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Solutions

Start from the problem you have.

DataTug is one platform, but nobody buys a platform. Start from the problem you have today; each one leads to the next when you need it.

Explore the demo project How they connect
Watercolor of one coastline with five places, a harbour gatehouse, a chart room, a cartographer’s loft, a quay with a notice board and a lighthouse, joined by a tugboat’s wake.

Five solutions

  1. Watercolor of a harbour master raising a gate bar to let one tugboat through, beside cargo crates under tied-down tarpaulins and an open ledger on the gatehouse desk.

    Safe Data Access

    Let people and AI agents reach production data without handing over the keys

    Perimeter

  2. Watercolor of a navigator at a chart table tracing a crate’s route between islands with brass pins and a red thread, to a dashed ring on the chart.

    Incident Investigation

    Find out what happened to a customer’s order, payment or account

    Detective · Context Bag

  3. Watercolor of a cartographer’s hands joining an old sepia map and a modern blue chart of one coast with a thread between the same lighthouse on each.

    Data Understanding

    Know what a column means before you join on it

    MeaningGraph

  4. Watercolor of a crew member at a spyglass on a quay while copies of the same chart are passed hand to hand along it on cards.

    Data Exploration & Sharing

    Ask a question across several databases and share the answer

    Queries · Dashboards

  5. Watercolor of a lighthouse keeper’s logbook on the window sill, with bell buoys marking known rocks in the bay beyond.

    Data Quality & Monitoring

    Spot data problems before a customer has to tell you

    Checks · Validators · Watch

The Solution Graph

Each solution stands on its own. Together they hand work to each other: what one finds, the next one uses.

Read the connections as text

The graph shows the intended connections. Not every one is implemented today; each solution page marks which parts are available, in development or planned.

Roles and solutions

Which solutions each role starts from, and which are also useful. Each mark opens that role’s page at the solution.

Starts with Also useful

Roles and the solutions they use: primary or also useful
RoleSafe Data AccessIncident InvestigationData UnderstandingData ExplorationData Monitoring
DevelopersPrimary: Developers, Safe Data AccessPrimary: Developers, Incident InvestigationAlso useful: Developers, Data UnderstandingPrimary: Developers, Data Exploration & SharingAlso useful: Developers, Data Quality & Monitoring
AI agent buildersPrimary: AI agent builders, Safe Data AccessAlso useful: AI agent builders, Incident InvestigationPrimary: AI agent builders, Data UnderstandingNot a main fitNot a main fit
HelpdeskPrimary: Helpdesk, Safe Data AccessPrimary: Helpdesk, Incident InvestigationAlso useful: Helpdesk, Data UnderstandingNot a main fitAlso useful: Helpdesk, Data Quality & Monitoring
SRE and on-callPrimary: SRE and on-call, Safe Data AccessPrimary: SRE and on-call, Incident InvestigationAlso useful: SRE and on-call, Data UnderstandingNot a main fitPrimary: SRE and on-call, Data Quality & Monitoring
Security and compliancePrimary: Security and compliance, Safe Data AccessAlso useful: Security and compliance, Incident InvestigationNot a main fitNot a main fitAlso useful: Security and compliance, Data Quality & Monitoring
Data analystsAlso useful: Data analysts, Safe Data AccessNot a main fitPrimary: Data analysts, Data UnderstandingPrimary: Data analysts, Data Exploration & SharingAlso useful: Data analysts, Data Quality & Monitoring
QA and testersPrimary: QA and testers, Safe Data AccessAlso useful: QA and testers, Incident InvestigationNot a main fitPrimary: QA and testers, Data Exploration & SharingAlso useful: QA and testers, Data Quality & Monitoring
Engineering managersPrimary: Engineering managers, Safe Data AccessPrimary: Engineering managers, Incident InvestigationNot a main fitNot a main fitAlso useful: Engineering managers, Data Quality & Monitoring

Illustrative vision · not a live demo

One order, end to end

How the five solutions work together on one problem. Northwind order 11045 is sample data, and some steps use capabilities that are in development or planned: the story shows where DataTug is going, and each solution page says what is available today.

  1. A customer asks where order 11045 is

    An ordinary ticket: Bottom-Dollar Markets asks when order 11045 will arrive, as it is due tomorrow and has no tracking number yet. Sarah takes it and opens a case.

    Incident Investigation

  2. The Perimeter governs access

    Sarah and the agent helping her read Orders and Payments in production. Contact details come back masked; nothing can be changed without approval. (Masking and approvals are planned.)

    Safe Data Access

  3. MeaningGraph finds the links

    The order is OrderID in Northwind, order_ref in Payments and order_id at the carrier. MeaningGraph knows they are the same order, so the related records line up. (Cross-source linking by MeaningGraph is planned; today a person maps the meaning.)

    Data Understanding

  4. Queries and logs find the discrepancy

    A saved query shows the payment was captured; the carrier API has no booking; the log says route-17-2 expired the day before.

    Data Exploration & Sharing

  5. The findings are preserved

    Queries, evidence and the conclusion stay in the case. The approved rebooking runs for that one order, and the audit trail, planned, says who agreed.

    Incident Investigation

  6. A Check spots it next time

    The query that explained it becomes a Check, “paid but not booked after 24 hours”. Three weeks later it flags order 11082 before the customer needs to ask.

    Data Quality & Monitoring

Try it on sample data

The public demo project opens in the browser with sample Northwind and Chinook data. No sign-up.

Explore the demo project