Display.dev vs Powabase: Features, Pricing & Which Is Better (2026)
A side-by-side comparison of Display.dev and Powabase — features, pricing, and ideal use cases — to help you decide which AI tool fits your workflow.
Display.dev
Display
Turns HTML or Markdown into permanent, authenticated URLs restricted to your company.
Key features
- Gated Publishing: Converts HTML or Markdown into a permanent URL that requires company authentication, ensuring content is only accessible to authorized organization members.
- SSO Integration: Enforces single sign-on (SSO) access control so published pages are automatically restricted to users within the company's identity provider.
- Multi-Interface Publishing: Publish content via a command-line interface (CLI), MCP, or directly from the browser for fast workflows and CI/automation integration.
- One-Command Publish: Rapid publishing workflow where a single command or action creates a permanent, authenticated URL for HTML/Markdown artifacts.
- Agent Artifact Support: Designed to host agent-generated outputs and other programmatically produced HTML/Markdown artifacts behind corporate access controls.
- Permanent Stable URLs: Provides long-lived, stable links for sharing internal reports, demos, or documentation without exposing them publicly.
- Publish HTML and Markdown to permanent URLs
- Company-restricted authentication for published URLs
- Multiple publishing interfaces: CLI, MCP, and browser
- One-command publishing workflow for agent-generated artifacts
- Persistent hosting of published artifacts
Best for
- Publishing internal demos and prototypes so product teams can share interactive HTML prototypes with stakeholders behind company SSO.
- Hosting agent-generated reports or dashboards (LLM/automation outputs) as authenticated pages accessible only to company employees.
- Sharing internal documentation, release notes, or design specs via permanent, authenticated URLs instead of attaching files or using public hosting.
- Distributing secure marketing previews or partner demos to authorized viewers without making content publicly discoverable.
- Integrating publishing into CI/CD or automation pipelines to automatically publish build artifacts, test reports, or generated docs behind SSO.
- Providing single-click access to temporary or ephemeral artifacts for troubleshooting and collaboration while keeping them gated to the company.
- Publish agent-generated reports or artifacts behind company authentication
- Share internal documentation or demos as permanent, authenticated URLs
- Quickly expose HTML/Markdown outputs from automation or agents to teammates
- Create internally-restricted landing pages or previews without external hosting
Powabase
Powabase
Backend-as-a-Service combining per-project Postgres, storage, auth, realtime, RAG pipeline and agent runtime for AI apps.
Key features
- Per-Project Postgres Provisioning: Automatically provisions an isolated Postgres instance (with pgvector) per project, providing persistent storage and a vector store for RAG workflows.
- Integrated BaaS Surfaces: Built-in auth (GoTrue-compatible), storage, REST (PostgREST) and realtime features that are compatible with Supabase client libraries for seamless developer experience.
- Document Extraction and Indexing Pipeline: On upload, documents are extracted, converted to embeddings and indexed for retrieval-augmented generation and fast semantic search.
- Agent Runtime and Tooling: Hosts an agent runtime that runs agents and enables them to call external tools over plain HTTP or the MCP protocol, simplifying tool integration.
- HTTP-First API Surface: Exposes agents, orchestrations, workflows, sources and knowledge bases as plain HTTP endpoints under /api/, requiring no special SDK to drive platform features.
- Orchestration and Workflows: Provides workflow and orchestration primitives to coordinate multi-agent processes, human-in-the-loop steps, and automated pipelines.
- Self-Host or Managed Deployment: Offers both self-hosting options for data control and a hosted service for quick onboarding and lower operational overhead.
- Per-project Postgres with pgvector for vector storage and full SQL access