inspection, debugging, and validation workflows. Running entirely within your AWS environment, Parqify Viewer ensures your data never leaves your infrastructure, giving you full control, privacy, and security. Parqify Viewer is ideal for data engineers, analysts, and developers who need quick visibility into raw data stored in S3. Looking for more? Parqify also offers advanced data conversion and schema customization, transforming CSV and JSON into optimized Parquet for analytics at scale.
Highlights
- Inspect Parquet Files data and schema
- Analyze columns, types, and structure
- Preview datasets directly from S3
Details
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Delivery method
Delivery option
64-bit (x86) Amazon Machine Image (AMI)
Latest version
Operating system
AmazonLinux Amazon Linux 2023
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
This product is available free of charge. Free subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
If you are an AWS Free Tier customer with a free plan, you are eligible to subscribe to this offer. You can use free credits to cover the cost of eligible AWS infrastructure. See AWS Free Tier for more details. If you created an AWS account before July 15th, 2025, and qualify for the Legacy AWS Free Tier, Amazon EC2 charges for Micro instances are free for up to 750 hours per month. See Legacy AWS Free Tier for more details.
Vendor refund policy
There is no refund policy, but you can try Parqify Viewer for free to see if it meets all your needs.
Legal
Vendor terms and conditions
Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA) .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
64-bit (x86) Amazon Machine Image (AMI)
Amazon Machine Image (AMI)
An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Parqify Viewer Initial version (v.1.0.0) Release Notes:
Initial release of Parqify Viewer: a lightweight web-based tool for exploring Apache Parquet data, Parquet schema, and CSV data directly from Amazon S3.
Features
- Explore Apache Parquet data and schema in S3
- Inspect Parquet column types and structure
- Preview CSV files
- Simple browser-based GUI
- Fast dataset inspection for validation and debugging
- Runs fully inside your AWS account and VPC
- No data leaves your infrastructure
Ideal For
- Data engineers
- Analysts
- ETL and data lake workflows
- Schema validation and troubleshooting
Deployment
- Available as an AMI
- Uses IAM permissions for secure S3 access
Additional details
Usage instructions
Subscribe to Parqify Viewer in AWS Marketplace. Launch an EC2 instance from the Parqify AMI in your target AWS Region. Select an instance type supported by this product. Configure networking: Public deployment: launch in a public subnet with a public IPv4. Private deployment: launch in a private subnet and ensure private connectivity from your client network. Configure the security group: Allow HTTP 80 from your trusted client CIDR. Allow SSH 22 from your trusted admin CIDR. Avoid open access from 0.0.0.0/0 unless required for testing. Configure storage: Parqify Viewer requires root EBS volume of at least 20 GiB (gp3 recommended). Attach an EC2 instance profile (IAM role) with required S3 permissions for viewing your parquet/CSV files. Launch the instance and wait until it reaches running and status checks pass. Retrieve the one-time activation code: In EC2 console, open the instance and go to Actions -> Monitor and troubleshoot -> Get system log. Search for: PARQIFY VIEWER INITIAL ACTIVATION CODE (ONE-TIME): Open the Parqify Viewer UI: Public deployment: http://<public-ip>/ Private deployment: http://<private-ip>/ from a connected path (VPN / Direct Connect / bastion / Session Manager tunnel). On first login, enter the one-time Activation Code, then set a new password when prompted. Login with the newly created password. Fill the S3 path to the files you want to view and press View Parquet/Schema/CSV.
Resources
Vendor resources
Support
Vendor support
Please contact us via email: support@nademark.com
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Parqify is a customer-managed AWS Marketplace AMI for CSV to Parquet and JSON to Parquet conversion in Amazon S3, with a web UI to manage conversion jobs in your AWS account. Running on Linux, Parqify keeps data, IAM, storage, and networking under customer control and supports AWS data engineering and data lake preparation workflows without an external SaaS control plane. It converts CSV and JSON into compressed Apache Parquet to help produce analytics-ready datasets, with schema inference, three schema inference modes, parallel processing, job tracking, downloadable logs, and support for public or private subnets, including private-only VPC endpoints, as a Parquet conversion tool and Parquet optimization solution for Amazon Athena, Amazon Redshift, and Apache Spark.
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