Data Panda brings your Notion pages and databases together with the data from the rest of your business. From one place, we turn your workspace into dashboards, automations, AI workflows and custom apps your team uses every day.
Notion was founded in San Francisco in 2013 by Ivan Zhao and Simon Last, with the current product shipping from August 2016 onward. A $275 million Series C in October 2021 valued the company at $10 billion, and Notion reports over 100 million users and 62 percent of Fortune 100 companies on the platform, alongside customers like OpenAI, Figma and Ramp. The product is built from a small set of blocks that stack into pages, databases, wikis, projects, calendars and more recently Notion Mail and AI agents.
What makes Notion interesting to report on is exactly what makes it hard to govern: every team's workspace is user-defined. A sales team's CRM database, a product team's roadmap, an HR team's onboarding wiki and a support team's playbook all live in the same tool with different shapes. Pulling Notion into a warehouse turns that sprawling workspace into something auditable. You can finally answer which databases have owners, which pages no one has touched since 2022, and which internal wiki the rest of the company links to.
Page count, database health, ownership coverage and edit cadence across the entire workspace.
Let Notion events drive the rest of your stack, without someone copying a status into Slack every morning.
Put your actual workspace behind AI that knows your wiki, not a generic assistant that makes things up.
Small tools that sit on top of Notion content for people who do not live in the Notion sidebar.
A list of concrete reports, automations and AI features we have built on Notion data. Pick the one that matches your situation.
How much of our Notion workspace is in active use?
Pages grouped by last-edited age and link-in count, per team and parent space. Distinguishes the 20 percent of pages that absorb most of the traffic and edits from the long tail that hasn't moved since someone left the company. That's the baseline before any cleanup project.
Which databases are missing ownership, status or key fields?
Per database, the share of rows with blanks on owner, status or any field you flag as required. Trended over time so you see whether discipline is improving, staying flat, or drifting as teams onboard new people.
Do our Notion roadmap items match what engineering shipped?
Notion roadmap entries joined to Jira tickets, GitHub PRs or release notes, compared against the status the Notion page claims. Surfaces roadmap items marked done in Notion with no linked delivery, and shipped work that never got reflected back in the public roadmap.
When Notion hosts light CRM, vendor or budget databases, finance gets the same pipeline and spend coverage numbers from Notion that the core systems already deliver. No more reading through pages to check whether a renewal was logged.
For sales teams using Notion as account or deal notes, notes and custom databases land next to the CRM record. Rep activity and pipeline entries in Notion stop being invisible to the VP Sales dashboard.
A company-wide view on documentation ownership, stale pages and database hygiene. Ops can run a quarterly wiki cleanup with a real list instead of relying on gut feel about which team is the worst offender.
Roadmap entries in a Notion database create the matching Jira ticket in the right project and epic, with description, priority and target release carried across. Status updates flow back so the Notion roadmap reflects what Jira shows, and product owners stop maintaining two copies of the same list.
Project pages in Notion generate the delivery project and initial tasks in Asana, keyed on the project ID. As tasks close in Asana, the Notion page shows live status instead of a stale checkbox someone forgot to tick, and the project doc and the task board stop drifting apart mid-quarter.
Edits on flagged Notion pages or status changes on key database rows post a compact update to the Slack channel that owns the topic, with a link back to the page. Teams stop relying on someone watching Notion, and page owners see a lightweight audit trail of who changed what next to the conversation where it matters.
Teams that run account or deal notes in a Notion database get two-way sync with HubSpot: new Notion rows create HubSpot contacts, and HubSpot updates flow back into the Notion record. The result is one truth per contact instead of a sales team maintaining their real notes in Notion and a half-updated record in the CRM.
These are the 3 tables we currently pull from Notion into your warehouse. Query them directly in SQL, join them to the rest of your stack, or build reports on top.
Missing a table you need? We can extend the sync. Tell us what is missing and we will build it for you.
You keep the reporting tool you already have. We connect it to the warehouse where your Notion data lives.
OAuth authentication. Read-only by default. We sign a DPA and your admin keeps the keys.
Data flows into your warehouse on your schedule. Near real time or nightly, your call. You own the data.
We build the first dashboard, workflow or AI feature with you, then hand over the keys. Or we stay on for ongoing delivery.
We set up the foundation. Your team builds on top.
Best fit Teams that already have a BI analyst or data engineer and want to own the build.
We build the whole thing, end to end.
Best fit Teams without in-house BI or dev capacity. You tell us what you need and we deliver it.
You do. It lands in your warehouse, on your cloud account. We don't resell or aggregate it. If you stop working with us, the warehouse stays yours and keeps running.
Near real time for most operational systems. For heavier sources we schedule hourly or nightly. You pick based on what the reports need.
No. If you don't have one, we help you pick one and set it up as part of the first delivery. Common starting points are Snowflake, Microsoft Fabric, or a small Postgres start.
Notion's databases are user-defined, so there's no single schema to pre-model. The sync pulls the Databases, Database Items and Pages tables with the properties each database carries, exposed as columns. What we do not do is pretend a generic 'tasks' or 'CRM' model exists under it. We land the raw shape, then the analytics layer is where per-workspace business logic sits, one database at a time.
Page properties and database fields come across as structured columns. Full block-level page content (paragraphs, headings, toggles, embedded databases) is deeper and the Notion API paginates it per page. We can pull it where a use case needs it, for example internal search or stale-content scoring, and leave it out where property-level reporting is enough. Worth agreeing the scope per database rather than a blanket 'everything'.
Notion's API has published per-integration rate caps and a 100-item page size for queries. On a workspace with tens of thousands of pages this matters. We use incremental sync based on last_edited_time, schedule reads around the cap, and skip archived pages unless you want them. Large workspaces still take longer on the first backfill, after which ongoing syncs are small.
We review your Notion setup and the systems around it. Together we pick the first thing worth building.