Open WebUI vs Dify: which team needs chat and which needs to build
The first question is who will spend their day in the tool. If the main need is a shared AI workspace where staff chat with models, attach knowledge collections and call approved tools, Open WebUI fits that job directly. Its own documentation frames it as conversation-first, aimed at using AI rather than building AI applications. It wins when the audience is a large group of non-developers, the team wants SSO through OIDC or LDAP, SCIM 2.0 provisioning and group-based permissions, and an offline-capable setup is a requirement. Dify wins when a builder team must ship RAG applications, multi-step workflows or agents, with a visual interface, prompt tooling and backend APIs that other systems call. Its strength is the build loop, not the staff chat experience.
The decision then turns on four checks. First, identify who builds and who uses: if builders are a handful of engineers and users are a wide population, the two products can coexist, which the connection path below makes practical. Second, check the license against your user count and tenancy model. Open WebUI code from v0.6.6 onward carries a branding clause that applies above 50 end users in any rolling 30 day period unless you hold an enterprise license or written permission, while Dify's modified Apache 2.0 license forbids operating a multi-tenant environment from its source without authorization and forbids removing the logo or copyright in the console. Have legal confirm how each clause maps to your deployment. Third, confirm the edition you need, since Dify's Community edition is limited to a single workspace and SSO and multiple workspaces sit in the paid Enterprise edition. Fourth, decide who operates the stack. Dify's Docker Compose guide starts PostgreSQL, Redis, Weaviate, Nginx, a code sandbox and several application services, so plan ownership for upgrades, secrets such as SECRET_KEY, and sandbox network controls.
Many organizations land on both. Open WebUI can register a Dify endpoint and key as a connection under Admin, Settings, Connections, so published Dify apps appear as models for staff without giving them a builder interface. Before choosing that path, confirm that your Dify apps expose the API surface you need and that the Open WebUI user count still fits the license terms that apply to your deployment. Ask your implementation partner for a written scope that names both platforms, their identity integration and the team that will receive upgrade and incident duties for each.
Which platform fits which scenario
This table maps common Open WebUI and Dify scenarios to the platform that usually fits better and why. Read each row for the condition that would change the answer, such as user count, whether outsiders use the app, or whether a vector store already exists.
| Scenario | Better fit | Reason and what changes the answer |
|---|---|---|
| Company-wide assistant over local and cloud models | Open WebUI | It is built for staff to chat with Ollama, OpenAI, Anthropic or other OpenAI-compatible models from one interface. Above 50 users in a rolling 30-day period, branding changes need an enterprise license or written permission. |
| Internal RAG app for one department | Depends on the build | Open WebUI knowledge bases suit staff who ask questions of shared documents. Dify suits a department that needs a defined RAG pipeline, prompt tuning or a workflow it designs and publishes as an app. |
| Multi-team agent catalog | Dify | Dify is designed to build workflows, agents and prompt pipelines through a visual interface and expose them as apps. Multiple teams building their own apps need a clear workspace plan, since the Community edition is limited to a single workspace. |
| Customer-facing AI product | Neither as-is, confirm licensing first | Dify's license forbids operating a multi-tenant environment from its source without written authorization. Open WebUI's branding clause applies once the user count passes the threshold. Confirm terms with each vendor before launch. |
| Team that already runs its own vector store | Open WebUI, if it supports that store | Open WebUI's retrieval features list 13 vector databases, including Qdrant, Milvus and PGVector. Dify defaults to Weaviate and offers Qdrant, Milvus, pgvector and others as options. Confirm which store your team operates and whether each platform connects to it. |
| Team that needs SSO and SCIM provisioning now | Open WebUI | Open WebUI documents OIDC, LDAP, SCIM 2.0 and role-based access in its features docs. Dify lists SSO in its Enterprise edition, which is custom priced, so confirm the scope you need. |
| Team that wants both building and daily chat | Both, connected | Build apps in Dify, then add its OpenAI-compatible endpoint in Open WebUI so the apps appear as models for staff. Staff chat in one place while builders keep the workflow tooling. |
How each platform is built and what that means for operations
Open WebUI is one application that scales out only after you add shared state and storage. Dify is a multi-service stack from the start. The cards below set out what each part means for patching, backups and sizing before you commit.
Conversation-first install paths
Open WebUI installs through Docker, Docker Compose, Kubernetes with Helm, or pip install open-webui followed by open-webui serve. For a single team, one container with its default storage is the simplest footprint to patch and back up. The choice of install path sets who owns the upgrade process, so confirm whether your platform team will run Helm charts or whether a single host is enough. Check the release notes before each upgrade, since v0.12.3 was published on October 16, 2026.
Multi-replica state requirements
Running more than one Open WebUI replica changes the architecture. The scaling guide requires PostgreSQL instead of SQLite for multi-instance deployments, Redis for sessions, websocket connections and application state, and shared file storage so uploads and knowledge stay reachable from every replica. Each of these becomes a service you back up and patch. Ask your team to test a replica failover before go-live rather than assuming the shared state works.
Dify's multi-service Compose stack
The Dify Docker Compose deployment starts the api, worker, web and plugin daemon services with PostgreSQL, Redis, Weaviate, Nginx, a code sandbox and an SSRF proxy. Every one of these containers needs an image update, and each database or vector store holds data that needs its own backup and restore test. Dify's documented minimum is 2 CPU cores, 4 GB of RAM and Docker Compose 2.24.0 or later, which is a starting point for a lab rather than a production size.
Patching the Dify sandbox and proxy
The code sandbox and SSRF proxy in Dify's stack exist to isolate agent code execution and block outbound requests to internal address ranges. Treat them as security-relevant components with their own update cadence, not as background helpers. Dify 1.17.1 was released on September 10, 2026, and minor releases have arrived roughly monthly, so plan a regular patch window. Confirm with your security team how the sandbox and proxy are monitored and who approves their updates.
Dify data stores to back up
Dify keeps application data in PostgreSQL by default, with the vector store defaulting to Weaviate and file storage configurable to S3-compatible or Azure Blob. A complete backup must cover the metadata database, the vector index and the file store together, or restored knowledge bases will not match their source records. The SECRET_KEY also matters: changing it after deployment logs out all users, so store it in your secrets manager and include it in your recovery runbook.
Sizing and what to confirm
Neither platform's minimums are a production sizing. For Open WebUI, confirm the expected concurrent users, the knowledge base volume and whether you need the Redis and shared storage layers from day one. For Dify, confirm the workflow concurrency, the vector store choice and whether the Enterprise Kubernetes deployment is needed for high availability. Ask each vendor, or your DeployOpen scope, to document the sizing used for a load test before you commit to a platform.
How Open WebUI vs Dify compares on identity, retrieval and extensibility
This table sets Open WebUI and Dify side by side on purpose, identity, retrieval, access control and release pace. Where a row depends on the Dify Enterprise edition, the cell says so, and the confirm-with-vendor notes matter most for procurement. The main takeaway is that Open WebUI documents its identity controls in its standard feature set, while Dify's SSO depends on the paid Enterprise edition.
| Capability | Open WebUI | Dify |
|---|---|---|
| Primary purpose | Conversation-first chat workspace for using AI, with knowledge and tools | Build-first platform for visual workflows, RAG pipelines, agents and prompt design |
| Model connections | Ollama, OpenAI, Anthropic or any OpenAI-compatible provider from one interface | Many model providers configured inside the builder, with Dify apps also exposed through an OpenAI-compatible API |
| OIDC, LDAP and SAML | OIDC and LDAP documented in the features docs; SAML not listed in the supplied facts | OpenID Connect, SAML and OAuth2 in Dify Enterprise SSO; confirm whether the self-hosted Community edition has SSO (it is listed as Enterprise only) |
| User provisioning | SCIM 2.0 user and group provisioning documented | Not in the supplied facts; confirm SCIM support with Dify before relying on it |
| Access control | Role-based access control with groups and per-resource permissions | Separate SSO scopes for workspace access and web app access; multi-workspace management on Enterprise |
| API keys and MFA | API keys and authenticator-app MFA documented | Token-based API authentication between services is described in the 1.16.1 release notes; confirm MFA options with Dify |
| Vector database options | 13 supported vector databases, including ChromaDB, PGVector, Qdrant, Milvus and Elasticsearch | Weaviate by default, with Qdrant, Milvus, pgvector, OpenSearch and Elasticsearch as options |
| Retrieval features | Hybrid BM25 plus vector search with cross-encoder reranking | RAG pipelines built visually; confirm which retrieval and reranking steps are exposed in your version |
| Workflow and agent building | Limited to chat-side tools and knowledge; the platform is not designed as a builder | Visual workflows, agents, prompt IDE and backend-as-a-service APIs are core features |
| Release cadence | v0.11.0 in July, v0.12.0 on October 10 and v0.12.3 on October 16, 2026 (GitHub releases) | 1.16.0 on July 17, 1.17.0 on August 25 and 1.17.1 on September 10, 2026 (GitHub releases) |
What the Open WebUI License and Dify's license allow you to do
Staff-only use is the simplest case for both products, but the answer still depends on user count and on whether you plan to change branding. Read the Open WebUI License and the Dify license against your actual headcount and deployment shape before rollout.
- Open WebUI at or below 50 users: The branding restriction does not apply to a deployment with no more than 50 end users in any rolling 30-day period.
- Open WebUI above 50 users: Keep Open WebUI branding intact unless you hold an enterprise license or written permission from the copyright holder.
- Dify Community edition: Self-hosting is free, but the edition is limited to a single workspace, so it fits a team that shares one workspace.
- Dify with several departments: Multiple workspaces belong to the custom-priced Enterprise edition, so request that quote early if departments need separate workspaces.
- Older Open WebUI code: Code through v0.6.5 remains BSD-3-Clause, but confirm with counsel before relying on it for a current deployment.
Check how each vendor counts end users, including contractors and service accounts, and confirm your peak rolling 30-day figure before you decide.
Products offered to customers or to separate tenants raise the license terms most directly. Dify restricts multi-tenant operation from its source, and Open WebUI's branding clause can apply as soon as external users push a deployment past the threshold.
- Dify multi-tenant operation: The modified Apache 2.0 terms forbid operating a multi-tenant environment from Dify source without written authorization. In this license, one tenant is one workspace.
- Dify Community for hosted services: Running Community deployments as a service that separates customers into their own workspaces falls under that restriction, so get authorization before launch.
- Open WebUI for external users: Customers count toward the 50-user threshold in a rolling 30-day period, so a customer-facing chat front end can cross it quickly.
- Commercial routes: The license terms point to an Open WebUI enterprise license and to a commercial license from LangGenius for Dify. Neither price is published, so both require a quote.
- Illustrative scenario: A consultancy that gives each client its own Dify workspace would need written authorization from LangGenius before going live.
Ask each vendor in writing whether your hosting model, including client-specific workspaces or external access, is covered, and what each route costs.
White-labeling is where the two licenses differ most in practice. Open WebUI names an enterprise license as the route to custom branding, while Dify's protection covers the logo and copyright in its console regardless of user count.
- Open WebUI enterprise license: Enterprise licenses allow white-labeling and custom branding, along with dedicated support options, according to the Open WebUI Enterprise documentation.
- Open WebUI without an enterprise license: Above the threshold, altering or removing branding needs written permission from the copyright holder or an enterprise license.
- Dify logo and copyright: Removing or modifying the logo or copyright in the Dify console requires a commercial license from LangGenius, whatever the user count.
- Dify Enterprise scope: The custom-priced Enterprise edition adds SSO, multiple workspaces, advanced security, a commercial license and professional support. Confirm in writing that its commercial license covers your branding.
- Scope of the change: Decide whether you need to change only the interface name and logo or also the console and documentation, because the terms may treat these differently.
Get the branding scope, the user count basis and the written permission terms in one document before you design the interface or console.
How to connect Dify apps to Open WebUI as models
This sequence gives an Open WebUI administrator a Dify app that appears as a selectable model in Open WebUI, with access limited to the groups that should use it. It also sets out the checks that keep Dify's own user model and secrets separate from Open WebUI's.
Deploy Dify and build the target app
A Dify administrator deploys the self-hosted Dify stack, using the Docker Compose method in the Dify documentation, and builds the workflow, chatflow or agent app that Open WebUI users will call. Dify's Community edition is free to self-host but limited to a single workspace, so confirm the workspace layout before building. The step is complete when the app runs successfully inside the Dify console and its behavior has been tested with sample prompts.
Record the Dify endpoint and API key
From the Dify app's API access area, the administrator copies the base endpoint and the app-level API key that Open WebUI will use. Treat the key as a credential: it should be issued for this integration, not shared from a personal account. The step is complete when the endpoint is reachable from the Open WebUI host over the network path you have approved, which you can confirm with a simple request from that host.
Add the connection in Open WebUI
An Open WebUI administrator goes to Admin, Settings, Connections and adds the Dify endpoint and key as an OpenAI-compatible connection, as described in the Open WebUI documentation for Dify. Record who approved the connection and where the key is stored, because Open WebUI holds it on its side of the integration. The step is complete when the connection saves without error and the status check passes.
Confirm Dify apps appear as models
After the connection saves, the administrator opens the model selector in Open WebUI and checks that the Dify app is listed under its expected name. Compare the list with the apps the Dify administrator intended to expose, because every app the key can reach may appear. The step is complete when only the intended apps are visible and a test prompt returns a response from the Dify app rather than a different model.
Test model access per group
Using Open WebUI's role-based access control, the administrator assigns the Dify model to specific groups and then signs in as test users from each group to confirm who can see and use it. Open WebUI documents RBAC with groups and per-resource permissions, so confirm the exact model-level controls in your version before relying on them. The step is complete when a user outside the approved groups cannot select the Dify model and a user inside the group can.
Check where keys and secrets live
The security team reviews where each secret sits: the Dify API key in Open WebUI's connection settings, Dify's SECRET_KEY and its encryption settings in the Dify environment, and any provider keys inside Dify. Dify's documentation notes that changing SECRET_KEY after deployment logs out all users, so plan rotation carefully. The step is complete when each secret has an owner, a storage location and a rotation procedure written down.
Keep Dify's user model separate
Dify keeps its own accounts, workspaces and roles, which Open WebUI does not manage, so a person's access in Open WebUI does not grant or remove access inside Dify. Confirm which Dify users can edit the app, which Open WebUI users can call it, and whether Dify's SSO scopes are configured if you use Dify Enterprise. The step is complete when the two access models are documented side by side and a reviewer has signed off on the difference.
Confirm the Dify version and retest
Record the exact Dify version in use, then confirm the API behavior and the security notes for that release against the Dify releases page before go-live, since minor releases arrive roughly monthly. Repeat the model visibility and group tests after every Dify or Open WebUI upgrade. The step is complete when the version, the tested Open WebUI version and the date of the last retest are recorded in the runbook.
What drives the running cost of each platform
Running cost has five parts, and only some of them belong to the platform vendors. For Dify, the self-hosted Community edition is free to download and run, but the Docker Compose footprint is not small: the Dify Docker Compose guide asks for at least 2 CPU cores and 4 GiB of RAM and starts PostgreSQL, Redis, Weaviate, Nginx and a code sandbox alongside the API, worker and web services. Open WebUI's own infrastructure is lighter for a single instance, since it runs from one container with SQLite, but the scaling guide requires PostgreSQL, Redis and shared file storage once you run more than one replica. Vector storage, object storage, backups and monitoring are then yours to size, whichever platform you pick. Model provider spend sits outside both platforms and usually grows with the number of users and the length of their conversations.
The one-time work is setup, integration and the licensing decision. The recurring work is upgrades, monitoring and the vector store. Dify ships minor releases roughly monthly (for example 1.16.0 on July 17, 2026, then 1.17.0 on August 25, 2026), and each upgrade needs a test pass against your apps, plugins and connected data. Open WebUI's releases come at a similar cadence, with v0.12.3 published on October 16, 2026. Staff time for these cycles is the largest recurring cost in most estimates, and it rises with the number of custom Dify workflows and Open WebUI knowledge bases you maintain. Licensing adds a second decision: an Open WebUI deployment above 50 end users in a rolling 30-day period that alters branding needs an enterprise license, while Dify's multi-tenant or logo-removal use needs a commercial license from LangGenius. Ask both vendors for a written quote tied to your seat count and tenancy model.
Ask for a written quote that separates each cost line. Request the enterprise license price for Open WebUI, based on the expected seat count, and the Dify Enterprise price, which is custom and adds SSO, multiple workspaces and professional support. Dify's published Cloud prices (590 US dollars per year for Professional and 1,590 US dollars per year for Team) are subscription prices for a hosted service, not self-hosting costs, so do not use them as a baseline. Ask DeployOpen for a fixed-scope quote covering installation, integration, hardening, backup design, upgrade work and any retainer for ongoing support or upgrades, with deliverables and timelines written out before work starts. DeployOpen does not publish prices, so the quote is the only source for its figures. Confirm with each vendor which features your team needs, because SSO and multi-workspace administration sit in paid tiers.
What transfers and what is rebuilt when moving between them
This sequence shows which parts of a Dify setup can carry over to Open WebUI and which must be rebuilt, so the team can scope the move before any user or app is switched. The output is a written inventory and a cut-over plan that name each app and user group.
Inventory users, groups and roles
The platform team exports the user list, group memberships and role assignments from Dify, then maps each group to the Open WebUI groups and permissions it will need. Dify's community edition is limited to a single workspace, so check whether your Dify deployment uses Enterprise multi-workspace features, since those structures will need a separate mapping. Identity is the first decision: confirm whether sign-in will run through OIDC or LDAP in Open WebUI, because Dify Enterprise SSO uses OpenID Connect, SAML or OAuth2 and the two identity setups will not match one for one. The step is done when every user and group has a named target in Open WebUI and the identity source is agreed in writing.
Classify each Dify app by its purpose
The team lists every Dify app and marks it as either a chat-style assistant that staff use for questions, or a builder asset such as a multi-step workflow, an agent with tool chains or a pipeline that other systems call. Open WebUI's documentation says Dify exposes an OpenAI-compatible API, so a Dify app can appear as a model in Open WebUI, but visual workflow logic stays in Dify. Apps that are chat-only candidates become Open WebUI models, and builder apps stay in Dify. The output is a classification sheet with one decision per app and a named owner who signs it off.
Rebuild knowledge bases and their permissions
Dify knowledge data does not move automatically into Open WebUI's knowledge feature, so each source set is reloaded and re-indexed in the target. Open WebUI's retrieval supports 13 vector databases, including Qdrant, Milvus and PGVector, so confirm which store the team will run and whether it is shared across replicas. Access rules must be rebuilt using Open WebUI groups and per-resource permissions, not copied from Dify's workspace model. The step is complete when each knowledge set returns expected answers to a fixed test question list and its access matches the group map from step one.
Migrate chat history where the formats allow
Conversation history is the piece most likely to be partial. The team exports Dify conversation logs from the database, checks the fields against the schema of the target, and imports only the records that map cleanly, keeping the rest in an archive. Because Dify's metadata database can be PostgreSQL, MySQL or OceanBase, the export tooling depends on the database in use, so confirm this with the Dify administrator before writing scripts. The output is an archive of all Dify conversations plus a list of what was imported, with record counts checked against the source.
Check the licence position before go-live
The licence terms change the work. Open WebUI's branding clause applies to deployments above 50 end users in a rolling 30-day period unless the operator holds an enterprise licence or written permission, and Dify's licence forbids operating a multi-tenant environment from its source and removing the logo or copyright in its console without commercial terms. If the team has modified either product's branding or runs a multi-tenant setup, legal review and a licence decision must close before cut-over. The step ends with a written licence memo that states the user count, the deployment type and the chosen licence for each product.
Run both platforms in parallel
Staff move in groups while Dify stays online for builder apps and for any chat app not yet migrated. The team connects the chosen Dify apps to Open WebUI as models, tests answers and permissions on each group, and records issues in a shared log. Open WebUI's scaling guide requires PostgreSQL and Redis for multi-replica deployments, so the parallel environment should match production. The step is done when each group has signed off in writing and open defects are either fixed or accepted by the owner.
Retire the old endpoints and confirm
Once each group is signed off, the team removes staff access to the migrated Dify chat apps, revokes the API keys and endpoints no longer in use and keeps builder apps that still run workflows. Secrets such as the Dify SECRET_KEY must be handled with care, because changing that key after deployment logs out all users. The step closes with an access review that confirms no retired endpoint responds, the archive is stored under the agreed retention rules and the cut-over record is filed with the owner.
Where Open WebUI and Dify implementation projects usually run long
Implementation projects for these two platforms usually run long for different reasons, and the first decision is who owns the data and identity before any container starts. On Open WebUI, the common delay comes from identity integration: the OIDC or LDAP configuration, SCIM 2.0 provisioning and group-to-role mapping need an owner on the client side, and they are often decided after pilot users are already active. For multi-replica deployments, the work moves to infrastructure: PostgreSQL instead of SQLite, Redis for sessions, websocket connections and application state, shared file storage so uploads and knowledge stay reachable from every replica, and a client-server vector database. Confirm early which model connections (Ollama, OpenAI, Anthropic or other OpenAI-compatible endpoints) are approved, because each one carries its own credentials and data handling review.
Dify work is heavier on design and configuration. Teams need to settle the workflow and agent design, the vector store choice (the default is Weaviate, with Qdrant, Milvus, pgvector, OpenSearch and Elasticsearch listed as options in the environment reference), and the file storage backend. SECRET_KEY must be generated and stored before first launch, since changing it after deployment logs out all users. The sandbox and SSRF_PROXY settings need a network review, because they decide which internal and external addresses agent code can reach. Plan for the risk that the app catalog grows without scope: unowned Dify apps, unreviewed tools and unclear publishing rules are a frequent source of rework, so set an app governance owner and a publishing checklist first.
DeployOpen works to a written scope agreed before work starts, so the items above are listed as deliverables, owners and open decisions rather than discovered mid-project. Ask any implementer, DeployOpen included, to state in writing who owns data retention, which identity decisions are assumed, which model endpoints are in scope and what happens to the app catalog after handover. Any cost or effort figure in a quote should trace back to those items. Confirm the current release you will deploy against, since Open WebUI and Dify both publish minor releases frequently, and confirm upgrade ownership in the same document.
Open WebUI vs Dify questions buyers ask before hiring help
How much effort does it take to run Open WebUI compared with Dify?
Open WebUI is the lighter operational footprint for a chat workspace, while Dify is heavier because it is a platform with several services. The official Dify Docker Compose path asks for at least 2 CPU cores and 4 GB of RAM and starts api, worker, web, plugin daemon, PostgreSQL, Redis, Weaviate, Nginx, a code sandbox and an SSRF proxy. Open WebUI's install methods are Docker, Kubernetes with Helm and pip, but a multi-replica deployment needs PostgreSQL, Redis and shared file storage. Effort then depends on how many users, models, knowledge bases and apps you run, so ask each vendor to size your specific load and list the services in your target environment.
Can our own team operate Open WebUI or Dify without outside help?
Often yes for a single instance, but the answer depends on the skills you already have. Open WebUI's scaling guide makes PostgreSQL, Redis and shared storage necessary once you move past one container, so an operator needs to be comfortable with those. Dify asks your team to manage a multi-service stack, keep its secrets consistent (changing SECRET_KEY after deployment logs out all users) and apply minor releases that arrive roughly monthly. Confirm with your staff whether they can handle upgrades, backups and the vector store choice before you decide, and treat a small pilot as the test.
What skills and staff time should we plan for on each platform?
Plan for different skill sets. Open WebUI work centers on container operations, identity setup (OIDC, LDAP or SCIM 2.0), RBAC design and retrieval configuration across its supported vector databases. Dify work centers on building and maintaining workflows, prompt and model configuration, the vector store and metadata database, and its SSRF and sandbox settings. Both need someone who owns upgrades and backups. Ask who will maintain flows or knowledge over time, since a builder platform usually needs ongoing ownership by a builder team, not only an infrastructure team.
How long does setup usually take, and what changes the timeline?
No supplied figure gives a typical setup duration for either platform, so confirm estimates in writing rather than relying on a general number. The main drivers are the number of identity integrations, whether you need a multi-instance deployment, the vector database and file storage you choose, the number of model providers, the amount of data to ingest into knowledge bases, and how many Dify apps or workflows must be built and tested. Security review, change control and your own approval cycles often take longer than the technical install.
Does the Open WebUI branding clause apply to internal staff use?
It can, depending on user count. The Open WebUI License forbids altering or removing branding unless the deployment has no more than 50 end users in a rolling 30-day period, the copyright holder gives written permission, or you hold an enterprise license. Internal use is not exempt by default, so a deployment above 50 users in that window needs one of those conditions if you want to change the branding. Confirm how your organization counts end users, and get the license position in writing from the Open WebUI project before rollout. Dify's restriction is separate: it bars multi-tenant operation from source and removing the logo or copyright in the console.
What does a fixed-scope engagement with DeployOpen cover?
A fixed-scope engagement covers the work listed in a written scope, with deliverables and timelines agreed before work starts. For this comparison, that could include planning the target architecture, implementing the chosen platform in your own cloud, data center or air-gapped network, configuring identity and access, integrating models or vector stores, hardening, backup setup, documentation and handover. Ongoing support, upgrades and continuous testing are available as retainers. DeployOpen does not publish a price list, so a quote follows from the scope. Ask what is excluded, who approves changes, and how upgrades after handover are priced.
What should we ask for in a quote for either platform?
Ask for a written scope that names each component, the environment, the number of users and models, the identity integrations and the vector database. Cost comes from the labor to plan, implement, integrate and test, plus the infrastructure you pay your cloud or hardware provider for, which recurs. Licenses shape the recurring side: Open WebUI enterprise licensing is quoted after contacting sales with an expected seat count, and Dify Enterprise is custom priced, while the Dify Community edition is free and limited to one workspace. Ask what is one-time, what recurs and what changes the price if scope grows.
How DeployOpen helps you choose, implement or migrate
DeployOpen plans, implements, customizes, integrates, hardens, backs up, upgrades, documents and supports self-hosted open-source platforms inside your own cloud accounts, data centers or air-gapped networks. For Open WebUI vs Dify, we start by working out whether your teams need a shared chat workspace, a builder for RAG apps and agents, or both connected together.
How we scope
- Written scope names which teams get chat access, which apps Dify must build, and which identity source each platform uses.
- We record the Open WebUI License position for your user count and whether an enterprise license question applies.
- Engagements are fixed-scope, with deliverables and timelines agreed in writing before any work starts.
How we build
- We deploy Open WebUI and Dify in your environment, sized to the service list in the official install and deployment guides.
- We connect Dify apps to Open WebUI as models through its OpenAI-compatible API and test each connection end to end.
- We configure SSO, role-based access, vector store choice and file storage, then run security testing against both platforms.
How we hand over
- You receive configuration records, runbooks for upgrades and backups, and documented licensing decisions for each platform.
- Compliance-relevant evidence is prepared for your assessors, though DeployOpen does not issue audit reports or certifications.
- Your staff are walked through day-to-day administration so the team can run both platforms after handover.
How we support
- Ongoing support, upgrades and continuous testing are available as retainers, covering releases of both platforms.
- Retainer scope is agreed in writing, including how we handle minor release cadence for Open WebUI and Dify.
- Ask for a quote built from your written scope, since DeployOpen does not publish a price list.
