01 / PREPARE
Bring the pieces together.
Connect databases and files. Join, filter, and transform your data on a visual canvas, with every step in view.
From source files to a shared processDATA WORKFLOWS, ON YOUR TERMS
Complex data.
Clear workflows.
Turn fragmented data into repeatable business processes. A visual data platform for banks and corporate teams, built to run in your environment.
Build visually Run on Spark Own your workflows
FROM SOURCE TO DECISION
TransactionsSQL database
Reference dataCSV file
Join & prepareBring your data together
Validate totalsApply your business rules
Reporting datasetOUTPUT
Every step. In plain sight.Readable logic. Versioned workflows.
YOUR DATA. ALREADY PART OF THE PICTURE.
PostgreSQLMicrosoft SQL ServerOracleMySQLCSV & ExcelParquet
FROM MANUAL STEPS TO SHARED WORKFLOWS
Less repetitive work.
More control over the result.
Give business teams a visual way to work with data, and technical teams a process they can inspect, version, and operate.
02 / VALIDATE
Make the logic visible.
Build data checks into the workflow. Trace column dependencies and understand how each transformation shapes your output.
Business rules you can inspect03 / REPEAT
Build once. Work together.
Schedule recurring runs, share workflows with your team, and review or restore earlier versions as your process evolves.
A repeatable way to deliverBUILT AROUND YOUR WORK
Real processes.
A clearer way through.
Start with the data work your team repeats every day. Build the preparation and checks around the way your business operates.
Operations & control
Make recurring data checks repeatable.
Bring operational extracts together, compare datasets, and surface differences for review. Keep the preparation logic visible from source to output.
- Compare datasets and isolate differences
- Check completeness before producing an output
- Review changes to the workflow over time
ILLUSTRATIVE WORKFLOW
Daily data reconciliation
- 01Operational extracts
- 02Align columns & compare
- 03Separate differences for review
Exception datasetOUTPUT
BUSINESS FRIENDLY. ENGINEERING READY.
Your workflow.
Yours to keep.
A Stalvi workflow is a readable JSON file. Design it visually, version it in Git, and run it from the editor or command line on the same engine.
Portable by design
Your workflow logic lives in a file you can inspect and version.
Powered by Apache Spark
Execute transformations on the Spark infrastructure you choose.
From canvas to operations
The same pipeline can move from visual design to a scheduled or command-line run.
Your environment.
Your controls.
Your controls.
A PLACE IN YOUR ARCHITECTURE
Keep infrastructure
in your hands.
Self-host Stalvi alongside your data and connect it to the Spark infrastructure you operate. Configure identity, access, and storage to fit your deployment.
Self-hosted deployment
Run the editor, API, and supporting services in your environment.
Your identity provider
Connect through OpenID Connect, including Microsoft Entra ID.
Controlled collaboration
Give people and teams read or edit access. Keep connection credentials separate from workflow logic.
A FEW PRACTICAL DETAILS
Before you begin.
What to know when evaluating Stalvi for your team.
Who is Stalvi built for?
Stalvi is for teams that combine business knowledge with technical infrastructure: analysts who want to prepare data visually, and engineers who want readable workflows and Spark execution. Banks, treasury teams, and corporate finance functions can use it to build their own repeatable data processes.
Can we run Stalvi in our own environment?
Yes. Stalvi supports self-hosted deployment, with a standalone web editor, API, and configurable Spark and storage services. Your team provisions the infrastructure and configures identity, network access, and operational policies.
Can we move a process from Alteryx?
You can rebuild data preparation processes using Stalvi’s visual components. Start with a representative workflow, check that its required operations and data sources are supported, and validate the outputs side by side. Automatic import of Alteryx workflows is not offered here.
What makes a good first pilot?
Choose a recurring data preparation or reporting process with clear inputs, business rules, and an expected output. Use sample or approved data, involve both the process owner and your IT team, and agree how you will assess accuracy, repeatability, and deployment fit.
MAKE YOUR NEXT WORKFLOW A BETTER ONE
Start with one process.
See what changes.
Explore the workspace and turn a recurring data task into a workflow your team can build on.