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    Pydio Cells - Enterprise Distribution

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    Sold by: PYDIO 
    Deployed on AWS
    Pydio Cells is the nextgen file sharing platform for Enterprises.

    Overview

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    Pydio Cells Enterprise is a self-hosted file sharing, sync and mobile access for Businesses. Using AWS infrastructure, you can start your own branded, file storage solution in few minutes at a compelling price point. Pydio's client apps are available for all the major desktop and mobile operating systems ( Windows, Mac , Linux, iOS, and Android). Pydio can be completely customized to reflect your organization brand: company logo and run Pydio under your own domain. Based on the leading Open-Source Project " Pydio", Pydio Cells Enterprise is currently used by more than 1000 businesses across more than 20 countries in various sectors including Financial, Health, Media, Industrial and in Government entities.

    Highlights

    • File Sync and Share - Allows you to create your own, branded file sharing, sync and mobile access, solution for your teams, customers and partners.
    • Hybrid - You can connect to your hosted or internal LDAP/AD, and enable your teams to access documents hosted internally and in public clouds the same way.
    • Pay as you grow - Trial and free plan available

    Details

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    Delivery method

    Delivery option
    64-bit (x86) Amazon Machine Image (AMI)

    Latest version

    Operating system
    AmazonLinux AL2023

    Deployed on AWS
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    Pricing

    Pydio Cells - Enterprise Distribution

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    Pricing and entitlements for this product are managed through an external billing relationship between you and the vendor. You activate the product by supplying a license purchased outside of AWS Marketplace, while AWS provides the infrastructure required to launch the product. AWS Subscriptions have no end date and may be canceled any time. However, the cancellation won't affect the status of the external license.
    Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator  to estimate your infrastructure costs.

    Vendor refund policy

    None

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    Legal

    Vendor terms and conditions

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    Usage information

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    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

    Cells v5 is our most ambitious release yet. It brings a redesigned content experience with the new Pages display and a completely revamped custom metadata system, alongside a big improvement to the microservices engine built for cloud and clustered deployments. From end-user collaboration to large-scale Kubernetes operations, every layer of the platform has been rethought.

    What's new for users and editors The new Pages display introduces a modernized browsing and authoring experience: default namespaces are installed on first run, the editor gains richer formatting and Table-of-Content hints, and the overall navigation has been refreshed to make publishing internal pages feel as natural as managing files.

    Custom metadata has been rebuilt around a new Entity Values store, unlocking togglable fields, focus-based editing, popover tagging, validation flows on the info panel, and pre-filled schema defaults for personal team uploads. Combined with debounced search across text-based fields and expanded i18n coverage (German, French, Norwegian, Brazilian Portuguese, Japanese, Ukrainian), the day-to-day experience is faster, friendlier, and easier to tailor to each organization.

    Pydio Cells 5.0 is built for the cloud Under the hood, we've enhanced the v4 runtime with an update to the plugin-based microservices engine, now driven entirely by a single bootstrap.yaml configuration. Every infrastructure component - servers, brokers, queues, caches, config and storage backends - is initialized through a unified URL-scheme plugin system (grpc://, nats://, redis://, sql://, mongodb://, vault://, etcd://...), making it trivial to swap an embedded backend for a managed cloud service.

    Enterprise & Security The Enterprise build adds LLM/OpenAI integration for AI-assisted features, a dryRun mode for the scheduler syncer, refined policy/ACL semantics (user UUIDs instead of logins, cross-node ACL references), and an additional S3 signature mode (signed + trailer) for broader SDK compatibility. On the security side, SameSite=Strict session cookies, read-authorization enforcement on Cells/Roles/Namespace endpoints, and blocking of unsafe forgot-password external links harden the platform out of the box.

    V5 is the result of two years of intensive engineering on top of the v4 stateless foundation.

    If you want to help us and participate by adding translation to your language, it is really easy: just navigate to the Pydio Cells project in Crowdin, create an account and get started!

    More info in our public release note on https://github.com/pydio/cells/releases/tag/v5.0.2 

    Additional details

    Usage instructions

    If you want to give a first quick glance at Cells with no hassle, just launch the AMI on a t2-medium EC2 instance, with no user data, no extra mounted volume. You only have to enable HTTPS (443) and SSH ports via security groups. For a safer, production ready instance, please refer to the provided documentation.

    Support

    Vendor support

    Answer within 1 business day info@pydio.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.

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