Data Panda brings the MySQL databases behind your applications together with the data from the rest of your business. From one place, we turn it into dashboards, automations, AI workflows and custom apps your team uses every day.
MySQL is the widely deployed open-source relational database now owned by Oracle. It powers WordPress, Magento and most LAMP stacks, and stays a default choice for transactional workloads in ecommerce, SaaS and internal tools. If a PHP or Node backend was built in the last fifteen years, there is a good chance the operational data lives in MySQL.
The point of pulling MySQL into a warehouse is that most MySQL databases carry years of history that the business never looks at properly. Reports run directly on the live database are slow, fragile and compete with end-user traffic, and the weekly dump someone set up long ago is already a bad starting point. In a warehouse, MySQL joins CRM, accounting and commerce data without putting reporting load on the system that has to stay up.
Operational data joined to the rest of the stack, without queries against production.
Let changes in MySQL fire actions in the tools around it.
Score and classify directly on the data the application writes.
Internal tools on MySQL data without handing out raw DB access.
A list of concrete reports, automations and AI features we have built on MySQL data. Pick the one that matches your situation.
Are our dashboards running directly on production MySQL?
A survey of which dashboards query MySQL directly, with load, query cost and risk flagged. Highlights the reports that will time out at the next traffic spike and the reports that should move to the warehouse first.
What changes when the application ships a new release?
Schema change log with added, renamed and removed columns, linked to the dashboards that use each. The release conversation stops breaking reporting quietly on a Tuesday deploy, because the impact is visible before the migration runs.
Which users are about to churn based on what they do in the product?
Churn scoring built on real product-usage signals from the MySQL schema, not on login count. Flags the accounts whose usage pattern has shifted in a way that predicted churn in previous cohorts.
Revenue and usage data from the app joined to the accounting ledger, without reporting load on production. Subscription, usage-based and transactional revenue tie back to the same customer record.
Product usage and engagement on every CRM account, sourced from MySQL. Reps see who is about to expand and who is going quiet before the renewal call.
Schema drift, data-quality gaps and load shifts monitored in one place. Reporting becomes part of the deploy check instead of a surprise every release.
Users, accounts and key events from the MySQL-backed application push into HubSpot as contacts, companies and timeline events. Sales and CS stop asking product for a CSV and see usage signal on the record in real time.
Invoices generated by the MySQL-backed application post to Exact Online with customer, VAT and ledger coding resolved. The app keeps its own invoicing logic and finance still gets clean sales journal entries.
MySQL account rows align to the Stripe customer and subscription they belong to, so product-usage signals and billing state live on one line. Churn scoring, billing reconciliation and plan-change triggers run on the same id.
Usage signals from the application database push onto Salesforce accounts as custom fields and timeline activity. Account executives see expansion and churn signals before renewal, without a separate BI tool for sales.
You keep the reporting tool you already have. We connect it to the warehouse where your MySQL 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.
Binlog-based change-data-capture against a read replica is the default, so reporting workload never touches the primary. For smaller databases, scheduled incremental sync on updated_at is available. Schema and load profile are tuned to the tenant.
Schema changes are tracked and versioned in the warehouse. Added columns appear, renamed ones link to their history, and removed columns stay read-only so older reports still run. Dashboards depending on a removed column get flagged instead of silently returning null.
We review your MySQL setup and the systems around it. Together we pick the first thing worth building.