The Baserow agency.Your data, on your infra.
Baserow is an open-source, self-hostable no-code database, the Airtable alternative with unlimited rows and full data residency, but a raw Docker image isn't a production setup. We deploy and harden it on Docker or Kubernetes, model your data, wire the REST API and migrate you off Airtable.
★★★★★Verified Trustpilot reviews · AI, automation & growth agency
ActiveCampaign
Adalo
AdCreative.ai
Ahref
Airtable
Allo (The Mobile First Company)
Anthropic
Apify
Apollo.io
AttioAttio Implementation Partner
Base44
Baserow
Brevo
Bright Data
Browse AI
Bubble
CaptainData
ChatGPT
Claude
Claude CodeClaude CoworkClaude Design
Clay
Clickup
Cursor
DeepSeek
Dust
ElevenLabs
Fillout
Flutterflow
Folk CRM
Folk Implementation Partner
Freepik Spaces
Gamma
GeminiA Baserow agency runs it in production, not just installs it.
Anyone can pull the Docker image. Hardening self-hosted Baserow, modeling your data so it stays clean, and wiring it into your stack is a different job. Here are the four things we own.
- Self-hosting
Baserow self-hosted and hardened on your infra
Open source is only worth it if it runs reliably. We deploy self-hosted Baserow on Docker or Kubernetes on your own servers or private cloud, wire PostgreSQL, the Celery worker and Redis the way the official images expect, and harden it: TLS, automated backups, restore tested, monitoring, and updates that don't break on the next release. You get the unlimited rows and full data residency, without your data team becoming reluctant sysadmins.
See a typical deployment - Data modeling
Tables, fields and views that match how you actually work
A no-code database is only as good as its schema. We model your tables, fields and link-to-table relations so the data stays clean, then build the grid, gallery and kanban views each team needs, with formulas and rollups that do the math instead of a spreadsheet on the side. Role-based permissions keep the right people on the right tables. The result is a base your team trusts, not a dumping ground that drifts in a month.
See the method - API & automations
Wired to your stack via REST API and webhooks
Baserow earns its place as a backend, not a silo. We use its REST API and webhooks to connect it to the tools you already run (Make, n8n, Zapier, your own services), build the automations that move records without manual copy-paste, and use it as the data layer behind Webflow, WeWeb or FlutterFlow front ends. When the standard fields aren't enough, we extend it with the plugin SDK.
See the integrations - Migration & AI
Off Airtable, without losing your data
When data residency or per-seat cost stops making sense, we migrate you off Airtable: export, the Airtable importer, schema rebuilt cleanly, automations and views recreated, nothing lost in the move. We also wire the AI workflows on top, so your base does more than store rows. We're an automation and AI agency first, so Baserow plugs into how your team already works.
See AI enablement
We deploy Baserow like production infra, not a side project.
Most self-hosted Baserow setups die the same way: a Docker image spun up once, no backups, no upgrade path, a schema that drifts, and a team that's scared to touch it. So we treat it like infrastructure: deployed and hardened on Docker or Kubernetes, backed up with a tested restore, modeled cleanly, and handed over with a runbook your team can actually follow.
- Audit · map your data, your stack, and whether self-hosting or cloud actually fits you
- Deploy · Docker or Kubernetes, PostgreSQL, backups and TLS, hardened by default
- Model · tables, fields, link-to-table relations, views and permissions that stay clean
- Integrate · REST API, webhooks and automations wired into the tools you already run
We self-host Baserow ourselves.
We don't sell a partner tier. We run self-hosted Baserow on our own infra, so we deploy it the way it actually behaves in production: PostgreSQL and the Celery worker wired right, backups tested, TLS in front, and a documented restore. That's exactly what's missing when a deployment ends at a Docker image nobody dares to upgrade.
- We run self-hosted Baserow ourselves, so we deploy it the way it actually behaves in production, not the way a quickstart suggests.
- Data residency by default: your base lives on your infra, your backups are yours, and we document the restore so you're never locked out.
- You leave autonomous: the deployment, schema and runbook live in your repo, so your team owns it without us.
- No badge to sell. We're judged on whether your base stays up, clean and useful after we leave, not on a partner tier.
Baserow at the core, your data stack around it.
We configure the parts that turn an open-source database into reliable infrastructure, then connect them to how your team already works. Here's what a real deployment covers.
- Setup
Docker / Kubernetes deployment
We deploy self-hosted Baserow on Docker Compose or Kubernetes, wire PostgreSQL, the Celery worker and Redis as the official images expect, and set it up to survive a server reboot and a version bump.
- Setup
Backups, TLS & hardening
We set automated database backups with a tested restore, TLS in front, monitoring and log rotation, and the network and access controls that keep a self-hosted base safe and your data resident where you need it.
- Setup
Data modeling & views
We model your tables, fields, link-to-table relations and formulas, then build the grid, gallery and kanban views each team needs, so the schema stays clean instead of drifting into a mess.
- Setup
REST API & webhooks
We connect Baserow to your stack through its REST API and webhooks, so records flow to and from Make, n8n, Zapier or your own services without anyone copy-pasting between tools.
- Setup
Roles, SSO & permissions
We set role-based permissions per workspace and table, and wire SSO/SAML on the enterprise tier where you need it, so the right people see the right data and access stays auditable.
- Setup
Plugins & AI workflows
When stock fields fall short we extend Baserow with the plugin SDK, and we wire the AI workflows on top, so your base classifies, enriches and routes records instead of just storing them.
We map your data setup, you leave with a plan.
Before quoting anything, we take 60 minutes to look at your data, your infra and whether self-hosting Baserow actually fits. You leave with an honest read on cloud versus self-hosted, what to deploy first, and what your migration off Airtable would take. Zero pitch, just an engineer's take on your data setup.
- An honest read on self-hosted versus cloud for your team
- The deployment and guardrails to wire first
- The data model and integrations worth building
- A frank take on when it's not the right fit
How we run a Baserow deployment.
Five steps, in order. We don't let anyone trust the base before backups and permissions are wired, we don't skip the data model, and your team owns it at the end. Each step has a deliverable and you sign off before we move on.
- Step 1 · Data audit
Map your data and whether self-hosting fits
We sit down with your team and look at the real data: where it lives now, how messy it is, who needs which tables, and what compliance or residency rules apply. We check your infra and your stack. Half the value is telling you honestly whether self-hosted Baserow fits, or whether the hosted cloud or a different tool is the saner call, so you don't run servers you didn't need to.
- Step 2 · Deploy & harden
Deploy self-hosted Baserow and lock it down
We deploy Baserow on Docker or Kubernetes on your infra, wire PostgreSQL, the Celery worker and Redis the way the official images expect, then harden it: TLS, automated backups with a tested restore, monitoring, and an update path that won't break on the next release. You get unlimited rows and full data residency, with a runbook so your team isn't guessing when something needs attention.
- Step 3 · Model the data
Tables, fields and views that stay clean
We model your tables, fields and link-to-table relations so the data stays consistent, build the formulas and rollups that do the math, and set up the grid, gallery and kanban views each team needs. Role-based permissions keep the right people on the right tables. The point is a base your team trusts, not a spreadsheet graveyard that drifts in a month.
- Step 4 · Integrate & automate
Wire the REST API, webhooks and automations
We connect Baserow to the tools you already run through its REST API and webhooks: Make, n8n, Zapier or your own services. We build the automations that move records without manual copy-paste, use it as the backend behind your WeWeb, Webflow or FlutterFlow front ends, and extend it with the plugin SDK when the stock fields aren't enough. Everything ships with its permissions and logging from day one.
- Step 5 · Hand over
Document it, then get out of the way
We hand you the deployment, the schema and a runbook so your team can run the base without us: how to back up and restore, how to upgrade, how to add a table without breaking the relations. If you want to go deeper, our no-code and automation training covers it end to end. If you want us on call for what scales next, we talk about that separately.
We're judged on the base that stays up.
No partner badge to display, so we lead with what matters: feedback from the teams whose Baserow deployment we ran, and whether the base stayed up, clean and trusted after we left. Our Trustpilot reviews come from those teams, not from a marketing deck.
- The deployment and schema live in your repo, owned by your team
- Backups, restore and permissions wired before the base holds anything
- Migrations off Airtable done cleanly, nothing lost in the move
- Trustpilot reviews come from the teams we deployed it for
The questions we get asked on repeat.
What does a Baserow agency actually do?
A Baserow agency takes the open-source no-code database from a Docker image to something your team actually runs on. We deploy self-hosted Baserow on Docker or Kubernetes and harden it (TLS, backups, monitoring), model your tables, fields, views and link-to-table relations, wire the REST API and webhooks into your stack, and migrate you off Airtable when it makes sense. The point is a base that stays up, clean and useful, not a self-hosted install nobody dares to upgrade.How much does a Baserow project cost?
It depends on scope: a self-hosted deployment and a clean data model is nothing like a full Airtable migration with automations and a plugin or two. We don't throw out a flat package. We start with a free 60-minute audit to see whether self-hosting even fits you, then quote a fixed scope. Baserow itself is open source, so the core costs you nothing; an enterprise license for SSO and advanced features you pay Baserow directly, and we set up the deployment so the infra bill stays predictable.Should we self-host Baserow or use the cloud?
Self-host when data residency, compliance (GDPR, HIPAA, SOC 2) or per-seat cost at scale push you that way, since self-hosted Baserow gives you unlimited rows and full control over where your data lives. Use the hosted cloud if you want zero ops and a SaaS bill is fine. Part of the audit is telling you honestly which one fits, because running servers you didn't need is its own kind of expensive. We set up whichever is the saner call for your team.Can you migrate us from Airtable to Baserow?
Yes, that's a common reason teams call us. We export your Airtable data, use the Airtable importer, then rebuild the schema cleanly in Baserow (tables, fields, link-to-table relations) rather than just dumping rows, and recreate your views and automations so nothing breaks. We check what doesn't map one to one (some field types and integrations differ) and tell you up front, so the migration is a clean cutover, not a surprise.How do you integrate Baserow with our other tools?
Baserow is API-first, so we wire it to your stack through its REST API and webhooks. That means automations in Make, n8n or Zapier that move records without manual copy-paste, and Baserow as the data backend behind WeWeb, Webflow or FlutterFlow front ends. When the stock fields or behavior fall short, we extend it with the plugin SDK. The goal is Baserow as the data layer your other tools read and write, not another silo your team copies out of by hand.Is self-hosted Baserow safe and compliant?
It can be, but only if it's set up that way, and that's a big part of the job. We put TLS in front, set automated backups with a tested restore, lock down network access, and wire role-based permissions per workspace and table, plus SSO/SAML on the enterprise tier. Because the data lives on your infra, you control residency, which is what makes Baserow attractive for GDPR, HIPAA or SOC 2 contexts. We document the runbook so security stays maintainable after we leave.When is Baserow not the right fit?
We'll tell you straight. If you want zero ops and a hosted SaaS already covers your needs, self-hosting Baserow adds work you may not want, and the cloud or even staying on Airtable can be the saner call. And if your real need is a high-volume transactional app (heavy writes, complex queries, strict latency), that belongs on a proper backend with a real database layer, not a no-code base. Baserow shines as a flexible, self-hostable database for teams, not as an OLTP engine.Do you hand it over or keep us dependent?
We hand it over. The whole point of open source and self-hosting is that you own it. We give you the deployment, the schema, and a runbook covering backup and restore, upgrades, and how to add tables without breaking the relations, so your team runs the base without us. If you want to go deeper, we run a no-code and automation training that covers Baserow end to end. If you want us on call for what scales next, that's a separate conversation, never a lock-in.
Stop running a fragile install. Deploy it right.
A 60-minute audit, your data setup mapped, a deployment plan with backups and permissions baked in. If your team can run the base in-house after setup, we'll hand you the runbook. If we're the right fit, we handle it.