Data Operations, Without the Scripts

Replace fragile scripts and manual spreadsheet work with visual data pipelines anyone on your team can build and maintain. Connect sources, transform data with visual rules, and deliver clean output on schedule.

14 day free trial • No credit card required
Data Pipeline
Amazon S3
products.csv • 3 sources
Synced
SFTP Server
pricing-export.csv • Daily
Synced
Google Drive
stock-levels.csv • Every 3h
Synced
Today's activity
Records processed 184,320
Active pipelines 3 running
Rules applied 12 transformations

Connect to any data source

Amazon S3
SFTP / FTP
Google Drive
CSV / XML
S3-Compatible

Your data pipeline shouldn't depend on one person's scripts

Product data lives in S3 buckets, ERP exports land on SFTP servers, pricing updates come in via Google Drive, and stock levels arrive as CSV email attachments. Stitching it all together is fragile, invisible, and entirely dependent on whoever wrote the script.

  • You own the pipeline. That means you own every failure.

    When a script breaks, the alert goes to whoever wrote it. That is you. Diagnose what broke, where, why, and fix it before the feed gets rejected. No documentation. No context. Just you and a stack trace at the worst possible time.

  • Every new source means a new script to babysit

    Add a second supplier? New script. New market with a different format? Another script. Each one is a dependency you have to keep alive, update when something upstream changes, and debug when it silently stops working. Five pipelines in, and you are doing nothing else.

  • A one line change takes a full morning

    Business wants a prefix added to the title field. Sounds simple. Find the right script. Understand logic someone wrote six months ago. Test it. Deploy it. Hope nothing else broke. Business thinks it took five minutes. It took your whole morning.

  • The script ran. The data is wrong. You had no idea.

    No logs. No alerts. No visibility into what went through and what did not. You find out when someone notices the feed is stale. By then you are backtracking through days of broken output.

  • If you leave, nothing works

    Nobody else on the team knows how the data flows. Which scripts run in which order. What happens when the SFTP password changes. You became the single point of failure for every data pipeline in the company.

sync_products.sh • cron job
BRITTLE
transform_data.py • no monitoring
FRAGILE
VISUAL PIPELINE

Feed Panda

Monitored • Scheduled • No code

Sources 3 connected
Transformations 12 rules active
Records 184,320 processed
Success rate 98.7% (7 days)

From scattered data to reliable pipeline in 3 steps

Connect any data source, transform with visual rules, and deliver clean output. No scripts required.

1

Connect your sources

Pull data from S3, SFTP, FTP, Google Drive, or OneDrive. Each connection is tested before saving, credentials are encrypted, and connections are reusable across multiple pipelines.

2

Transform visually

Map each source's columns to clean output columns. Apply visual rules to format values, filter rows, and handle edge cases. All with if/then/otherwise logic and live preview.

3

Deliver and monitor

Deliver to FTP, SFTP, S3, Google Drive, or OneDrive on a schedule. Monitor every run from the dashboard with success rates, failed syncs, and freshness tracking.

Scripts vs. Feed Panda

See what changes when you move from custom scripts and manual processes to a managed data pipeline.

Before: Scripts & Spreadsheets
  • ×
    Manual CSV editing in spreadsheets
  • ×
    Silent feed failures for days
  • ×
    Developer ticket for every format change
  • ×
    One person knows how the pipeline works
  • ×
    Large files crash the process
  • ×
    No idea when data last refreshed
After: Feed Panda
  • Visual rules engine
  • Live alerts when something fails
  • Self service transformations for the whole team
  • Documented, visible pipeline anyone can manage
  • Streaming architecture handles any file size
  • Freshness monitoring per pipeline

Built for data operations teams

Everything you need to replace brittle scripts with reliable, visible data pipelines.

Every pipeline in one dashboard

Run as many pipelines as you need from one place. Pulling from S3, SFTP, Google Drive, or affiliate networks. See status, schedule, and last sync for every pipeline at a glance.

ALL PIPELINES HEALTHY
Product catalog (S3)142,580
Pricing updates (SFTP)48,300
Stock levels (Drive)28,750
Last synced12 min ago

Visual rules engine

Replace custom transformation scripts with visual rules. Set values, format prices, strip HTML, map categories, concatenate fields, and skip rows. All with if/then/otherwise logic and live preview.

Full pipeline visibility

Dashboard with success rates, processing speed, record counts, and freshness status. Three stage progress tracking shows exactly where each sync is. No more guessing if your data is current.

Flexible scheduling

Set different sync frequencies per data source. Fast moving catalogs can sync hourly. Stable reference data syncs weekly. Set exact times for daily and weekly syncs to align with upstream systems.

SYNC SCHEDULE
Hourly
Every 3 / 6 / 12 hours
Daily (set time)
Weekly (set day + time)

Failure alerts with the exact reason

When a pipeline fails to parse a file, a destination returns an error, or a source becomes unreachable, Feed Panda flags it on your dashboard with the exact reason. You know about problems before someone points out the feed is wrong.

Team collaboration

Invite team members with role based permissions. Control who can manage connections, sources, feeds, and users separately. No more bus factor. Anyone on the team can maintain the pipeline.

Big catalogs, no surprises

Push a small daily export or millions of rows through at once. Feed Panda handles both without timeouts, crashes, or row limits. Watch the progress of every sync as it runs, so a big job is never a black box.

Stop maintaining scripts. Start operating data.

Connect your data sources once. Feed Panda transforms and delivers clean data on schedule, with full visibility and no code to maintain. Your whole team can build and manage pipelines.

Start free trial
14 day free trial No credit card required

Data operations FAQ

What data sources does Feed Panda support?
Feed Panda connects to Amazon S3 (and S3 compatible storage like MinIO, DigitalOcean Spaces), Google Drive, FTP, SFTP, and the Awin affiliate network. A native Tradedoubler integration is coming soon.
Can Feed Panda replace our custom ETL scripts?
For data pipelines that move files around, yes. If your scripts download files from FTP/S3, transform columns, clean data, and push the result somewhere else, Feed Panda does exactly that with a visual interface, scheduling, error handling, and monitoring built in. No code to maintain.
How does Feed Panda handle large files?
Feed Panda streams data through each pipeline stage. Files are never loaded entirely into memory. Whether your file has 10 rows or 10 million rows, it streams from download, through transformation, to delivery. Batch processing with progress tracking ensures consistent throughput.
Can team members who are not technical use Feed Panda?
That's the point. The visual rules engine, visual column mapping, and drag and drop interface are designed so anyone on your team can build and maintain data pipelines, without writing code or filing developer tickets.
What happens when a source file changes structure?
When a source's structure changes and the pipeline fails to parse, Feed Panda flags it on your dashboard with the exact error. Check what changed, update your mapping, and run the pipeline again before downstream feeds break.
How does role based access work for data teams?
Create custom roles with granular permissions. Control who can manage connections, data sources, feeds, users, and billing separately. Invite team members with the right role, and they see only what they need to. Each organization is fully isolated.
What monitoring and alerting does Feed Panda provide?
The dashboard shows success rates, failed syncs, records processed, processing speed, and data freshness. When a pipeline fails, you see the exact error on the dashboard. Run history tracks every sync with timestamps, status, and duration.