Your industry.
Four ways to query.

SQL joins customer and account records, filters recent transactions and calculates the totals the service team needs.

SQL narrows activity by amount and time. Graph follows account and counterparty links to reveal the connected records.

SQL selects case records, Graph connects accounts and documents, and FTS finds names, phrases and references within the evidence.

FTS matches policy terms; Vector retrieves passages with similar meaning. SQL supplies document versions and business context for the application.

SQL groups operational records by branch, date and status, with the underlying rows available for drill-down.

SQL joins records on transaction references, compares amounts and groups unresolved differences for review.

SQL selects a merchant or transaction cohort. Graph traverses the shared relationships an investigator needs to inspect.

SQL retrieves the dispute and transaction details. FTS searches the indexed evidence for relevant terms and phrases.

SQL filters payment activity, Graph follows merchant and account connections, and FTS locates matching language in case documents.

FTS matches error codes, Vector finds related explanations, and SQL adds merchant context and the source article's version.

SQL filters due dates and repayment status, joins borrower records and aggregates outstanding amounts.

SQL provides loan and borrower attributes. Graph follows the declared relationships between borrowers, guarantors and businesses.

SQL selects asset and loan records, Graph connects ownership and financing relationships, and FTS searches collateral descriptions and documents.

SQL retrieves the application and document metadata. FTS finds references and phrases in the indexed loan file.

FTS matches product terminology, Vector finds related guidance, and SQL identifies the applicable product and source revision.

SQL joins application and task records, filters by stage and groups turnaround times for operational reporting.

SQL retrieves application fields. Graph follows borrower, guarantor and asset relationships for the reviewer's assessment.

SQL organises application data, Graph links the supporting entities, and FTS finds evidence within the associated documents.

SQL provides application IDs and document versions. FTS locates matching clauses and reference terms for the reviewer.

FTS matches lending terminology and Vector finds semantically related guidance. SQL supplies product context and source metadata.

SQL filters claims by stage, joins assignment records and calculates operational counts and elapsed times.

SQL narrows the claim cohort. Graph follows shared entities and relationships for an investigator to assess.

SQL retrieves claim details, Graph connects the policy and parties, and FTS locates relevant wording in the evidence.

SQL identifies policy and revision metadata. FTS searches the indexed wording for exact terms and phrases.

FTS matches terminology, Vector finds similar descriptions, and SQL provides source dates and case attributes for human review.

SQL joins portfolio records, filters effective dates and aggregates the imported holdings and transaction data.

SQL supplies account and client attributes. Graph follows household, ownership and adviser relationships.

SQL retrieves positions, Graph connects instruments and issuers, and FTS locates relevant terms in issuer research.

SQL supplies client context. FTS and Vector retrieve research by named entities, exact wording and similarity of meaning.

SQL identifies the client and agreement version. FTS searches the indexed document for the instructions being reviewed.

SQL filters records by fund and date, aggregates flows and retrieves the underlying transactions.

SQL selects dated position records. Graph connects funds, instruments and issuers through declared relationships.

SQL identifies the scheme and publication version. FTS finds phrases and named terms in the indexed text.

SQL supplies request and holding records, Graph follows distributor relationships, and FTS searches the related correspondence.

FTS matches names and terminology, Vector finds related themes, and SQL supplies fund attributes and publication dates.

SQL filters and joins order and trade records, then aggregates the selected activity for analysis.

SQL supplies entity and instrument attributes. Graph traverses the ownership and issuance relationships in your data.

SQL narrows recorded activity, Graph follows account and entity links, and FTS locates references in case evidence.

FTS matches names and phrases; Vector finds similar themes. SQL provides issuer, date and document-version context.

FTS and Vector retrieve source passages, Graph expands issuer relationships, and SQL supplies dated instrument and document records.

FTS matches product terms, Vector finds similar meaning, and SQL supplies price and stock for the application's final selection.

Vector finds similar items, Graph follows product and accessory relationships, and SQL provides availability and catalog attributes.

SQL joins order and inventory records, filters operational status and aggregates quantities and sales.

SQL retrieves product attributes. Graph follows the catalog relationships that your merchandising application defines.

SQL narrows return records, Graph connects orders and customers, and FTS searches descriptions and correspondence for relevant evidence.

SQL supplies customer and case context, FTS matches exact terms, and Vector finds guidance phrased differently from the question.

SQL retrieves customer attributes and interaction dates. Graph follows the links between customers, conversations and cases.

SQL supplies case status, Graph connects the related interactions, and FTS finds promises, issue terms and quoted language.

SQL selects queues, teams and date ranges. FTS finds matching phrases in indexed transcripts for manual review.

SQL groups operational records by team, queue and period, with filters for status and assignment.

SQL retrieves encounter fields and dates. Graph follows the declared links to documents, teams and related operational records.

SQL filters referral and task status. Graph connects the encounter, receiving service and responsible team.

SQL selects encounter records, Graph resolves associated documents, and FTS searches their indexed text for relevant terms.

FTS matches service terminology, Vector retrieves related guidance, and SQL supplies the source revision and service metadata.

SQL filters dates and service locations, joins operational records and groups workloads by status or team.

SQL retrieves service and asset attributes. Graph follows the declared dependencies between customers, services and network assets.

SQL selects incident records, Graph follows service dependencies, and FTS finds error terms and observations in the linked notes.

FTS matches error codes, Vector finds similar symptoms, and SQL supplies product context and source versions.

SQL joins customer and subscription records, filters billing periods and aggregates operational totals.

SQL supplies device and software-version attributes. FTS finds command names and exact procedures in indexed runbooks.

SQL retrieves flight status and itinerary fields. Graph follows route and connection relationships for the operations application.

SQL selects work records, Graph follows asset and component links, and FTS searches technical references and maintenance notes.

SQL filters flight records by date, airport and status, then groups operational totals and delay durations.

FTS matches rule terminology, Vector finds guidance related to a question, and SQL supplies itinerary context and document versions.

SQL retrieves scan events and timestamps. Graph follows the recorded relationships between baggage, flights and transfer locations.