Move data between applications, databases, files and approved platforms through a clearly mapped, transformed and tested integration flow. We help turn fragmented source-to-destination movement into a defined workflow your team can understand, validate and operate.
Starting at $20 USD. Standard defined scopes are delivered in 5–7 working days; complex integrations are confirmed after review.
Start with a small source-to-destination connection, build a repeatable workflow, or scope a multi-system integration around your architecture and operating requirements.
A focused entry scope for moving a structured file or similarly simple source into one destination with basic mapping and validation.
A broader integration with scheduled or repeatable movement, validation logic and clearer operational handover.
A custom engagement for interconnected applications, complex rules, multiple datasets or more demanding reliability needs.
Get in touch with our expert. Tell us what you need, and we'll help identify the most suitable service, scope and pricing for your requirement.
A defined workflow moves from system discovery and data mapping through build, validation, testing and handover.
Confirm systems, interfaces, datasets, access constraints and expected movement.
Define fields, formats, transformations, keys and source-to-target logic.
Configure the agreed connection, pipeline or repeatable data movement workflow.
Apply agreed checks for expected structure, records, exceptions and basic failures.
Run the integration, review outputs and refine the agreed scope from test findings.
Deliver the configured flow and the documentation or run guidance included in your plan.
Each engagement is shaped around the actual movement of data, not a generic automation checklist.
Review the available API, database, file, export or other supported access method for the systems in scope.
Map source fields, keys and values to the expected destination structure so the movement is explicit.
Apply agreed formatting, renaming, filtering, calculation or routing rules required between source and target.
Confirm expected records, structures, values or control totals where these checks are part of the selected scope.
Run the integration against agreed test conditions and review outputs before final handover.
Document the implemented flow, important assumptions and operational points included in your package.
Data Integration can mean a simple one-way connection or a more operational workflow. The correct design depends on how data changes, how quickly it must move and how the target system expects to receive it.
The technical pattern should follow the business and data requirement rather than forcing every project into the same architecture.
Suitable when data can move at defined intervals and immediate synchronization is not required.
Connect applications through supported interfaces when structured request and response exchange is available.
Move changed or newly added data rather than reprocessing the entire dataset when the systems support it.
Use only when both systems must exchange updates and conflict, ownership and update rules can be clearly defined.
The actual solution depends on the access methods exposed by your systems. These examples show the type of source-to-target movement the service can be designed around.
| Source | Integration Need | Destination | Key Scoping Consideration |
|---|---|---|---|
| Business applicationCRM, operations or internal app | Move selected records through an available interface | Database or reporting layerStructured downstream use | API limits, identifiers, change logic and data ownership |
| DatabaseOperational or analytical store | Extract, transform and load a defined dataset | Data platformCentralized target | Schema, keys, incremental logic, volume and validation |
| CSV / spreadsheet / file feedRecurring or controlled files | Standardize and load incoming data | Application or databaseStructured import target | File naming, structure consistency, duplicates and rejected records |
| API endpointExternal or internal interface | Fetch, transform and route response data | File, database or applicationDefined target structure | Authentication, pagination, retries, rate limits and error responses |
| Multiple approved sourcesSeveral related datasets | Consolidate into a common mapped structure | Single targetUnified downstream use | Matching keys, precedence, standardization and exception rules |
Deliverables are confirmed against your selected plan so the implemented flow and handover expectations are clear before work starts.
Source-to-target mapping, transformations and important assumptions included in the agreed scope.
The connection, pipeline or repeatable data movement workflow that forms the core project output.
Agreed checks and test observations showing how the implemented flow was reviewed before handover.
Run notes, configuration guidance or implementation documentation included in the selected plan.
This comparison describes the working-state change the service can directly create. It does not imply specific commercial results.
A useful integration should make the data movement understandable, testable and supportable within the agreed scope.
Use the service when the problem is the movement, mapping or synchronization of data between defined systems.
Connect a small number of systems without building a large integration program around a focused requirement.
Move approved operational data into a structured destination for downstream analytics or reporting use.
Connect applications or services through available interfaces with clearly defined mapping and control logic.
Replace repeated manual exports and imports with a more structured movement workflow where systems allow it.
Bring recurring data feeds into a defined target so reporting inputs are easier to refresh and review.
Standardize how data passes between key systems as manual handoffs become harder to manage.
These examples show how the service can be scoped without implying that they are real Rudrriv customer projects or guaranteed outcomes.
Use these answers to understand scope, inputs, delivery and what happens after you submit a requirement.
The service can cover source and destination review, field mapping, transformation rules, connection or pipeline configuration, validation, testing and handover documentation. The exact depth depends on the selected plan and the systems involved.
We need the systems you want to connect, the data that needs to move, source and destination access details or technical documentation, expected sync frequency, important transformation rules, sample data where appropriate and any security or operational constraints.
A focused Connection Starter scope begins at $20 USD. Workflow Integration begins at $75 USD. Multi-system, high-volume or complex requirements are quoted after scope review.
The standard delivery window is 5–7 working days for a defined starter or workflow scope. Complex integrations may need a longer timeline, which is confirmed before work begins.
Depending on scope, you can receive the configured integration or pipeline, mapping and transformation logic, test evidence, implementation notes, run or handover guidance and source or configuration files that are part of the agreed deliverables.
Yes, when the source and destination provide suitable access methods. The exact approach is confirmed after reviewing the available APIs, database connectivity, file formats, export options or other supported interfaces.
Yes, where the selected systems and hosting environment support scheduled, event-driven or repeatable execution. Automation frequency, triggers, retries and monitoring are defined within the agreed scope.
Basic formatting, mapping and transformation rules can be included. More extensive cleansing, deduplication, enrichment or data-quality remediation may require a broader scope depending on volume and complexity.
Yes. Data Integration is highly dependent on your current systems, security model, data ownership, volume, latency requirements and operational workflow, so custom scoping is available when standard plans are not suitable.
Yes. The starter plan includes one revision round and the workflow plan includes two revision rounds. Custom engagements define revision and support expectations during scoping.
Ongoing monitoring, maintenance or enhancement support can be scoped separately when the integration requires operational ownership beyond the initial implementation and handover.
Use the enquiry form below and tell us which systems you need to connect, what data should move, how often it should sync and what outcome you need. We will review the requirement and confirm the most suitable scope, price and timeline.
Required fields help us understand the basic integration path before we confirm the plan, price and timeline.
