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.

Define schema, required fields, precision and aggregation keys in the flow. Validate transformed output with record counts, business totals and consumer-ready format checks, making data quality part of the delivery.

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

03Connect environments you control

Operate across private networks, clouds and edge nodes with integrated recovery, credential management and retention policies.

Choose where Flower runs and configure access, recovery and delivery policies. Exercise network recovery, credential management and destination reconciliation to establish a repeatable operating process with clear evidence.

  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