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    Gigasheet Business 50GB

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    Sold by: Gigasheet 
    Gigasheet Business with 50GB shared storage

    Overview

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    -Gigasheet Business edition with 5 Editors and 100 Viewers. -50GB Shared Storage across the organization -Business tier data source connetors

    Highlights

    • Gigasheet Business is the easiest way to work together on big data at your organization. No code, SQL, or training is required.

    Details

    Delivery method

    Deployed on AWS

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    Pricing

    Gigasheet Business 50GB

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    Pricing is based on the duration and terms of your contract with the vendor. This entitles you to a specified quantity of use for the contract duration. If you choose not to renew or replace your contract before it ends, access to these entitlements will expire.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    12-month contract (1)

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    Dimension
    Description
    Cost/12 months
    Business 50GB
    50GB shared storage for Gigasheet Business
    $5,000.00

    Vendor refund policy

    In general, orders are non-cancelable and non-refundable once executed. If you live in a region where there is a legally mandated refund policy, you may be eligible for a refund within 14 days of initial purchase. Any additional paid features, such as enrichment credits or API requests, are non-refundable. It is important to note that there are no refunds on any purchase after 14 days of initial purchase.

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    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) .

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    Usage information

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    Delivery details

    Software as a Service (SaaS)

    SaaS delivers cloud-based software applications directly to customers over the internet. You can access these applications through a subscription model. You will pay recurring monthly usage fees through your AWS bill, while AWS handles deployment and infrastructure management, ensuring scalability, reliability, and seamless integration with other AWS services.

    Resources

    Vendor resources

    Support

    Vendor support

    Includes onboarding, setup, and dedicated account manager. Visit https://support.gigasheet.com  to learn more or file a support ticket. You can also email us directly at support@gigasheet.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.

    Customer reviews

    Ratings and reviews

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    22 external reviews
    Star ratings include only reviews from verified AWS customers. External reviews can also include a star rating, but star ratings from external reviews are not averaged in with the AWS customer star ratings.
    Research

    Excellent support team

    Reviewed on Jun 12, 2025
    Review provided by G2
    What do you like best about the product?
    User friendly interface, multiple ways to combine filters, capacity to process very large files (over 2 million rows, in my case), excellent customer support.
    What do you dislike about the product?
    After starting off free, many features now require a subscription, which is not cheap. This makes the service less affordable for, say, independent researchers.
    What problems is the product solving and how is that benefiting you?
    I needed to visualize and browse a file that was too big for excel.
    Oren F.

    My Data Work for Me Now

    Reviewed on May 24, 2023
    Review provided by G2
    What do you like best about the product?
    Gigasheet is an intuitve solution to creating decision advanatages out of data. Plenty of tools promise to do "Big Data" Gigasheet actually delivers.
    What do you dislike about the product?
    Nothing. The team is incredible and the produt works.
    What problems is the product solving and how is that benefiting you?
    Processing huge data set that are mission critical.
    Ernests B.

    Easily the best program to get grasp of a large JSON file!

    Reviewed on May 03, 2023
    Review provided by G2
    What do you like best about the product?
    The interface is beautiful and easy to understand, which makes it a goto program for both beginners and experienced data analysts.
    What do you dislike about the product?
    I haven't found a big downside yet - the platform does what it is supposed to, and to business customers the pricing is understandable.
    What problems is the product solving and how is that benefiting you?
    Analyze a JSON file above 3 GB
    Grayson M.

    Great Service, Great Customer Support

    Reviewed on Feb 02, 2023
    Review provided by G2
    What do you like best about the product?
    The service provides a large amount of storage for files that I otherwise wouldn't be able to view. Very user friendly and staff are helpful in resolving issues.
    What do you dislike about the product?
    So far it has lived up to every expectation I have had.
    What problems is the product solving and how is that benefiting you?
    Gigasheet has assisted me in viewing large documents that cannot be opened on my computer. The service enables me to view full documents without breaking them up
    Research

    Great tool for navigating large datasets!

    Reviewed on Jan 31, 2023
    Review provided by G2
    What do you like best about the product?
    The ability to navigate through large JSON files with ease, and in a clear interface made my work extracting data from massive files much easier!
    What do you dislike about the product?
    Nothing! It's a really great program! I just wish there was a discounted rate for students or postdocs.
    What problems is the product solving and how is that benefiting you?
    I needed to sort through a large volume of publicly available data that is only available in JSON format and this significantly decreased my time spent just accessing data instead and let me focus on the analysis.
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