Use cases

Start with the path that needs to work.

Use Flower® for recurring file intake, preparation during transfer and delivery across environments you control. Each scenario starts with a recoverable unit and an explicit acceptance check.

Discuss your flow ↗

01Bring partner files into production

Receive recurring deliveries, check expected files and isolate invalid input before it reaches consumers.

  1. SFTP / S3
  2. Flower
  3. Quarantine / Lake
Bring partner files into production
Boundary to agreeAcceptance test
File naming, completeness and arrival windowDeliver one valid, one incomplete and one duplicate file. Confirm the agreed outcome for each.
Source retention and quarantine ownershipReject a malformed file; correct it and replay under operator control before enabling cleanup.

02Prepare data as it moves

Decode, filter, aggregate and convert formats near the source, then deliver the result to your analytical platform.

Agree on schema, required fields, precision and aggregation keys. Conversion changes the byte representation: a source checksum is not proof that transformed output is correct. Compare record counts and business totals, then read the output with the intended consumer.

  1. CSV / gzip
  2. Validate → transform
  3. Parquet

03Connect environments you control

Operate across private networks, clouds and edge nodes with explicit recovery, credential and retention boundaries.

Choose where Flower runs and which credentials it receives. Test temporary network loss, an expired credential and destination capacity exhaustion separately. Only operations classified as safe to repeat should be retried; an unknown delivery outcome may require reconciliation.

  1. Private / cloud / edge
  2. Flower
  3. Private / cloud / edge

Discuss your data path

Turn the requirement into a reliable production flow.

Describe the source, destination, volume, constraints, or failure mode. You will speak directly with the team that builds Flower.

Talk to the Flower team