---
title: Effortless File Ingestion to Your Data Warehouse | Hevo Data
description: Easily move files from Google Sheets, S3, FTP & more to Redshift, Snowflake, and BigQuery. Ingest and transform CSVs, JSON, XLSX, and compressed files with Hevo’s no-code platform. Get started in minutes.
canonical_url: https://hevodata.com/pipeline/file-storage-replication/
content_type: page
word_count: 354
source: https://hevodata.com/pipeline/file-storage-replication.md
---

# Effortless File Ingestion to Your Data Warehouse | Hevo Data

Hevo moves files from sources like Google Sheets, Amazon S3, and FTP into a warehouse such as Redshift, Snowflake, or BigQuery, ingesting and transforming CSVs, JSON, XLSX, and compressed formats through a no-code, fully managed platform.

## Key facts

- Used by 2,000+ companies worldwide.
- Supports FTP and SFTP servers plus major cloud storage platforms.
- Requested sources not yet supported can be built by Hevo.
- Fully managed: no development or maintenance load on internal teams.

## Ingesting files easily

- **Centralizes dispersed files automatically:** files from sources like sales records, customer feedback, and logs sync easily.
- **Syncs vendor and partner data:** CSVs, JSON, and spreadsheets from external vendors ingest to support internal systems.
- **Reduces build and maintenance load:** a fully managed platform removes the development and maintenance burden.

## Supported file formats

- **Text-based and markup files:** CSV, TSV, TXT, LOG, XML, YAML, Properties, and JSON.
- **Binary, spreadsheet, and compressed formats:** Avro, Parquet, ORC, Excel (XLS/XLSX), Google Sheets, .tar.gz, and .zip files.

## Smarter file replication

- **Skip headers automatically:** metadata is prevented from being included in the loaded schema.
- **Locate and load files quickly:** file pattern and folder search filter and replicate only the files needed.
- **Standardize data automatically:** files are normalized and structured for consistency, with destination schema auto-mapped to tables and columns without manual input.

## Pre-built connectors

File sources supported include FTP and SFTP servers and major cloud storage platforms. Sources not yet supported can be requested and Hevo will build them.

Full connector list: https://hevodata.com/integrations/pipeline/

## What customers say

- **Madhur Gadiya, Director of Analytics, ALLEN Digital:** "We were able to get everything set up in about three days. 0 maintenance, very high accuracy. Most of the things that you could think about were handled."
- **Pawan Darda, CTO, Pelago (by Singapore Airlines):** "With Hevo, moving data into our data lake is effortless. It eliminates complex schema management, pipelines, and transformations that would otherwise be time consuming and laborious."
- **Ramkumar Natarajan, Senior Manager, Data Operations, ThoughtSpot:** "With Hevo, downtime and pipeline breakages are a thing of the past. 24/7 responsive support resolves issues quickly, keeping our data operations running smoothly at all times."

Full case studies: https://hevodata.com/customers/

## Pricing

Hevo uses transparent, usage-based pricing with no credit card required to start.

## FAQ

### What file formats can Hevo ingest?

Text-based and markup formats (CSV, TSV, TXT, LOG, XML, YAML, Properties, JSON) and binary, spreadsheet, and compressed formats (Avro, Parquet, ORC, Excel, Google Sheets, .tar.gz, .zip).

### What file sources does Hevo support?

FTP and SFTP servers and major cloud storage platforms, with unsupported sources built on request.

### Does Hevo require manual schema mapping for file ingestion?

No. Destination schema auto-maps to tables and columns without manual input, and files are normalized and standardized automatically.

### Can Hevo load only specific files instead of an entire folder?

Yes, through file pattern and folder search that filter and replicate only the needed files.

### Does Hevo handle file headers automatically?

Yes. Headers are skipped automatically, preventing metadata from being included in the loaded schema.