Onyx Is Great. Here's Why We Chose a Hosted Alternative Instead.
Onyx Is Great. Here's Why We Chose a Hosted Alternative Instead.
You found Onyx. You spun up the Docker container. You spent a weekend getting it running.
The README looked clean. Forty-plus connectors, semantic search, an AI assistant that could actually answer questions from your internal docs — all open source, MIT license, no per-user fees. It felt like exactly the right answer to the "we need Glean but we're not paying $30/user/month" problem.
So you cloned the repo, ran `docker compose up`, and waited. Twenty minutes later, Postgres was up, the Vespa vector store was initializing, the Celery workers were queuing, and you had a UI you could actually type into. You connected Confluence. You connected Slack. You ran a test query and it actually worked.
Then Monday came.
The Confluence connector failed silently after Atlassian rotated some OAuth behavior. A Celery worker stopped processing without an obvious error. The embedding model was pulling 4GB of RAM on the same server running everything else. Your teammate in another time zone tried to log in and couldn't, because SSO requires the Enterprise plan. You spent Tuesday debugging instead of shipping.
This is not a Onyx problem, exactly. This is the self-hosting problem. And it's worth being honest about it before you commit a weekend — or a week — to standing it up.
What Onyx Does Well
Let's start here, because Onyx genuinely deserves credit.
It is the best open-source Glean alternative available right now. The semantic search quality is real — it uses dense vector embeddings plus keyword re-ranking, and the results are noticeably better than naive full-text search. The AI assistant can synthesize answers across multiple documents with citations, which is the feature that makes knowledge search actually useful instead of just "ctrl+F but slower."
The connector library is deep: Confluence, Notion, Jira, Slack, GitHub, Google Drive, Salesforce, Zendesk, HubSpot, Linear, and dozens more. Most connectors support incremental syncing, so your index stays reasonably fresh without full re-crawls.
The MIT license means you own everything. No vendor lock-in, no usage telemetry you didn't consent to, no pricing surprises. You can read the source, patch it, fork it, or run it air-gapped. For organizations with strict data residency requirements, that's not a nice-to-have — it's the whole point.
And the community is active. The GitHub repo is well-maintained, issues get responses, and the Discord has real engineers who will help you debug. For an open-source project, the support experience is genuinely good.
If you have the infrastructure and the engineering bandwidth to run it, Onyx is excellent. That's not a backhanded compliment. It's just accurate.
The Hidden Cost of Self-Hosting
Here's what the README doesn't include in the "Getting Started" section.
Docker maintenance is ongoing work. The initial `docker compose up` is the easy part. You're running Postgres, Vespa (the vector store), a background task queue (Celery + Redis), an embedding model server, and a web API layer — all in containers that need updating, monitoring, and occasional manual intervention. When one of them has a bad day, you're reading container logs at 2am trying to figure out which service upstream is responsible.
Connector updates break when APIs change. Third-party APIs change constantly. Atlassian updated their OAuth flow, Slack deprecated an endpoint, Notion changed their block structure. When that happens to a managed SaaS product, the vendor fixes it and pushes an update. When you're self-hosting, you find out when users report that their Confluence sync stopped three days ago. You're now on the hook for tracking upstream API changes across 40+ integrations.
Embedding model hosting has real resource requirements. Onyx runs a local embedding model (typically a sentence-transformer variant) to generate vector representations of your documents. That model needs dedicated memory — usually 2-4GB of RAM — and ideally a machine that isn't already maxed out running your other services. If you're running this on a single EC2 instance to save money, you're going to feel it.
SSO requires the Enterprise plan. On the community self-hosted tier, SAML and OIDC SSO are not available. If your company uses Okta or Azure AD and requires SSO for all tools (which most security policies do past a certain size), you either pay for Onyx Cloud Enterprise or you're maintaining a separate credential system for this one tool.
Zero SLA, zero support. The Discord community is helpful, but it's not a support contract. If something breaks on a Friday afternoon and your team is presenting to a customer on Monday morning, you're debugging alone. There's no escalation path.
The cloud tier changes the math. Onyx does offer a hosted cloud option at $20/user/month. Which is actually a reasonable price for what you get. But it's worth naming: if you end up on Onyx Cloud, you've lost the main reason to choose Onyx over a purpose-built hosted product. You're paying per-user SaaS pricing, but with a product that was designed around the self-hosting use case.
The self-hosted knowledge search promise — zero licensing cost, full control — is real. But the labor cost is not zero. Budget a few hours a month for maintenance, plus unpredictable spikes when something breaks. That's the honest accounting.
Who Self-Hosting Actually Works For
There are organizations where Onyx self-hosted is genuinely the right answer. Let's be specific.
Security-paranoid organizations where data residency is a hard requirement. If your legal team or compliance posture requires that no document content ever leaves your infrastructure, self-hosted is the only option. Onyx is a good choice in this scenario. So is anything else that runs on your own hardware.
Large engineering teams with dedicated DevOps resources. If you have a platform team whose job includes maintaining internal tooling, the marginal cost of running Onyx is low. They know Kubernetes, they have monitoring in place, they can handle a connector update. The economics look different when the labor is already paid for.
Air-gapped or restricted-network deployments. Government contractors, defense, highly regulated industries — anywhere the network perimeter is a real constraint, self-hosting isn't just preferred, it's required.
Teams that genuinely enjoy infrastructure work. Some engineers find this satisfying. Running your own stack, optimizing it, understanding every component. If that describes your team, Onyx is a great project to run.
What it's not right for: a 10-person startup that wants to search across Notion, Slack, and GitHub, and whose engineering team is focused on their product. The ops burden is real, and it lands on whoever volunteered to "set up the internal search thing."
AskOro: Same Search Quality, Zero Ops
We built AskOro as a hosted Onyx alternative for teams that want the search quality without the infrastructure work.
The setup is five minutes: connect your tools, invite your team, start searching. No Docker. No vector database to provision. No embedding model to host. No connector updates to track. We maintain the infrastructure and keep the integrations current.
The pricing model is $49/month flat — not per user. For a team of 10, that's $4.90/user/month. For a team of 20, it's $2.45. It doesn't scale with headcount, which means you're not penalized for inviting your whole team.
SSO is included. Connector updates are our problem, not yours. Support means an actual human responds when something breaks. And we're SOC 2 compliant, so your security team has documentation to review.
The search quality is comparable. We use the same dense retrieval + re-ranking approach, the same connector depth, the same AI answer generation with citations. The difference is that you don't have to maintain any of it.
If you evaluated Onyx, liked what it does, but don't want the ops burden — AskOro is worth a look.
Onyx vs AskOro: Side-by-Side
| | Onyx (Self-Hosted) | AskOro |
|---|---|---|
| Pricing | $0 license + infrastructure costs | $49/month flat |
| Setup time | Half a day to a weekend | ~5 minutes |
| Maintenance | Ongoing (your team) | Handled by us |
| Support | Community Discord | Human support team |
| SSO | Enterprise plan only | Included |
| Connector updates | Manual (your team) | Automatic |
| Ideal team size | Large orgs with DevOps | 5–100 people |
| Data residency | Full control | SOC 2 compliant, US-hosted |
Try AskOro Free
If you're evaluating Onyx alternatives and want to skip the self-hosting complexity, AskOro offers a 14-day free trial with no credit card required.
Five minutes to connect your tools. No Docker. No debugging Celery workers at 2am.